Project introduction: With the widespread application of new energy buses, we will vigorously develop new energy bus monitoring and management technology, monitor the health status, safety status, life, etc. of the power battery through the real-time monitoring platform of vehicle operations, and provide early warning information, which will help Ensure that the power battery can work in good working conditions and ensure the safe and reliable operation of new energy buses. This project aims at the urgent need of new energy buses for high-reliability, long-life and high-safety power lithium-ion battery monitoring technology. It carries out in-depth analysis and utilization of data mining methods and battery mechanisms for bus operation big data, breaking through the integration of electrochemical models and data-driven models. Health status assessment, Key technologies such as multi-field coupling, high-precision and wide-adaptability power battery life prediction based on battery attenuation mechanism, and safety warning technology based on battery heat generation and thermal runaway analysis implement group-based intelligent management of batch-running electric bus battery packs; Combined with diagnostic charging piles, we will conduct refined testing and diagnosis on individual electric bus battery packs, and build a bus battery management and intelligent analysis system based on operation big data analysis and accurate diagnosis of diagnostic charging piles to improve the power battery life of new energy buses and Provide technical support for safety monitoring and early warning levels.

Main features: 1. Power lithium-ion battery health status assessment technology based on simplified mechanism model and attenuation correlation analysis;2. Power lithium-ion battery attenuation model and life prediction technology based on attenuation mechanism decomposition analysis;3. Power lithium-ion battery safety warning technology based on the full life cycle "health state-safety" coupling relationship;4. Bus battery management and intelligent analysis system based on the combination of operation big data analysis and accurate diagnosis of charging piles.

Technical level: The technology is at the leading level in China.

Application prospects: Mainly used in the new energy vehicle industry.