Efficiency Control to Maximize the Powertrain Efficiency for Parallel Hybrid Electric Vehicle
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- 英文论文题名：Efficiency Control to Maximize the Powertrain Efficiency for Parallel Hybrid Electric Vehicle
- 论文作者：Jiangtao Fu ; Shuzhong Songi ; Zhumu Fu ; Jianwei Ma
- 英文论文作者：Jiangtao Fu ; Shuzhong Songi ; Zhumu Fu ; Jianwei Ma ; Henan University of Science and Technology
- 年：2017
- 作者机构：Henan University of Science and Technology;
- 英文论文关键词：Hybrid electric vehicle(HEV) ; Efficiency control ; State of charge(SOC) ; Powertrain efficiency ; Off-line control
- 会议召开时间：2017-07-26
- 会议录名称：第36届中国控制会议论文集（A）
- 英文会议录名称：Proceedings of the 36th Chinese Control Conference（A）
- 语种：英文
- 分类号：U469.72
- 学会代码：KZLL
- 会议名称：第36届中国控制会议
- 会议地点：中国辽宁大连
- 主办单位：中国自动化学会控制理论专业委员会
- 学会名称：中国自动化学会控制理论专业委员会
- 页数：6
- 文件大小：1406k
- 原文格式：D
- 会议级别：全国
摘要
This paper presents a control methodology to maximize the powertrain efficiency in real-time. On the basis of analyzing the switching mode processes, the efficiency of the powertrain under charging and discharging situation is proposed, according to the deep analysis of the efficiency of the internal combustion(ICE) engine and the battery, the expression of the total efficiency is presented. According to the total efficiency formula, an optimal control is designed for the optimal power distribution between the ICE and the battery so that the total efficiency of the powertrain is maximized. The control method can be firstly computed off-line and then can be operated in real-time at a low computation cost. This control strategy is then tested and compared with a most conventional control in a parallel hybrid electric vehicle model, simulation results are presented for two different driving cycles. The results show significant improvements in fuel economy(up to 20%).
This paper presents a control methodology to maximize the powertrain efficiency in real-time. On the basis of analyzing the switching mode processes, the efficiency of the powertrain under charging and discharging situation is proposed, according to the deep analysis of the efficiency of the internal combustion(ICE) engine and the battery, the expression of the total efficiency is presented. According to the total efficiency formula, an optimal control is designed for the optimal power distribution between the ICE and the battery so that the total efficiency of the powertrain is maximized. The control method can be firstly computed off-line and then can be operated in real-time at a low computation cost. This control strategy is then tested and compared with a most conventional control in a parallel hybrid electric vehicle model, simulation results are presented for two different driving cycles. The results show significant improvements in fuel economy(up to 20%).
This paper presents a control methodology to maximize the powertrain efficiency in real-time. On the basis of analyzing the switching mode processes, the efficiency of the powertrain under charging and discharging situation is proposed, according to the deep analysis of the efficiency of the internal combustion(ICE) engine and the battery, the expression of the total efficiency is presented. According to the total efficiency formula, an optimal control is designed for the optimal power distribution between the ICE and the battery so that the total efficiency of the powertrain is maximized. The control method can be firstly computed off-line and then can be operated in real-time at a low computation cost. This control strategy is then tested and compared with a most conventional control in a parallel hybrid electric vehicle model, simulation results are presented for two different driving cycles. The results show significant improvements in fuel economy(up to 20%).
引文
[1].Tanaka N,et al.Technology roadmap:Electric and plug-in hybrid electric vehicles.Tech.Rep.,International Energy Agency;2011.
[2].Cook,J.A.,J.Sun,J.H.Buckland,I.V.Kolmanovsky,H.Peng,and J.W.Grizzle.Automotive power train control–a survey.Asian J.Control,2006;8:237-260
[3].New Automotive Innovation and Growth Team.An independent report on the future of the automotive industry in the UK.London:BERR;2009.
[4].Mosquet X,Devineni M,Mezger T,et al.Powering autos to2020:the era of the electric car.Boston Consult Group 2011.
[5].Hou C,Ouyang M,Xu L,Wang H.Approximate pontryagins minimum principle applied to the energy management of plug-in hybrid electric vehicles.Appl Energy 2014;115:174–89.
[6].Cgatay Bayindir K,Gozukucuk MA,Teke A.A comprehensive overview of hybrid electric vehicle:powertrain configurations,powertrain control techniques and electronic control units.Energy Convers Manage 2011;52:1305–13.
[7].He X,Parten M,Maxwell T.Energy management strategies for a hybrid electric vehicle.In:Vehicle power and propulsion conference(VPPC),2005.p.390–4.
[8].Patil RM,Filipi Z,Fathy HK.Comparison of supervisory control strategies for series plug-in hybrid electric vehicle powertrains through dynamic programming.IEEE Trans Control Syst Technol 2014.
[9].Lin C-C,Peng H,Grizzle JW,Kang J-M.Power management strategy for a parallel hybrid electric truck.IEEE Trans Control Syst Technol 2003;11:839–49.
[10].Kim C,Goong E N,Lee S.Fuel economy optimization for parallel hybrid vehicle with CVT[J].SAE paper,1999-01-1148:337
[11].Tremblay O,Dessaint LA.Experimental validation of a battery dynamic model for EV applications.World Electr Veh J 2009;3:1 10.
[12].J.Gao,F.Sun,H.He,G.Zhu,E.Strangas,A comparative study of supervisory control strategies for a series hybrid electric vehicle.In:Asia-Pacific power andenergy engineering conference(APPEEC),2009.p.1 7.
[2].Cook,J.A.,J.Sun,J.H.Buckland,I.V.Kolmanovsky,H.Peng,and J.W.Grizzle.Automotive power train control–a survey.Asian J.Control,2006;8:237-260
[3].New Automotive Innovation and Growth Team.An independent report on the future of the automotive industry in the UK.London:BERR;2009.
[4].Mosquet X,Devineni M,Mezger T,et al.Powering autos to2020:the era of the electric car.Boston Consult Group 2011.
[5].Hou C,Ouyang M,Xu L,Wang H.Approximate pontryagins minimum principle applied to the energy management of plug-in hybrid electric vehicles.Appl Energy 2014;115:174–89.
[6].Cgatay Bayindir K,Gozukucuk MA,Teke A.A comprehensive overview of hybrid electric vehicle:powertrain configurations,powertrain control techniques and electronic control units.Energy Convers Manage 2011;52:1305–13.
[7].He X,Parten M,Maxwell T.Energy management strategies for a hybrid electric vehicle.In:Vehicle power and propulsion conference(VPPC),2005.p.390–4.
[8].Patil RM,Filipi Z,Fathy HK.Comparison of supervisory control strategies for series plug-in hybrid electric vehicle powertrains through dynamic programming.IEEE Trans Control Syst Technol 2014.
[9].Lin C-C,Peng H,Grizzle JW,Kang J-M.Power management strategy for a parallel hybrid electric truck.IEEE Trans Control Syst Technol 2003;11:839–49.
[10].Kim C,Goong E N,Lee S.Fuel economy optimization for parallel hybrid vehicle with CVT[J].SAE paper,1999-01-1148:337
[11].Tremblay O,Dessaint LA.Experimental validation of a battery dynamic model for EV applications.World Electr Veh J 2009;3:1 10.
[12].J.Gao,F.Sun,H.He,G.Zhu,E.Strangas,A comparative study of supervisory control strategies for a series hybrid electric vehicle.In:Asia-Pacific power andenergy engineering conference(APPEEC),2009.p.1 7.