1. Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China 2. School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China 3. Chery New Energy Co. Ltd, Wuhu 241003, China
A dynamical model of the power split powertrain was established to accurately describe the torque and speed coupling relations within the system, aiming at a novel power split hybrid electric vehicle (HEV) with dual planetary gear sets. By means of building the efficiency model of different components, the system operation efficiency under different modes was analyzed. Then, the control framework of the proposed vehicle was designed, and the optimal control problem based on model predictive control scheme was constructed. The one-step Markov chain model was applied to predict the required driver torque and vehicle velocity. The optimal problem in the prediction horizon was converted to nonlinear programming problem, and sequential quadratic programming (SQP) was applied to derive the optimal control sequence. Simulation results demonstrate that the proposed strategy can maintain the battery charging sustainability. When the initial battery state of charge (SOC) is 0.50, 0.55 and 0.60, respectively, compared with the nonlinear predictive control with the engine fuel consumption as objective, the vehicle equivalent fuel economy is improved by 7.17%、5.73% and 10.11%, respectively, with the proposed strategy under urban dynamometer driving schedule (UDDS). Thus, the feasibility and superiority of the controller are validated.
De-hua SHI,Ying-feng CAI,Shao-hua WANG,Long CHEN,Zhen ZHU,Li-xin GAO. Nonlinear predictive control of power split hybrid electric vehicle with optimal system efficiency. Journal of ZheJiang University (Engineering Science), 2019, 53(12): 2271-2279.
Fig.6Transition probability of required driver torque under UDDS cycle
Fig.7Variation of battery SOC with different control strategies
Fig.8Output power of the engine and electric machines with different control strategies
Fig.9Distribution of engine operation points with different control strategies
socini
控制策略
socfin
mf / L
mequ / L
λimp/%
0.50
油耗最优
0.545
3.00
3.21
7.17
效率最优
0.556
3.23
2.98
0.55
油耗最优
0.550
2.79
2.79
5.73
效率最优
0.557
2.92
2.63
0.60
油耗最优
0.545
2.46
2.67
10.11
效率最优
0.556
2.70
2.40
Tab.2Fuel economy of the vehicle for different initial SOC values under UDDS
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