并联式PHEV模糊控制策略研究
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摘要
针对并联式PHEV两个动力源之间合理分配能量的问题,设计了一种基于理论SOC参考轨迹的模糊控制策略,并研究了预设行驶里程的准确性对该控制策略控制效果的影响。该模糊控制策略以提高PHEV的燃油经济性为目标,在准确预设行驶里程的情况下充分发挥PHEV大容量电池的优势。使用ADVISOR对该控制策略进行仿真验证。结果表明:设计的模糊控制策略在准确预设行驶里程的情况下能够达到最佳的控制效果,与传统的电辅助控制策略相比,有效提高了车辆的燃油经济性。当预设行驶里程不准确时,燃油经济性会变差,但仍优于传统的电辅助控制策略。
Aiming at the problem of reasonable allocation of energy between the two power sources of parallel PHEV,a fuzzy control strategy based on the theoretical SOC reference trajectory is designed,and the influence of the accuracy of the preset mileage on the control effect of the control strategy is studied. The fuzzy control strategy aims at improving the fuel economy of PHEV. In the case of the accurate preset mileage,it can give full play to the advantages of PHEV's high-capacity battery.The control strategy is verified by ADVISOR. The results of the simulation show that the designed fuzzy control strategy can achieve the best control effect under the condition of accurate preset mileage,and improve the fuel economy of the vehicle compared with the traditional electric assist control strategy. When the preset mileage is not accurate,the fuel economy will be worse,but still better than the traditional electric assist control strategy.
Aiming at the problem of reasonable allocation of energy between the two power sources of parallel PHEV,a fuzzy control strategy based on the theoretical SOC reference trajectory is designed,and the influence of the accuracy of the preset mileage on the control effect of the control strategy is studied. The fuzzy control strategy aims at improving the fuel economy of PHEV. In the case of the accurate preset mileage,it can give full play to the advantages of PHEV's high-capacity battery.The control strategy is verified by ADVISOR. The results of the simulation show that the designed fuzzy control strategy can achieve the best control effect under the condition of accurate preset mileage,and improve the fuel economy of the vehicle compared with the traditional electric assist control strategy. When the preset mileage is not accurate,the fuel economy will be worse,but still better than the traditional electric assist control strategy.
引文
[1]秦大同,杨官龙,刘永刚.插电式混合动力汽车能耗优化控制策略的研究[J].汽车工程,2015,37(12):1366-1370.(Qin Da-tong,Yang Guan-long,Liu Yong-gang.A research on energyconsumption optimization control strategy for plug-in hybrid electric ve-hicle[J].Automotive Engineering,2015,37(12):1366-1370.)
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[4]Guo Jian-hua,Chu Liang,Zhang Yong-sheng.Optimal torque distributi-on strategy of hybrid electric bus based on instantaneous optimization[C].Third International Conference on Information Science&Technology.Piscataway,NJ:IEEE,2013:226-229.
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[7]韩立金,李宏才,韩全福.功率分流混合动力车辆模糊控制策略设计与仿真[J].机械设计与制造,2011(7):4-6.(Han Li-jin,Li Hong-cai,Han Quan-fu.Study and optimization on fuzzycontrol strategy for power distributing HEV[J].Machinery Design&Man-ufacture,2011(7):4-6.)
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[9]王旭.并联式混合动力汽车模糊控制策略的仿真与优化设计[D].太原:太原科技大学,2014.(Wang Xu.Simulation and optimization design of fuzzy control strategyfor parallel hybrid electric vehicle[D].Taiyuan:Taiyuan University of Sc-ience and Technology,2014.)
[10]Yang Cheng-hong,Li Jun,Sun Wei.Study on global optimization of plug-in hybrid electric vehicle energy management strategies[C].Power and En-ergy Engineering Conference.Piscataway,NJ:IEEE,2010:1-5.
[11]Li Liang,Yang Chao,Zhang Ya-hui.Correctional DP-Based energy ma-nagement strategy of plug-in hybrid electric bus for city-bus route[J].IEEE Transactions on Vehicular Technology,2015,64(7):2792-2803.
[12]舒红,聂天雄,邓丽君.插电式并联混合动力汽车模型预测控制[J].重庆大学学报,2011,34(5):36-41.(Shu Hong,Nie Tian-xiong,Deng Li-jun.Model predictive control for aplug-in hybrid electric vehicle[J].Journal of Chongqing University,2011,34(5):36-41.)
[2]Bayindir Kamil-Cagatay,Gozükücük Mehmet-Ali,Teke Ahmet.A comp-rehensive overview of hybrid electric vehicle:powertrain configurations,powertrain control techniques and electronic control units[J].Energy Co-nversion&Management,2011,52(2):1305-1313.
[3]Chen Ze-yu,Xiong Rui,Cao Jia-yi.Particle swarm optimization-basedoptimal power management of plug-in hybrid electric vehicles conside-ring uncertain driving conditions[J].Energy,2016(96):197-208.
[4]Guo Jian-hua,Chu Liang,Zhang Yong-sheng.Optimal torque distributi-on strategy of hybrid electric bus based on instantaneous optimization[C].Third International Conference on Information Science&Technology.Piscataway,NJ:IEEE,2013:226-229.
[5]Padmarajan Brahmadevan,Mcgordon Andrew,Jennings Paul.Blended rulebased energy management for PHEV:system structure and strategy[J].IEEE Transactions on Vehicular Technology,2016,65(10):8757-8762.
[6]Chen Ze-yu,Xiong Rui,Wang Chun.An on-line predictive energy man-agement strategy for plug-in hybrid electric vehicles to counter the un-certain prediction of the driving cycle[J].Applied Energy,2017(185):1663-1672.
[7]韩立金,李宏才,韩全福.功率分流混合动力车辆模糊控制策略设计与仿真[J].机械设计与制造,2011(7):4-6.(Han Li-jin,Li Hong-cai,Han Quan-fu.Study and optimization on fuzzycontrol strategy for power distributing HEV[J].Machinery Design&Man-ufacture,2011(7):4-6.)
[8]吕志梁.插电式混合动力汽车能量管理研究[D].杭州:浙江大学,2014.(Lu Zhi-liang.Research on power management of PHEV[D].Hangzhou:Zhejiang University,2014.)
[9]王旭.并联式混合动力汽车模糊控制策略的仿真与优化设计[D].太原:太原科技大学,2014.(Wang Xu.Simulation and optimization design of fuzzy control strategyfor parallel hybrid electric vehicle[D].Taiyuan:Taiyuan University of Sc-ience and Technology,2014.)
[10]Yang Cheng-hong,Li Jun,Sun Wei.Study on global optimization of plug-in hybrid electric vehicle energy management strategies[C].Power and En-ergy Engineering Conference.Piscataway,NJ:IEEE,2010:1-5.
[11]Li Liang,Yang Chao,Zhang Ya-hui.Correctional DP-Based energy ma-nagement strategy of plug-in hybrid electric bus for city-bus route[J].IEEE Transactions on Vehicular Technology,2015,64(7):2792-2803.
[12]舒红,聂天雄,邓丽君.插电式并联混合动力汽车模型预测控制[J].重庆大学学报,2011,34(5):36-41.(Shu Hong,Nie Tian-xiong,Deng Li-jun.Model predictive control for aplug-in hybrid electric vehicle[J].Journal of Chongqing University,2011,34(5):36-41.)
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