Abstract
The optimization of energy control strategy is one of the key technologies of plug-in hybrid vehicles (PHEVs) to improve the capabilities of energy saving and emission reduction. In order to improve fuel economy of PHEV, adaptive equivalent minimum fuel consumption strategy (A-ECMS) is proposed. Firstly, optimization methods of different energy control strategies are analyzed, and the Pontryagin’s Minimum Principle (PMP) and the equivalent fuel consumption theory are selected to optimize energy control strategy of the PHEV. Secondly, the configuration of PHEV and research objectives of the power control system are determined. Thirdly, the energy control problem is analyzed by the PMP theory, and the improvement measures for the energy control problem are put forward by the equivalent minimum fuel consumption strategy (ECMS). Fourthly, after analyzing the relationship between the equivalent factor and reference SOC, adaptive equivalent minimum fuel consumption strategy (A-ECMS) model is established by MATLAB/Simulink. Finally, combined with Cruise software, the PHEV simulation model is simulated, and the simulation results are analyzed. The results show that compared with the CD/CS energy control strategy, the A-ECMS energy control strategy reduced the 100 km fuel consumption of the vehicle by 7% under three times WLTC driving condition.
Highlights
Compared with the traditional control strategy of HEVs, PHEV has a large power battery page, and can obtain electricity through an external charger.[1]
The parallel P2 configuration of PHEV is chosen as the object of this paper through analyzing the PHEV structures, and the Pontryagin’s Minimum Principle (PMP) is selected as the optimal control algorithm by studying different algorithms
The PHEV optimization control problem is analyzed, and the optimization control objective function of power system is established by combining the PMP theory
Summary
Compared with the traditional control strategy of HEVs, PHEV has a large power battery page, and can obtain electricity through an external charger.[1]. Optimization objects of energy control strategy are various, such as fuel consumption, exhaust emission, and operating cost.[14] In the paper, the minimum fuel consumption of PHEV is selected as the objective function, and power battery pack SOC is chosen as the state variable. ECMS energy control strategy can obtain control effect, which is very close to the optimal global optimization and does not need to predefined driving condition This method can realize real-time control of vehicles. The PMP algorithm can optimize the objective functions of exhaust emission, battery SOC.[24,25] On the premise of the PHEV dynamics, the whole vehicle power system is considered as a complex nonlinear system, and the minimum fuel consumption problem is equivalent to the constrained optimal control problem.
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