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06-122025
Report on the Integrated Development of Battery Testing Technology and AC/DC Bidirectional Converter Technology
The development history of battery testing technology Battery testing technology has gone through three major development stages: manual testing, automated testing, and intelligent testing. Each stage represents a significant leap in technology and methodology. The technological evolution from manual to intelligent Early battery testing mainly relied on manual operation, and technicians needed to manually record and analyze data. The characteristics of this stage are: The testing process is highly dependent on manual operation and monitoring The efficiency of data collection and analysis is low The test results are susceptible to human factors It is difficult to conduct long-term or large-scale tests With the development of computer technology, battery testing entered the automation stage (from the 1990s to the 2010s). The main characteristics of this period include: Introduce a computer control system to achieve the automation of the testing process Develop dedicated battery testing equipment and software Establish standardized testing methods and procedures The accuracy and repeatability of the test have been improved The progress at this stage has significantly enhanced the efficiency of battery testing, providing strong support for the rapid development of battery technology. The automated test system is capable of performing complex charge and discharge cycle tests and automatically recording and analyzing data [8]. At present, battery testing technology has entered the intelligent stage (from the 2020s to the present), and its main features are: Apply artificial intelligence and big data technologies to predict battery performance and assess battery life Develop non-destructive testing technology and micro-nano testing technology to improve testing accuracy Achieve a close integration of testing with battery design, manufacturing, recycling and other links • Emphasize full life cycle testing [8] At this stage, machine learning algorithms are widely applied in the prediction of battery cycle life. Studies show that traditional machine learning algorithms perform exceptionally well when dealing with limited data. For instance, random forest regressors can achieve an average absolute percentage error of at least 9.8% [4]. Comparison of efficiency, accuracy and cost in the three stages Battery testing techniques at different stages have significant differences in terms of efficiency, accuracy and cost: AC/DC bidirectional converter: An Innovation in test technology In recent years, the application of AC/DC bidirectional converters in battery testing represents an important technological breakthrough. This technology can achieve: • Charging process: Convert AC power to DC power to charge the battery • Discharge process: Convert the DC electrical energy of the battery into AC electrical energy • Energy recovery: Feed the energy generated by discharge back to the power grid to improve energy utilization efficiency In traditional battery testing systems, the discharge energy is usually dissipated as heat, and the system efficiency is 0%. By using a bidirectional AC-DC converter, the dissipated energy can be returned to the system, achieving the recycling of battery test charging energy and significantly improving the system efficiency [24]. Market prospects and development trends AC/DC bidirectional converters have broad development prospects in the battery testing market and are expected to maintain stable growth from 2025 to 2031. Battery testing technology will develop in the following directions in the future: The intelligence and automation levels of testing technology are constantly improving 2. Testing technology is developing towards high precision, high efficiency and low cost 3. The testing technology is closely integrated with the battery manufacturing process to achieve real-time monitoring and quality control during the production process 4. Develop new battery testing technologies to meet the development needs of new types of batteries such as solid-state batteries and lithium-sulfur batteries [8] With the continuous innovation of battery technology, testing techniques will also keep evolving, from simple capacity testing and discharge testing to complex thermal management and safety assessment, providing strong support for the healthy development of the battery industry. The latest progress in battery testing technology In 2024, battery testing technology is showing a development trend of intelligence, efficiency and standardization, and multiple innovative technologies are reshaping the field of battery testing. Applications of artificial intelligence and machine learning Significant progress has been made in the application of artificial intelligence technology in battery testing. Machine learning algorithms perform exceptionally well in battery cycle life prediction, especially the random forest regresder, which can achieve an average absolute percentage error of at least 9.8%. These algorithms can effectively understand the trends of the data set and provide a reliable basis for battery performance evaluation [4]. Progress in electrochemical impedance spectroscopy analysis technology In 2024, the application of electrochemical impedance spectroscopy (EIS) analysis technology in battery testing will be more widespread. This