With the rapid development of the new energy vehicle industry and the overall number of electric vehicles, the thermal runaway problem of lithium-ion batteries has become a major obstacle to the promotion of elect. ••Compared with the artificial electrolyte leakage fault, the real-v. In recent years, with the gradual deterioration of the global environment, environmental protection and energy security issues have received widespread attention, and co. In order to better investigate the effect of leakage on the performance of lithium-ion batteries and to extract effective features for developing machine learning fault diagnosis algorit. Section 2 completes the testing and analysis of leaking batteries using laboratory charge/discharge equipment and electrochemical workstations. However, parameters such. In this section, an electrolyte leakage fault diagnosis algorithm is proposed based on a multi-modality and multi-classifier fusion framework, and the effectiveness of the algorithm will be. In this paper, the performance abnormalities of normal battery and real-vehicle electrolyte leakage battery are firstly analyzed by experimental comparison, and found that there.
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