With the commercialization of electric vehicles (EVs), it is important to accurately predict the remaining lifespan of Li-ion batteries, stable eco-friendly power supply can be ensured. However, it is rare for a vehicle to be driven to the end of the battery warranty life.
Developed a model to predict the remaining life of commercial electric vehicle (EV) batteries by analyzing battery management system data and driving patterns collected from actual vehicle operation. Furthermore, by elaborating the model to reflect various driving patterns, driving conditions, and environment, we continuously improve the prediction performance of the model.
As the lifecycle of Li-ion batteries for EVs being monitored, the model can point out the appropriate timing of battery replacement to sustain vehicle's performance. In addition, the reusability of the replaced batteries can be determined based on their remaining life time (RUL).
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