Optimal Energy Management of a Dual-motor Electric Vehicle using Dynamic Programming

Energy management for the dual-motor all-wheel drive (AWD) electric vehicles (EV) is a trendy topic. The objective of this study is to develop a strategy that transfers the traction forces between two electric motors installed at the front and rear axles in order to reduce battery usage as much as possible. This paper takes the advantages of dynamic programming (DP) to obtain the global optimal results for this challenge. The discrete-time system model is firstly deduced by a backward formalism method, then DP computation is applied based on a Matlab toolbox. With the proposed strategy, the remaining battery state of charge under the New European Driving Cycle (NEDC) is up to 85.25% while satisfying all system constraints. The proposed solution can be the benchmark for other researchers to develop their energy management strategies for the mentioned kind of EV.