technology, by measuring the internal resistance of the battery, can evaluate parameters such as the charging and discharging efficiency and heat generation of the battery, providing an important basis for battery performance assessment [8]. Technological innovation of AC/DC bidirectional converter The application of AC/DC bidirectional converters in the field of battery testing is an important technological breakthrough in 2024. This technology can achieve the bidirectional flow of energy during the battery testing process, significantly improving the energy utilization efficiency of the testing system. In traditional battery testing systems, the discharge energy is usually dissipated as heat, and the system efficiency is 0%. By using a bidirectional AC-DC converter, the dissipated energy can be returned to the system, achieving the recycling of battery test charging energy. Experiments show that the converter adopting this technology has an efficiency as high as 92.9% at a 300W input (for battery charging) and 93.6% at a 1500W output (supporting the busbar) [21]. The improvement of standardized testing methods In 2024, the battery testing standard system will be more complete, and international standards will gradually align with domestic ones. The main standards include IEC62660 series, ISO12405 series and GB/T31484-2015, etc. These standards cover multiple aspects such as battery capacity testing, cycle life testing and safety testing [13]. Breakthroughs in battery technology for new energy vehicles In 2024, major breakthroughs were made in battery technology for new energy vehicles, especially in terms of energy density, charging speed and cycle life. The energy density of batteries has significantly increased. For instance, the energy density of Tesla's 4680 battery has reached as high as 300Wh/kg, and that of CATL's Qilin battery has reached 304Wh/kg. The charging speed has also achieved a qualitative leap. The 800V high-voltage platform technology enables the charging power to reach 500kW, significantly reducing the charging time [11]. The market for battery formation and testing is growing The global market size for battery formation and testing of electric vehicles was approximately 1,341.2 million US dollars in 2023. It is projected to grow at a compound annual rate of 17.5% over the next six years and reach 5,865.8 million US dollars by 2030. The market growth is mainly driven by the increasing demand for fast charging functions to reduce charging time and enhance the convenience of electric vehicles [12]. In conclusion, in 2024, battery testing technology will show a development trend of intelligence, efficiency and standardization. The application of AC/DC bidirectional converter technology, the introduction of artificial intelligence algorithms and the improvement of the standard system have jointly promoted the rapid development of battery testing technology, providing strong support for the healthy development of the battery industry. Comparison of battery testing technology standard systems at home and abroad Battery testing standards are an important guarantee for ensuring battery performance, safety and reliability. With the rapid development of the global electric vehicle and energy storage markets, the battery testing standard systems at home and abroad are also constantly improving. This article will analyze the differences between domestic and foreign battery testing technology standard systems. International Battery testing standard system International battery testing standards are mainly formulated by the International Electrotechnical Commission (IEC), the International Organization for Standardization (ISO), Underwriters Laboratories (UL), the Society of Automotive Engineers (SAE), and relevant institutions in the European Union [13]. The standards for power lithium-ion batteries issued by IEC mainly include IEC62660-1:2010 "Lithium-ion Power Battery cells for Electric Road vehicles - Part 1: Performance testing" and IEC62660-2:2010 "Lithium-ion Power Battery cells for Electric Road Vehicles - Part 2: Reliability and abuse testing". These standards mainly target the performance and safety tests of individual battery cells [13]. The standards formulated by ISO include the ISO12405 series, which is divided into three parts: ISO12405-1 for high-power batteries, ISO12405-2 for high-energy batteries, and ISO12405-3 for safety performance requirements. The aim is to provide vehicle manufacturers with optional test items and methods [13]. The UL2580 standard of the United States mainly assesses the reliability of battery abuse and the ability to protect personnel when abuse causes harm. The SAE standard system is more complete, including SAEJ2464 for battery abuse testing, SAEJ2929 for battery system safety standards, and SAEJ2380 for battery vibration testing, etc. [13] Chinese battery testing standard system The battery testing standard system in China started relatively late but has developed rapidly. In 2001, the Automotive Standardization Committee issued China's first guiding technical document for the testing of lithium-ion batteries in electric vehicles, GB/Z18333.1:2011 "Lithium-ion Batteries for Electric Road Vehicles" [13]. In 2006, the Ministry of Industry and Information Technology issued QC/T743 "Lithium-ion Power Batteries for Electric Vehicles", which was revised in 2012. These early standards were mainly targeted at the monomer and module levels and had a relatively narrow application scope [13]. In 2015, the Standardization Administration of the People's Republic of China promulgated a series of standards. Including GB/T31484-2015 "Cycle Life Requirements and Test Methods for Power Batteries for Electric Vehicles", GB/T31485-2015 "Safety Requirements and Test Methods for Power Batteries for Electric Vehicles", GB/T31486-2015 "Electrical Performance Requirements and Test Methods for Power Batteries for Electric Vehicles", and GB/T31 467 series standards [13]. The main differences between domestic and foreign standard systems 1. Completeness of the standard system: The international standard system is more complete, covering all aspects of batteries, while the Chinese standard system, although developing rapidly, is still being continuously improved [14]. 