Multi‐Object Optimization of Battery Management for Electric Vehicle Platooning Considering Energy Consumption and Battery Health

ABSTRACT It is a critical problem to improve battery energy management for electric vehicle platooning systems. Moreover, different from internal combustion engine vehicles, regenerating braking is widely used to recover part of the energy in the electric vehicle when it is braking. This paper presents the optimization method of battery energy management for electric vehicle platooning with regenerating braking. By investigating the force analysis of platooning and the battery model, a new optimization strategy is presented to minimize the cost of the battery for both charging and maintaining. The cost of the battery is not only related to the state of charge (SoC) but also concerned with the state of health (SoH) due to the battery aging phenomenon. Thus, a new cost function concerned with SoC and SoH consumption is presented. Further, the optimization problem is addressed by the dynamic programming method combined with the successive convex approximation method. Finally, it is discussed how to choose the trade‐off weights to adapt to different actual situations, and simulation results are provided to verify the effectiveness and advantages of the proposed methods.