浙江大学学报(工学版)  2019, Vol. 53 Issue (12): 2271-2279    DOI: 10.3785/j.issn.1008-973X.2019.12.003
 机械与能源工程

1. 江苏大学 汽车工程研究院，江苏 镇江 212013
2. 江苏大学 汽车与交通工程学院，江苏 镇江 212013
3. 奇瑞新能源汽车技术有限公司，安徽 芜湖 241003
Nonlinear predictive control of power split hybrid electric vehicle with optimal system efficiency
De-hua SHI1,2(),Ying-feng CAI1,2,*(),Shao-hua WANG2,Long CHEN1,2,Zhen ZHU1,2,Li-xin GAO3
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
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Abstract:

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.

Key words: hybrid electric system    power split    optimal system efficiency    predictive control    nonlinear programming

 CLC: U 463.2

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#### 引用本文:

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.

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 图 1  功率分流式混合动力构型 表 1  混合动力汽车参数 图 2  动力耦合机构杠杆模型 图 3  当电池温度为25 °C时电池的工作效率 图 4  系统效率最优的预测控制器结构原理 图 5  美国城市驾驶循环（UDDS）工况 图 6  UDDS工况下驾驶员需求转移概率 图 7  不同控制策略下的电池荷电状态变化情况 图 8  不同控制策略下发动机和电机输出功率 图 9  不同控制策略下发动机工作点分布 表 2  UDDS工况下不同初始SOC值时车辆经济性
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