2. Focus of test methods: International standards place more emphasis on the safety and reliability testing of batteries, such as UL and SAE standards; The Chinese standard, on the other hand, pays more attention to the performance and cycle life tests of batteries [13]. 3. Standard update frequency: International standards are updated frequently to adapt to the rapidly developing battery technology. The update of Chinese standards is relatively slow, but the update speed has accelerated in recent years [14]. 4. Strictness of test conditions: In some test items, the test conditions of Chinese standards may be more stringent to adapt to the special climate and road conditions in China [13]. 5. Degree of internationalization of standards: China is actively promoting the internationalization of battery testing standards, facilitating the alignment of domestic standards with international ones, and enhancing the international competitiveness of Chinese battery products [14]. With the continuous development of battery technology and the expansion of application scenarios, the battery testing standard system will also be constantly improved. The differences between domestic and foreign standards will gradually narrow, jointly promoting the healthy development of the global battery industry. The Application of AC/DC Bidirectional Converter in Battery Testing AC/DC bidirectional converters have broad application prospects in the field of battery testing, and their bidirectional energy flow characteristics have brought revolutionary changes to battery testing. Energy recovery type battery testing system In traditional battery testing systems, the energy during battery discharge is usually dissipated as heat, and the system efficiency is 0%. The test system using a bidirectional AC/DC converter can achieve the recycling of energy: • Charging stage: Convert AC grid power into DC power to charge the battery • Discharge stage: Convert the DC power of the battery back to AC power and feed it back to the power grid The energy recovery rate is as high as over 90%, significantly reducing the energy consumption for testing [21]. This energy recovery type testing system is particularly suitable for the testing process of large-scale battery production lines and can significantly reduce operating costs. Battery cycle life test Bidirectional AC/DC converters play a significant role in battery cycle life tests: Achieve precisely controlled charge and discharge cycles to simulate actual usage scenarios Support high-precision current and voltage control to ensure consistency in test conditions • It can perform complex charge and discharge curves to evaluate battery performance under different working conditions [8] Battery Backup System (BBU) test The bidirectional AC/DC converter can be used as the interface of the battery backup system for testing and verification: Simulate power grid failure scenarios to test the battery pack's ability to maintain equipment functions Monitor the voltage drop of the battery pack during discharge and verify the ability of the power conversion interface to maintain the bus voltage Realize battery charging and busbar interface functions in a single device to gain cost and size advantages [21] Electric vehicle battery testing In the field of electric vehicle battery testing, bidirectional AC/DC converters have unique advantages: Simulate the charging and discharging conditions of vehicles, including fast charging and slow charging scenarios • Test the battery performance under an 800V high-voltage platform. For instance, the charging power of the ZEEKR 007 can reach 500kW under an 800V high-voltage platform [11] Evaluate the performance of the battery under different temperature and load conditions High-efficiency testing platform The newly developed bidirectional AC/DC converter test platform has significant efficiency advantages: When charging the battery, the efficiency can reach up to 92.9%(300W). The efficiency reaches 93.6%(1500W) when supporting the busbar. Higher power levels can be easily achieved through reconfiguration or parallel connection [21]. Test of energy storage system In the testing of energy storage systems, the three-port bidirectional AC/DC converter provides a flexible testing solution: It provides three interfaces: DC-BUS port, DC input port and AC port Support the situation where the battery voltage is lower than the peak amplitude of the AC voltage • Conduct bidirectional energy exchange tests between energy storage systems and power grids [6] The application of bidirectional AC/DC converter technology not only enhances the efficiency and accuracy of battery testing, but also reduces