Real-time Optimization Control Strategy of CVT Hybrid Electric Vehicles Considering the Driving Comfort

Li Hangyang; Yang Tongguang; Huang Zhiliang

doi:10.16578/j.issn.1004.2539.2022.12.009

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Real-time Optimization Control Strategy of CVT Hybrid Electric Vehicles Considering the Driving Comfort

Design· Calculation | 更新时间：2023-01-06

- Real-time Optimization Control Strategy of CVT Hybrid Electric Vehicles Considering the Driving Comfort
- Journal of Mechanical Transmission Vol. 46, Issue 12, Pages: 60-66(2022)
- 作者机构：
  
  1.湖南城市学院智慧城市能源感知与边缘计算湖南省重点实验室，湖南益阳 413000
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2022.12.009
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李航洋,阳同光,黄志亮.考虑驾驶舒适性的CVT混合动力汽车实时优化控制策略[J].机械传动,2022,46(12):60-66.

Li Hangyang,Yang Tongguang,Huang Zhiliang.Real-time Optimization Control Strategy of CVT Hybrid Electric Vehicles Considering the Driving Comfort[J].Journal of Mechanical Transmission,2022,46(12):60-66.
李航洋,阳同光,黄志亮.考虑驾驶舒适性的CVT混合动力汽车实时优化控制策略[J].机械传动,2022,46(12):60-66. DOI： 10.16578/j.issn.1004.2539.2022.12.009.

Li Hangyang,Yang Tongguang,Huang Zhiliang.Real-time Optimization Control Strategy of CVT Hybrid Electric Vehicles Considering the Driving Comfort[J].Journal of Mechanical Transmission,2022,46(12):60-66. DOI： 10.16578/j.issn.1004.2539.2022.12.009.

摘要

混合动力汽车能量管理策略会对整车各项基本性能产生重要影响。传统优化控制策略中，通常以燃油消耗最小为单一优化目标，计算结果会使实际控制量异常，进而导致整车驾驶舒适性变差。为解决此类问题，针对搭载无级变速器的混合动力汽车，建立了系统前向仿真模型，提出了一种改进型的自适应等效燃油消耗最小策略，通过惩罚函数对控制量的变化异常进行约束，实现了对燃油经济性和驾驶舒适性的多目标实时优化；在4种标准循环工况下，计算分析了权重因子对目标函数中各项性能指标的影响；为验证控制模型的有效性，在UDDS工况下，与最优ECMS策略进行了对比。仿真结果表明，该方法在实时优化燃油经济性的同时，发动机启停次数、CVT速比变化率和电动油泵能量消耗等目标均得到了极大改善。

Abstract

For hybrid electric vehicles (HEVs), the energy management strategy (EMS) can have a significant impact on the fuel economy and emission reduction. In traditional optimization method-based EMS, if fuel economy is the only criterion in the cost function, the result will lead to irrational control signals, thus resulting in deteriorate drivability performance. To deal with this problem, an improved adaptive equivalent fuel consumption minimization strategy (A-ECMS) is proposed, penalty terms are introduced into the cost function to punish frequent engine start/stop events and excessive speed ratio change. Simulation tests are carried out under four kinds of standard driving cycles. By changing the weighting factors, the trade-off between the fuel economy and performance indexes can be evaluated. Finally, the proposed method is compared with the traditional ECMS under the UDDS cycle. The simulation results show that the proposed strategy not only optimizes the fuel economy, but also greatly improves the objectives of the engine start/stop state, changing rate of CVT speed ratio and electric oil pump energy consumption.

关键词

混合动力汽车无级变速器自适应等效燃油消耗最小驾驶性能惩罚函数

Keywords

Hybrid electric vehicleCVTA-ECMSDrivabilityPenalty function

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