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| | Shengyan Hou1,2,Hong Chen2,et al.[en_title][J].Control Theory and Technology,2022,20(2):185~196.[Copy] |
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| Speed planning and energymanagement strategy of hybrid electric vehicles in a car-following scenario |
| ShengyanHou1,2,HongChen2,3,YuZhang4,JinwuGao1,2 |
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| (1 State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, Jilin, China
2 Department of Control Science and Engineering, Jilin University, Changchun 130025, Jilin, China;3 Department of Control Science and Engineering, Tongji University, Shanghai 200092, China;4 Suzhou Zhito Technology Co., Ltd., Suzhou 215129, Jiangsu, China) |
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| 摘要: |
| The development of intelligent connected technology has brought opportunities and challenges to the design of energy
management strategies for hybrid electric vehicles. First, to achieve car-following in a connected environment while reducing
vehicle fuel consumption, a power split hybrid electric vehicle was used as the research object, and a mathematical model
including engine, motor, generator, battery and vehicle longitudinal dynamics is established. Second, with the goal of vehicle
energy saving, a layered optimization framework for hybrid electric vehicles in a networked environment is proposed. The
speed planning problem is established in the upper-level controller, and the optimized speed of the vehicle is obtained and
input to the lower-level controller. Furthermore, after the lower-level controller reaches the optimized speed, it distributes the
torque among the energy sources of the hybrid electric vehicle based on the equivalent consumption minimum strategy. The
simulation results show that the proposed layered control framework can achieve good car-following performance and obtain
good fuel economy. |
| 关键词: Hybrid electric vehicle · Car-following · Speed planning · Energy management strategy |
| DOI：https://doi.org/10.1007/s11768-022-00088-w |
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| 基金项目:This work was supported by the National Natural Science Foundation of China (Grant No. 62111530196), and the Technology Development Program of Jilin Province (Grant No.20200501010G X). |
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| Speed planning and energymanagement strategy of hybrid electric vehicles in a car-following scenario |
| Shengyan Hou1,2,Hong Chen2,3,Yu Zhang4,Jinwu Gao1,2 |
| (1 State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, Jilin, China
2 Department of Control Science and Engineering, Jilin University, Changchun 130025, Jilin, China;3 Department of Control Science and Engineering, Tongji University, Shanghai 200092, China;4 Suzhou Zhito Technology Co., Ltd., Suzhou 215129, Jiangsu, China) |
| Abstract: |
| The development of intelligent connected technology has brought opportunities and challenges to the design of energy
management strategies for hybrid electric vehicles. First, to achieve car-following in a connected environment while reducing
vehicle fuel consumption, a power split hybrid electric vehicle was used as the research object, and a mathematical model
including engine, motor, generator, battery and vehicle longitudinal dynamics is established. Second, with the goal of vehicle
energy saving, a layered optimization framework for hybrid electric vehicles in a networked environment is proposed. The
speed planning problem is established in the upper-level controller, and the optimized speed of the vehicle is obtained and
input to the lower-level controller. Furthermore, after the lower-level controller reaches the optimized speed, it distributes the
torque among the energy sources of the hybrid electric vehicle based on the equivalent consumption minimum strategy. The
simulation results show that the proposed layered control framework can achieve good car-following performance and obtain
good fuel economy. |
| Key words: Hybrid electric vehicle · Car-following · Speed planning · Energy management strategy |
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