the testing cost, providing strong support for the rapid development of battery technology. With the continuous innovation of battery technology, the application of bidirectional AC/DC converters in the field of battery testing will become more widespread. Advantages of the bidirectional AC/DC converter battery testing system Bidirectional converter technology has brought about a revolutionary change in the field of battery testing, significantly enhancing the efficiency and performance of the testing system through innovative energy management methods. This article conducts an in-depth analysis of the core advantages of this technology and its impact on the battery testing industry. Energy recovery and system efficiency improvement The main defect of the traditional battery testing system lies in the low energy utilization rate. During the discharge test process, the energy released by the battery is usually converted into heat dissipation, and the energy utilization efficiency of the system is close to zero. The test system adopting bidirectional converters has completely changed this situation: • Energy recycling: The energy generated by battery discharge is fed back to the power grid or other test units • Significantly reduce energy consumption: The energy recovery rate can reach over 90%, greatly reducing energy consumption during the testing process • Reduce heat dissipation requirements: Minimize heat generation and simplify the design of the cooling system This highly efficient energy management approach is particularly suitable for large-scale battery production lines, which can significantly reduce the operating costs and carbon emissions in the testing process. The qualitative change in test accuracy and control capability Bidirectional converter technology has brought unprecedented precision and control capabilities to battery testing: • High-precision current control: Achieve milliampere-level precise current regulation to meet the testing requirements of various batteries • Dynamic response capability: Quickly adjust charging and discharging parameters to simulate load changes in actual usage scenarios • Complex working condition simulation: Capable of executing multiple charge and discharge curves to evaluate the performance of the battery in different application scenarios These advantages make the test results more reliable and provide a solid foundation for battery performance evaluation and quality control. Multi-functional integration and space efficiency Modern bidirectional converter test systems have achieved multi-functional integration, bringing significant space and cost advantages: • Function integration: Achieve battery charging and discharging functions in a single device to reduce the number of devices • Modular design: Power levels can be easily expanded through parallel connection or reconfiguration, enhancing system flexibility • Reduced floor space: The integrated design reduces the space requirements of the testing system and optimizes the layout of laboratories or production lines The ability to adapt to new battery technologies With the rapid development of battery technology, the test system must have the ability to adapt to new types of batteries: • High-voltage platform support: Adapt to the testing requirements of 800V high-voltage battery platforms and meet the development requirements of fast charging technology for new energy vehicles • Wide voltage range: Supports various battery tests from low voltage to high voltage, adapting to the development of different battery technologies • Programmability: Adapt to the testing requirements of new types of batteries through software updates to extend the service life of testing equipment Standardized tests are in line with international standards The bidirectional converter test system helps to achieve the standardization of battery testing: • Comply with international standards: Supports the testing methods stipulated in international standards such as IEC62660 series and ISO12405 series • Test consistency: Ensure that the test results of batteries from different batches and different manufacturers are comparable • Promote international cooperation: Facilitate the alignment of domestic battery testing standards with international standards to enhance the international competitiveness of Chinese battery products. Cost-benefit analysis The economic benefits of the bidirectional converter test system are mainly reflected in the following aspects: 成本因素 传统测试系统 双向转换器测试系统 能源消耗 高(能量完全损耗) 低(能量回收率>90%) 设备投资 中等 较高(但长期回报显著) 运营成本 高(高能耗、高散热) 低(能量循环利用) 空间需求 大(多设备) 小(集成化设计) 系统扩展性 有限 高(模块化设计) Overall, although the initial investment in the bidirectional converter test system is relatively high, the long-term economic benefits are significant through energy recovery and reduced operating costs, especially in large-scale battery production and testing scenarios where it has more advantages. With the continuous innovation of battery technology and the increasing complexity of testing requirements, bidirectional converter technology will play an increasingly important role in the field of battery testing, promoting the battery industry to develop in a more efficient, safer and more sustainable direction. Analysis of the Market Prospect of AC/DC Bidirectional Converter Battery Testing Market size and growth forecast The battery testing market is experiencing rapid growth, especially as the application of bidirectional converter technology has