Technical Paper
Rapid assessment of power battery states for electric vehicles oriented to after-sales maintenance
2024-04-09
2024-01-2201
With the continuous popularization of electric vehicles (EVs), ensuring the best performance of EVs has become a significant concern, and lithium-ion traction batteries are considered as the important storage and conversion equipment for EVs. Therefore, it is of great significance to quickly evaluate the state of traction batteries. This paper investigates a fast state estimation method of traction batteries oriented to after-sales and maintenance. Based on the battery equivalent circuit model and heuristics optimization algorithm, the battery model parameters, including the internal resistance, can be identified using only 30 minutes of charging or discharging process data without full charge or discharge. At the same time, the proposed method can directly estimate the state of charge (SOC) and maximum available capacity of the battery without knowing initial SOC information.