Research on charging strategy of electric truck considering charging duration, energy loss, and temperature change

Abstract

The research on charging strategy is a key research direction in the field of electric trucks. This paper establishes an electric-thermal-energy consumption coupling charging model for the power battery of electric trucks. A multi-stage constant current charging (MSCC) strategy based on genetic algorithm is developed. In order to verify the feasibility of the developed MSCC strategy, a comparative study with the traditional constant current charging (CC) strategy was conducted. The simulation results show that under the same charging time (3600 s), compared with the CC strategy, the MSCC strategy reduces the charging energy consumption by 3.78 J and the battery temperature change by 0.69 °C. Furthermore, in order to meet the charging requirements of different scenarios, the MSCC strategy is divided into three charging modes: economic mode, safe mode, and balanced mode. Compared with the CC strategy, the energy loss of the MSCC strategy in the economic mode reduces by 9.55 J, and the economic mode significantly improves the energy saving effect. Compared with the CC strategy, the battery temperature change of the MSCC strategy in the safe mode reduces by 0.82 °C, and the safe mode significantly improves the inhibitory effect of temperature rise during battery charging.