driven industry transformation. The global market size for battery formation and testing of electric vehicles was approximately 1,341.2 million US dollars in 2023. It is projected to grow at a compound annual rate of 17.5% over the next six years and reach 5,865.8 million US dollars by 2030 [12]. This growth was mainly driven by the increasing demand for fast charging functions and the rapid development of the electric vehicle industry. Technological innovation and expansion of application scenarios In the future, bidirectional converter technology will present the following development trends in the field of battery testing: 1. Popularization of energy recovery technology: The bidirectional converter technology will completely change the situation in traditional test systems where energy is dissipated as heat. By feeding energy back to the power grid, it can achieve an energy recovery rate of over 90%, significantly reducing test energy consumption and operating costs [21]. 2. Increased demand for high-voltage platform testing: With the development of 800V high-voltage platform technology, battery testing equipment needs to adapt to the testing requirements of higher voltage and greater power. For instance, under an 800V high-voltage platform, the charging power of the ZEEKR 007 can reach 500kW, and it only takes 10 minutes to charge from 30% to 80%[11]. 3. Multi-scenario application expansion: Bidirectional converter technology will be widely applied in various scenarios: - Electric vehicle battery testing: Simulate actual charging and discharging conditions to evaluate battery performance under high-voltage platforms -Energy storage system testing: Achieve bidirectional energy exchange testing between the energy storage system and the power grid - Battery backup system testing: Implement battery charging and busbar interface functions in a single device to gain cost and size advantages. Differentiated development of regional markets The global bidirectional converter battery testing market will show a regional differentiated development trend: 1. Asia-pacific region: The Asia-Pacific region, represented by China, will become the largest market growth point, mainly due to the rapid development of the electric vehicle industry in this region and government policy support. 2. European market: The European market will place greater emphasis on the improvement of testing standards and environmental protection requirements, promoting the wide application of energy recovery type testing systems. 3. North American market: The North American market will pay more attention to high-end testing equipment and intelligent solutions, promoting the integration of artificial intelligence and testing technology. Changes in the market competition pattern With the development of technology, the competitive landscape of the bidirectional converter battery testing market will undergo significant changes: 1. Increased technical barriers: As testing technologies become more complex and specialized, market entry barriers will rise, and leading manufacturers will take the lead by relying on advanced technologies and complete supply chains [17]. 2. Accelerated industry consolidation: It is expected that within the next few years, the industry will undergo a round of consolidation, forming industrial clusters centered on technology-leading enterprises. 3. Deepening of specialized division of labor: The market will form a more specialized division of labor, with some enterprises focusing on the development of test solutions for specific application scenarios. Integration of intelligence and data analysis The future bidirectional converter test system will be more intelligent: 1. Artificial intelligence application: Integrating artificial intelligence algorithms for battery state estimation and life prediction, for instance, the random forest regressive device can achieve an average absolute percentage error of at least 9.8% [4]. 2. Big data analysis: By collecting and analyzing massive amounts of test data, the accuracy and efficiency of testing are enhanced, providing data support for battery design and manufacturing. 3. Modular and scalable design: Power levels can be easily expanded through parallel connection or reconfiguration, enhancing system flexibility and adapting to the development needs of different battery technologies [21]. With the continuous innovation of battery technology and the increasing complexity of testing requirements, bidirectional converter technology will play an increasingly important role in the field of battery testing, promoting the battery industry to develop in a more efficient, safer and more sustainable direction. Development Trends of AC/DC Bidirectional Converter Battery Testing Technology in 2024 Innovation in energy recovery technology In 2024, AC/DC bidirectional converters made a breakthrough in the field of battery testing. In traditional battery testing systems, the energy during battery discharge is usually dissipated as heat, and the system efficiency is close to 0%. The test system adopting bidirectional converters has completely changed this situation and achieved efficient recycling of energy [10]. The newly developed bidirectional AC/DC converter test platform demonstrates significant efficiency advantages: When charging the battery, the efficiency can reach up to 92.9%(300W). The efficiency reaches 93.6%(1500W) when supporting the busbar. The energy recovery rate exceeds 90%, significantly