Energy management strategy for tracked vehicles considering battery loss and heat dissipation

In view of the high power, high heat production and high heat dissipation of the auxiliary system of hybrid tracked vehicles, the conventional energy management strategy does not consider the battery loss cost and heat dissipation of the auxiliary system. In this paper, an energy management control strategy based on particle swarm optimization is proposed by introducing battery loss cost and heat dissipation demand power. Firstly, the battery model and auxiliary system heat dissipation model are constructed, and the energy management strategy is formulated by particle swarm optimization algorithm. The influence of battery loss cost and auxiliary system heat dissipation on the energy management strategy of hybrid tracked vehicles is studied, and an energy management control strategy for mode switching according to driving requirements is established according to the optimization results of particle swarm optimization algorithm. The results show that the PSO optimization results considering battery loss and auxiliary system heat dissipation are more in line with the use scenario of hybrid tracked vehicles, and the energy consumption and economy increase by 5.5% compared with the PSO optimization results which do not consider both.