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auto-first｜jia ni

the winner of the first national new energy vehicle power battery safety early warning algorithm competition was not the most aggressive new force, but the traditional powerhouse of joint venture car companies, faw-volkswagen.

the list of winners of the industry's first national new energy vehicle power battery safety early warning algorithm competition was announced at the "automotive new quality productivity development forum" held in chongqing on september 20. with its excellent algorithm system and cloud computing capabilities, the faw-volkswagen team ranked first in the comprehensive score, demonstrating faw-volkswagen's leading level in power battery safety early warning technology.

the competition was hosted by the technology innovation center of the state administration for market regulation. it is the first authoritative event in the new energy vehicle industry. it lasted more than three months and attracted the participation of 37 companies, universities, and research institutions. relying on the "evaluation method for safety early warning model of electric vehicle battery system" group standard, it focused on multiple dimensions such as algorithm precision rate, recall rate, and f1 scores of five single fault modes.

in order to further promote technical exchanges in the industry, faw-volkswagen was invited to participate in the "automotive new quality productivity development forum new energy vehicle safety warning technology" sub-forum held by the conference. dr. ni jing, manager of the new energy battery development department of faw-volkswagen technology development, delivered a keynote speech on "user safety services based on big data".

power battery safety warning, that is, before the vehicle is in danger, by monitoring vehicle data and using artificial intelligence to achieve the goal of early safety warning of vehicle failure. the first prize in this competition is due to faw-volkswagen's independent research and development results over the years. dr. ni jing, manager of the new energy battery development department of faw-volkswagen technology development, said that since 2022, faw-volkswagen has fully launched the i-data project, which widely involves the expansion of data application scenarios and data products, and the battery safety warning algorithm is an important part of it, and has been running as a pilot project.

as an industry leader, faw-volkswagen is well aware that true responsibility to users should not stop at product delivery. therefore, in terms of batteries, faw-volkswagen is rigorous and cautious in every link, from material selection on the design side, structural design of the battery system, battery management system to active and passive protection design, from strict recognition standards of sub-components to comprehensive verification of system integration on the verification side, and from process audits on the supplier side to comprehensive production quality supervision of self-made batteries on the quality side. in combination with the development of big data technology, the faw-volkswagen team further improves the power battery data analysis and early warning capabilities based on the core algorithm of deep neural networks. through the optimal decision-making of artificial intelligence, it realizes independent observation of each vehicle, intelligently locks abnormalities, prevents dangers before they happen, and escorts users' travel safety. at present, the algorithm has covered 26 types of failure modes, greatly improving the accuracy of fault warning and reducing the rate of missed faults. all indicators are at the leading level in the industry, and have all-round capabilities on the vehicle side, cloud side, and service side. it is faw-volkswagen's deep cultivation and innovation in battery safety early warning technology.

in recent years, the safety issues of new energy power batteries in my country have continued to become prominent. in order to solve the pain points of battery safety, faw-volkswagen has adhered to the quality bottom line to this day, deeply integrated big data and artificial intelligence technology, and continuously iterated and upgraded the battery safety early warning system. it has formed a big data value mining business chain covering data collection, storage, processing, analysis, and services. through independent breeding and incubation of technologies, tools and platforms, it has built a complete set of battery safety online protection solutions that cover comprehensive fault types, accurate algorithm predictions, agile fault handling, and can stand the test of the market. it not only provides strong technical support for users' battery safety, but also contributes wisdom and strength to the healthy development of new energy vehicles.

empowering battery safety with new technologies such as big data and artificial intelligence and accelerating the development of the new energy vehicle industry are new drivers of the "new quality productivity" of the automotive industry. in the future, faw-volkswagen will continue to stimulate the vitality of independent technological innovation, continue to strengthen the deep cultivation and investment in battery safety technology, and further upgrade "early warning risk" to "risk avoidance", from the "after-the-fact repair" mode of identifying vehicles with potential failures, to the "prepare for a rainy day" mode of guiding users to avoid vehicle failures, providing users with more reliable and complete safety protection, and helping the chinese automotive industry achieve high-quality development.