reducing the energy consumption for testing [21]. Multi-functional integration and application scenario expansion The bidirectional converter test system in 2024 has achieved multi-functional integration, enabling both battery charging and discharging functions in a single device, significantly reducing the number of devices and floor space. This integrated design is particularly suitable for: Battery cycle life test: Achieve precisely controlled charge and discharge cycles to simulate actual usage scenarios 2. Battery Backup System (BBU) Test: Simulate a power grid failure scenario to test the battery pack's ability to maintain equipment functionality 3. Electric vehicle battery testing: Supports 800V high-voltage platform testing, meeting the development needs of fast charging technology for new energy vehicles 4. Energy storage system testing: Three interfaces, namely DC-BUS port, DC input port and AC port, are provided to realize the bidirectional energy exchange test between the energy storage system and the power grid [8]. Integration of intelligence and data analysis In 2024, the bidirectional converter test system will be deeply integrated with artificial intelligence technology, bringing about significant improvements in test accuracy and efficiency: Machine learning algorithms perform exceptionally well in battery cycle life prediction, especially the random forest regresder, which can achieve an average absolute percentage error of at least 9.8% Big data analysis technology is used to collect and analyze massive amounts of test data, providing data support for battery design and manufacturing The intelligence and automation levels of testing technology are constantly improving, and technologies such as artificial intelligence and big data are utilized for battery performance prediction and life assessment [9]. Market outlook and growth forecast The battery testing market is experiencing rapid growth, especially as the application of bidirectional converter technology has driven industry transformation. The global market size for battery formation and testing of electric vehicles was approximately 1,341.2 million US dollars in 2023. It is projected to grow at a compound annual rate of 17.5% over the next six years and reach 5,865.8 million US dollars by 2030. This growth was mainly driven by the increasing demand for fast charging functions and the rapid development of the electric vehicle industry [12]. Standardization is in line with international standards In 2024, the battery testing standard system will be more complete, and international standards will gradually align with domestic ones. The main standards include IEC62660 series, ISO12405 series and GB/T31484-2015, etc. These standards cover multiple aspects such as battery capacity testing, cycle life testing and safety testing, providing normative guidance for the application of bidirectional converter testing systems [13]. With the continuous innovation of battery technology and the increasing complexity of testing requirements, bidirectional converter technology will play an increasingly important role in the field of battery testing, promoting the battery industry to develop in a more efficient, safer and more sustainable direction. A roadmap for the integrated development of battery testing technology and AC/DC bidirectional converter technology The key node of technological integration The emergence of energy recovery type testing systems (2020-2022) In traditional battery testing systems, the discharge energy is usually dissipated as heat, and the system efficiency is 0% The application of bidirectional AC-DC converters enables the dissipated energy to be returned to the system, achieving the recycling of battery test charging energy The energy recovery rate reaches over 90%, significantly reducing test energy consumption and operating costs [24] 2. Breakthroughs in High-Efficiency Bidirectional Converter Technology (2023-2024) The efficiency of the newly developed bidirectional AC/DC converter test platform has been significantly improved: When charging the battery, the efficiency can reach up to 92.9%(300W). The efficiency reaches 93.6%(1500W) when supporting the busbar. Higher power levels can be easily achieved through reconfiguration or parallel connection [24]. 3. Integration of Intelligent Testing Technology and Bidirectional Converters (2024-2025) Artificial intelligence and big data technologies are applied to battery performance prediction and life assessment Machine learning algorithms perform exceptionally well in battery cycle life prediction, with random forest regressors capable of achieving an average absolute percentage error of at least 9.8% Testing technology is developing towards high precision, high efficiency and low cost to meet the demands of large-scale battery production [8]. Future development direction 1. Comprehensive standardization in line with international standards (2025-2026) Establish and improve the battery testing standard system to enhance the accuracy and comparability of test results Promote the alignment of international standards with domestic ones and facilitate the international development of battery testing technology The main standards include IEC62660 series, ISO12405 series and GB/T31484-2015, etc. [13] 2. Multi-functional Integration and Application Scenario Expansion (2026-2027) Achieve battery charging and busbar interface functions in a single device to gain cost and size