State Key Laboratory of Automotive Simulation and Control, Jilin University, No. 5988, Renmin Street, Nanguan District, Changchun 130022, China.
Department of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire LE11 3TU, UK.
Sensors (Basel). 2022 Dec 7;22(24):9597. doi: 10.3390/s22249597.
Energy management strategies are vitally important to give full play to the energy-saving of the four-wheel drive electric vehicle (4WD EV). The cooperative output of multi-power components is involved in the process of driving and braking energy recovery of 4WD EV. This paper proposes a novel energy management strategy of dual equivalent consumption minimization strategy (D-ECMS) to improve the economy of the vehicle. According to the different driving and braking states of the vehicle, D-ECMS can realize the proportional control of the energy cooperative output among the multi-power components. Under the premise of satisfying the dynamic performance of the vehicle, the operating points of the power components are distributed more in the high-efficiency range, and the economy and driving range of the vehicle are optimized. In order to achieve the effectiveness of D-ECMS, MATLAB/Simulink is used to realize the simulation of the vehicle. Compared with the rule-based strategy, the economy of D-ECMS increased by 4.35%.
能量管理策略对于充分发挥四轮驱动电动汽车(4WD EV)的节能效果至关重要。多动力部件的协同输出涉及到 4WD EV 的驱动和制动能量回收过程。本文提出了一种新的双等效能耗最小化策略(D-ECMS)的能量管理策略,以提高车辆的经济性。根据车辆的不同行驶和制动状态,D-ECMS 可以实现多动力部件之间能量协同输出的比例控制。在满足车辆动力性能的前提下,动力部件的工作点更多地分布在高效区域,优化了车辆的经济性和行驶里程。为了实现 D-ECMS 的有效性,使用 MATLAB/Simulink 实现了车辆的仿真。与基于规则的策略相比,D-ECMS 的经济性提高了 4.35%。