The rapid development of electric vehicles in the world has made lithium-ion batteries a popular development as clean energy in the coming years. (1−3) Compared with traditional fuel vehicles, electric vehicles use rechargeable and dischargeable batteries as the power system, which can reduce the environmental pollution caused by fuel consumption.
In this paper, the fault diagnosis of battery systems in new energy vehicles is reviewed in detail. Firstly, the common failures of lithium-ion batteries are classified, and the triggering mechanism of battery cell failure is briefly analyzed. Next, the existing fault diagnosis methods are described and classified in detail.
To tackle this issue effectively, it is imperative to pierce beyond the superficial causes of lithium-ion battery (LIB) failures—such as equipment malfunctions or physical damage—and to excavate the underlying triggers. This nuanced approach is pivotal to refining EV quality, diminishing fire incidents, and bolstering consumer trust.
Battery failure has traditionally been a major concern for electric vehicle (EV) safety, and early fault diagnosis will reduce many EV safety accidents. However, the short-circuit signal is general...
Based on the voltage data, this paper develops a fault warning algorithm for electric vehicle lithium-ion battery packs based on K-means and the Fréchet algorithm. And the actual collected EV driving data are used to verify.
Lithium-ion batteries are widely used in intelligent devices and electric vehicles due to their high specific energy density, strong endurance and long life . However, globally, electric vehicle accidents caused by battery faults is threatening people’s lives and property.