Battery Thermal Management and Health State Assessment of New Energy Vehicles

Abstract

New energy power battery has a high current during fast charging and discharging, producing a huge amount of heat. The rational operation of the battery thermal management system (BTMS) plays an important role in increasing the energy storage capacity and service life of the power battery. This paper explores the battery thermal management and health state assessment of new energy vehicles. For the power battery of new energy vehicles, the fast charging is very likely to cause overheating. By analyzing this phenomenon, we derived a comprehensive control strategy for the charging and discharging of power battery, which optimizes the battery thermal management. Then, the main controlling factors were collaboratively controlled for the thermal management during the fast charging of the power battery of new energy vehicles, and the collaborative control standards and energy consumption laws of the system were discussed in details. After that, the backpropagation neural network (BPNN) was combined with adaptive genetic algorithm (AGA) to establish a nonlinear model between the health state indices and battery capacity of the power battery of new energy vehicles, and the model was applied to estimate the health state of the battery. Finally, the effectiveness of the proposed model was proved through experiments.