advantages The application has expanded to multiple fields such as electric vehicles, energy storage systems, and portable electronic devices • Supports 800V high-voltage platform testing to meet the development needs of fast charging technology for new energy vehicles [9] 3. Adaptation of New Battery Testing Technologies (2027-2028) Develop testing technologies applicable to new types of batteries such as solid-state batteries and lithium-sulfur batteries Explore non-destructive testing technology, micro-nano testing technology, etc., to enhance testing accuracy and efficiency Strengthen the integration of battery testing with battery design, manufacturing, recycling and other links to achieve full life cycle testing [8] 4. Deep Integration of Intelligence and Automation (2028-2030) The intelligence and automation levels of testing technology are constantly improving • Utilize technologies such as artificial intelligence and big data to predict battery performance and assess battery life Testing technology emphasizes a close integration with battery manufacturing processes to achieve real-time monitoring and quality control during the production process [9] Market prospect The global market size for battery formation and testing of electric vehicles is expected to grow from 1,341.2 million US dollars in 2023 to 5,865.8 million US dollars in 2030, with a compound annual growth rate of 17.5%. This growth was mainly driven by the increasing demand for fast charging functions and the rapid development of the electric vehicle industry [12]. With the continuous innovation of battery technology and the increasing complexity of testing requirements, bidirectional converter technology will play an increasingly important role in the field of battery testing, promoting the battery industry to develop in a more efficient, safer and more sustainable direction. Reference source: "Excess Density as a Descriptor for Electrolyte Solvent Design" literature link 2. Intrinsic Electrochemical Limits Preceding Dendrite Penetration in Ceramic Electrolytes Literature link 3. Secure and Trustworthy NFC-based Sensor Readout for Battery Packs in Battery Management Systems Literature link 4. Forecasting Lithium-Ion Battery Longevity with Limited Data Availability: Literature link of Benchmarking Different Machine Learning Algorithms 5. A computerized system for testing batteries in full controlled environment literature link 6. Three-Port-Converter-Based Single-Phase Bidirectional AC–DC Converter With Reduced Power Processing Stages and "Improved Overall Efficiency" literature link 7. Literature link of Single-phase bidirectional AC-DC converters for plug-in hybrid electric vehicle applications 8. Advances in Battery Testing Technology - Insights Research Original Link 9. Advances in Battery Testing Technology - Insights Research Original Link 10. Advances in Battery Testing Technology - Insights Research Original Link 11. How much do you know about the major breakthrough in new energy vehicle battery technology in 2024? Original link 12. Global and Chinese Electric Vehicle battery formation and Testing Market Technology Progress and Prospect Forecast 2024 Original link 13. Comparison of Domestic and International Lithium Battery Testing Standards! Original link 14. Internationalization of Battery Testing Standards - Analysis and Insights Original Link 15. Comparison of Testing Standards for Power Lithium Batteries: Analysis of International and American Standards - Original link 16. Design and Analysis of Bidirectional DC-DC Converter Original link 17. Key Research on Bidirectional DC/DC Converters in Battery Testing Systems Original link 18. Original link of the brand-new high-efficiency isolated bidirectional DC 19. Design and Analysis of a Brand-new Bidirectional DC-DC Converter Original link 20. A Brief Analysis of the Future Market Development Prospects of DC/DC Converters Original link 21. China AC/DC Converter Development Status and Prospect Trend Analysis Report 2025-2031 ߓ Original link 22. Original link of the report on the Current Market Situation, Competitive Landscape and Development Prospect Forecast of AC-DC Power Converters 23. 2024 New Energy Vehicle DC/DC Converter Market: In-depth Analysis of Competitive Landscape and Future Trends Original Link 24.... The bidirectional DC-DC converter test platform leads the innovation of energy storage technology. Original link
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02-202025
Μελλοντικές τάσεις στις δοκιμές μπαταριών με τεχνητή νοημοσύνη
Μελλοντικές τάσεις στις δοκιμές μπαταριών με τεχνητή νοημοσύνη Ι. Ευφυής αναβάθμιση της διαδικασίας δοκιμής Αυτοματοποιημένες δοκιμές πλήρους κύκλου ζωήςΗ τεχνητή νοημοσύνη έχει επιτύχει πλήρη κάλυψη δοκιμών διαδικασίας από την έρευνα και την ανάπτυξη υλικών μπαταρίας μέχρι το τελικό προϊόν.χρησιμοποιώντας αλγόριθμους βαθιάς μάθησης για την πρόβλεψη της απόδοσης των τύπων ηλεκτρολυτών, ο κύκλος δοκιμών συντομεύεται από 6-12 μήνες σε 2-4 εβδομάδες1 με τις παραδοσιακές μεθόδους δοκιμής και σφάλματος.Το σύστημα διαχείρισης μπαταρίας (BMS) της Tesla ενσωματώνει πρόβλεπτα μοντέλα τεχνητής νοημοσύνης για την παρακολούθηση 200+ παραμέτρων κυττάρων σε πραγματικό χρόνο με ακρίβεια διάγνωσης σφαλμάτων 99,3%. Ευφυής δημιουργία δοκιμαστικών περιπτώσεωνεργαλεία δημιουργίας σεναρίων δοκιμών με βάση μεγάλα γλωσσικά μοντέλα, όπως το Diffblue Cover,μπορεί να δημιουργεί αυτόματα λύσεις δοκιμής που καλύπτουν ακραίες συνθήκες (-40°C χαμηλής θερμοκρασίας /60°C κύκλος υψηλής θερμοκρασίας), και η αποτελεσματικότητα της δημιουργίας περιπτώσεων χρήσης αυξάνεται κατά 80%. 