| 基于增益功率燃油系数的HEV能量管理策略 |
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| 引用本文： | 程云江,梁颖华,徐向阳,董鹏,王书翰,刘艳芳,刘献栋.基于增益功率燃油系数的HEV能量管理策略[J].中国公路学报,2022,35(4):343-352. |
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| 作者姓名： | 程云江 梁颖华 徐向阳 董鹏 王书翰 刘艳芳 刘献栋 |
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| 作者单位： | 1. 北京航空航天大学 交通科学与工程学院, 北京 100191;2. 北京航空航天大学 宁波创新研究院, 浙江 宁波 315323 |
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| 基金项目： | 国家重点研发计划项目(2018YFB0105900);山东省重大科技创新工程项目(2019JZZY010913);广西科技重大专项项目(AA19254013);宁波市"科技创新2025"重大专项项目(2020Z026,2020Z027,2020Z028);浙江省重点研发计划项目(2021C01140) |
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| 摘 要： | 为了优化等效燃油最小能量管理策略的节油效果，以适用于工程批量应用为导向，制定基于增益功率燃油系数的混合动力汽车(HEV)能量管理策略。基于瞬时优化原理，提出基于增益功率燃油系数的工作模式决策机制，根据电机发电或电动引起的发动机功率与燃油消耗率的变化关系，分别给出电机充电和放电模式下增益功率燃油系数的计算方法。考虑发动机扭矩瞬态快速变化对油耗的影响和电机及电池包充放电效率特性，提出发动机高效区域扭矩滞回控制方法，建立基于增益功率燃油系数的能量管理策略算法架构。基于MATLAB/Simulink搭建控制策略软件模型，通过转鼓试验台进行实车试验验证。研究结果表明：相对于等效燃油最小能量管理策略，基于增益功率燃油系数的能量管理策略提升了节油率和舒适性，在全球轻型汽车测试循环(WLTC)工况下的百公里油耗降低了约4.8%，发动机的启停次数降低了约53%；相对于有效燃油消耗率(BSFC)最优工作点控制方法，发动机高效区域滞回控制方法降低百公里油耗约1.8%；与采用基于动态规划的全局优化能量管理策略的仿真结果对比，在不能提前预知工况的条件下，制定的能量管理策略在WLTC工况与新标欧洲测试循环(NEDC)工况下的油耗与理论最优值差距均较小。
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| 关 键 词： | 汽车工程 能量管理策略 增益功率燃油系数 混合动力汽车 瞬时优化 |
| 收稿时间： | 2020-06-13 |
Energy Management Strategy of HEV Based on Power-gain and Fuel-consumption Coefficients |
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| CHENG Yun-jiang,LIANG Ying-hua,XU Xiang-yang,DONG Peng,WANG Shu-han,LIU Yan-fang,LIU Xian-dong.Energy Management Strategy of HEV Based on Power-gain and Fuel-consumption Coefficients[J].China Journal of Highway and Transport,2022,35(4):343-352. |
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| Authors: | CHENG Yun-jiang LIANG Ying-hua XU Xiang-yang DONG Peng WANG Shu-han LIU Yan-fang LIU Xian-dong |
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| Affiliation: | 1. School of Transportation Science and Engineering, Beihang University, Beijing 100191, China;2. Ningbo Institute of Technology (NIT), Beihang University, Ningbo 315323, Zhejiang, China |
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| Abstract: | To improve the fuel consumption of the equivalent consumption minimization strategy and render it suitable for use in mass-production vehicles, a hybrid electric vehicle (HEV) energy management strategy was developed based on the power-gain and fuel-consumption coefficients. Building on the principle of instantaneous optimization, a hybrid mode decision-making mechanism was established. According to the changes in engine power and fuel consumption as a result of the motor switching between the charging and discharging modes, methods to calculate the charging and discharging coefficients of power-gain and fuel-consumption were created respectively. Considering the impact of rapid engine torque changes on fuel consumption and the charging or discharging efficiency characteristics of motors and battery packs, an efficient regional hysteresis control method for the engine torque was developed. Finally, an energy management strategy algorithm architecture based on the power-gain and fuel-consumption coefficients was established. The software model was built on MATLAB/Simulink, and the strategies were verified using a hybrid vehicle on the drum test bench. The results show an improvement in the fuel economy and ride comfort. The fuel economy exhibits an approximately 4.8% improvement and the engine start-stop times are reduced by 53% compared to the equivalent consumption minimization strategy under the conditions of the worldwide harmonized light vehicle test cycle (WLTC). The proposed regional hysteresis control method reduces fuel consumption by approximately 1.8% compared with the brake specific fuel consumption (BSFC) method. Compared with the simulation results obtained using the dynamic programming under the conditions of both WLTC and the new European driving cycle (NEDC), the fuel consumption of the proposed strategy is close to the theoretical optimal values. |
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| Keywords: | automotive engineering energy management strategy gain-power and fuel consumption coefficient hybrid electric vehicle instantaneous optimization |
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