The plug-in hybrid electric vehicle (PHEV) is considered the optimal transition solution from gasoline-powered cars to pure electric vehicles. Given that the core of hybrid vehicles lies in the Energy Management System (EMS), it becomes crucial to explore a robust and adaptable EMS. This study focuses on the existing plug-in 3-DHT hybrid four-wheel-drive vehicle (4WD-PHEV). Initially, addressing the front/rear axle torque distribution issue, an optimal working curve is derived based on the efficiency characteristics of the rear-drive motor, integrating driver intent to achieve coordinated torque distribution between the front and rear axles. Subsequently, targeting the multiple gear shift issue in the front axle 3-DHT, a shift logic is formulated using vehicle speed and driver throttle pedal signals as decision variables, validated through simulation in the Charge Depletion (CD) mode. Moreover, for the front axle’s multi-source energy allocation problem, a Fuzzy Logic Control (FLC) strategy is devised. To further enhance optimization, a FLC-PMP dual-layer optimization control strategy is proposed by introducing the Pontryagin’s Minimum Principle (PMP) algorithm based on the FLC strategy. Finally, employing AVL-CRUISE and Matlab/Simulink software, an integrated vehicle model and control strategy model are developed, and their simulations are compared. Comparative analysis against rule-based (RB) strategies reveals that, in the CD mode, the formulated shift logic is validated. Moreover, under similar driving cycles (6×WLTC), the fuel economy of FLC-PMP and FLC strategies is respectively improved by 3.73% and 6.36%.
Wang et al. (Sun,) studied this question.