2. Μεταβολή του παραδείγματος της έρευνας και ανάπτυξης υλικών Διασταυρούμενη προσομοίωση και συγχώνευση δεδομένωνΣυστήματα μοριακής δυναμικής μη von Neumann, όπως το NVNMD, συνδυάζουν κβαντική πληροφορική με τεχνητή νοημοσύνη για να επιτευχθεί προσομοίωση σε ατομικό επίπεδο της ιοντικής κινητικότητας σε στερεά ηλεκτρολύτες,αύξηση της αποτελεσματικότητας της Ε&Α κατά 5 φορές.Η τεχνολογία Dow χρησιμοποιεί τεχνητή νοημοσύνη για την ανίχνευση αγωγών νανοσωλήνων άνθρακα με ένα τοίχωμα, μειώνοντας την αντίσταση της διεπαφής των μπαταριών στερεής κατάστασης κατά 40%, και σπάζοντας την πυκνότητα ενέργειας των 500Wh / kg. Πρόβλεψη και βελτιστοποίηση ελαττωμάτων υλικώνΟ αλγόριθμος βαθιάς μάθησης μπορεί να εντοπίσει μικροσκοπικές ρωγμές σε εικόνες SEM υλικών ηλεκτροδίων (με ακρίβεια 0,1μm),και συνδυάζονται με γενετικά ανταγωνιστικά δίκτυα (GAN) για να προσομοιώσουν την πορεία εξέλιξης ελαττωμάτων υπό διαφορετικές παραμέτρους διαδικασίας. 3- Ακριβής έλεγχος της ποιότητας της παραγωγής Ψηφιακά δίδυμα και βελτιστοποίηση διαδικασιώνΗ τεχνολογία ψηφιακών δίδυμων προετοιμάζει την όλη διαδικασία παραγωγής και μπορεί να βελτιστοποιήσει τις παραμέτρους της διαδικασίας πριν από την κατασκευή της φυσικής γραμμής παραγωγής.Μετά την εφαρμογή αυτής της τεχνολογίας στην εποχή Ningde, το σφάλμα ομοιομορφίας της επικάλυψης του ηλεκτρόδου της μπαταρίας μειώθηκε από ±3μm σε ±1μm. Σύστημα ανίχνευσης ελαττωμάτων σε πραγματικό χρόνοΟ εξοπλισμός οπτικής επιθεώρησης τεχνητής νοημοσύνης (όπως η μονάδα λέιζερ Hamestar) επιτυγχάνει αναγνώριση στύλου 0,01 mm2 με ποσοστό ψευδούς ανίχνευσης μικρότερο από 0,05%,η οποία είναι 20 φορές πιο αποτελεσματική από την παραδοσιακή οπτική επιθεώρηση. 4Ανασυγκρότηση του συστήματος δοκιμών Πρότυπο δοκιμής επιταχυνόμενης καύσηςΤο σύστημα πρόβλεψης ζωής που βασίζεται σε νευρωνικό δίκτυο μπορεί να εξακριβώσει την καμπύλη γήρανσης 10 ετών μέσω 30 ημερών ταχείων δεδομένων δοκιμής, και η συμφωνία με τα πραγματικά δεδομένα οχήματος είναι 93%. Δυναμική αξιολόγηση των κινδύνων για την ασφάλειαΤο ομοσπονδιακό πλαίσιο εκμάθησης ενσωματώνει δεδομένα εταιρειών πολλαπλών οχημάτων για να δημιουργήσει ένα μοντέλο προειδοποίησης θερμικής απόδρασης,που μπορεί να ενεργοποιήσει έναν τρισδιάστατο μηχανισμό προστασίας όταν η θερμοκρασία της μπαταρίας αυξηθεί μη φυσιολογικά κατά 00,5 °C και η ταχύτητα απόκρισης είναι 400 ms4 ταχύτερη από την παραδοσιακή μέθοδο κατώτατων ορίων. 5- Κατεύθυνση της ολοκλήρωσης της τεχνολογίας και της καινοτομίας Συνεργατική δοκιμή cloud AI+IoTΟ ενσωματωμένος τερματικός σταθμός ανεβάζει τα δεδομένα κατάστασης της μπαταρίας (SOH) σε πραγματικό χρόνο,Και το cloud AI cluster βελτιστοποιεί δυναμικά το πρωτόκολλο δοκιμής για να συνειδητοποιήσει τα δεδομένα δοκιμής κλειστού βρόχου εκατομμυρίων οχημάτων.. Γεννημένες εκθέσεις δοκιμών με τη βοήθεια τεχνητής νοημοσύνηςΤα μοντέλα της κατηγορίας GPT-4 παράγουν αυτόματα εκθέσεις δοκιμών σύμφωνα με το πρότυπο ISO/IEC 17025 με ακρίβεια άνω του 95% στην ερμηνεία βασικών παραμέτρων, όπως ο ρυθμός αποσύνθεσης της χωρητικότητας και η αλλαγή της εσωτερικής αντίστασης. Προβλέψεις για τις επιπτώσεις στον κλάδοΜέχρι το 2028, η τεχνητή νοημοσύνη θα μειώσει το κόστος δοκιμών μπαταριών κατά 60% και τους κύκλους δοκιμών κατά 75%, οδηγώντας τους κύκλους μαζικής παραγωγής μπαταριών στερεής κατάστασης από περίπου 10 χρόνια σε 6 χρόνια.Προτείνεται στις επιχειρήσεις να επικεντρωθούν στην εφαρμογή της σύντηξης των ψηφιακών δίδυμων, ομοσπονδιακή μάθηση, προσομοίωση πολλαπλών φυσικών πεδίων και άλλες τεχνολογίες, και να οικοδομήσουν ένα σύστημα κλειστού κύκλου δεδομένων "Ε&Α - δοκιμές - παραγωγή".
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02-202025
Δοκιμές μπαταριών με βάση την τεχνητή νοημοσύνη: Επιτάχυνση της καινοτομίας στα συστήματα αποθήκευσης ενέργειας
Δοκιμές μπαταριών με βάση την τεχνητή νοημοσύνη: Επιτάχυνση της καινοτομίας στα συστήματα αποθήκευσης ενέργειας Πώς η Μηχανική Μάθηση και η Εικονική Όραση Μεταμορφώνουν την Ε&Α των Μπαταριών 1Βασικές τεχνολογίες τεχνητής νοημοσύνης που φέρνουν επανάσταση στην δοκιμή μπαταριών Μηχανική Μάθηση (ML) για Προγνωστική Ανάλυση Προβλέψεις κύκλου ζωής: Τα μοντέλα βαθιάς μάθησης αναλύουν τα ιστορικά δεδομένα φόρτισης-αφόρτισης για να προβλέψουν τα πρότυπα υποβάθμισης της μπαταρίας, επιτυγχάνοντας ακρίβεια 92% στην πρόβλεψη της υπόλοιπης ωφέλιμης ζωής (RUL). Προσδιορισμός της κατάστασης βλάβης: Τα νευρωνικά δίκτυα ανιχνεύουν πρώιμα σημάδια θερμικής απόδρασης, συσχετίζοντας διακυμάνσεις τάσης (ανωμαλίες ± 50mV) με ακμές θερμοκρασίας, επιτρέποντας προειδοποιήσεις 30 λεπτών. Εικονική όραση για ανάλυση μικροδομής Ανίχνευση ελαττωμάτων ηλεκτροδίων: Τα σχηματιστικά νευρικά δίκτυα (CNN) επιτυγχάνουν ακρίβεια 99,7% στον εντοπισμό ρωγμών σε επίπεδο μικρών σε υλικά καθοδίων χρησιμοποιώντας δεδομένα ακτινογραφίας CT ακτίνων Χ. Παρακολούθηση του στρώματος SEI: Η επεξεργασία εικόνας SEM σε πραγματικό χρόνο παρακολουθεί την ανάπτυξη της διαφάνειας στερεών-ηλεκτρολυτών σε ανάλυση 5nm, κρίσιμη για τη βελτιστοποίηση των σκευών ηλεκτρολυτών. 2. Τελευταίες εφαρμογές Γεννητική τεχνητή νοημοσύνη για την ανακάλυψη υλικών Το υβριδικό σύστημα κβαντικής τεχνητής νοημοσύνης της Microsoft εντόπισε τον υποψήφιο ηλεκτρολύτη "N2116" σε 80 ώρες, μια εργασία που απαιτούσε 20+ χρόνια με παραδοσιακές μεθόδους. Η πλατφόρμα τεχνητής νοημοσύνης της LG Chem® σχεδιάζει εξατομικευμένες αρχιτεκτονικές κυττάρων σε
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