Optimal power distribution control for parallel hybrid electric vehicles

IEEE International Conference on Vehicular Electronics and Safety, 2005. Pub Date : 2005-12-27 DOI:10.1109/ICVES.2005.1563618

K. Oh, Jeongmin Kim, Dongho Kim, Do-Young Choi, Hyunsoo Kim

{"title":"Optimal power distribution control for parallel hybrid electric vehicles","authors":"K. Oh, Jeongmin Kim, Dongho Kim, Do-Young Choi, Hyunsoo Kim","doi":"10.1109/ICVES.2005.1563618","DOIUrl":null,"url":null,"abstract":"Optimal power distribution control algorithm is investigated for parallel HEVs. In order to find the optimal control algorithm, optimization problem is defined, which finds the optimal control variables to minimize the fuel consumption while satisfying the constraint equations. Scale factors in weighting the motor usage are selected as the control variables on how to distribute the demanded vehicle power into the electric motor and the internal combustion engine. Dynamic models of the HEV powertrain are represented with state space equations. The optimization problem is solved for the single shaft parallel HEV and double shaft parallel HEV using the HEV performance simulator developed in MATLAB Simulink and the mathematical optimization algorithm, SQP which is based on FORTRAN for multi-variables design optimization. It is found that the optimal control algorithm of the double shaft HEV provides better fuel economy than the single shaft HEV since the recuperation energy due to the regenerative braking can be increased by the engine off and clutch operation.","PeriodicalId":443433,"journal":{"name":"IEEE International Conference on Vehicular Electronics and Safety, 2005.","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Vehicular Electronics and Safety, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVES.2005.1563618","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 11

Abstract

Optimal power distribution control algorithm is investigated for parallel HEVs. In order to find the optimal control algorithm, optimization problem is defined, which finds the optimal control variables to minimize the fuel consumption while satisfying the constraint equations. Scale factors in weighting the motor usage are selected as the control variables on how to distribute the demanded vehicle power into the electric motor and the internal combustion engine. Dynamic models of the HEV powertrain are represented with state space equations. The optimization problem is solved for the single shaft parallel HEV and double shaft parallel HEV using the HEV performance simulator developed in MATLAB Simulink and the mathematical optimization algorithm, SQP which is based on FORTRAN for multi-variables design optimization. It is found that the optimal control algorithm of the double shaft HEV provides better fuel economy than the single shaft HEV since the recuperation energy due to the regenerative braking can be increased by the engine off and clutch operation.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

并联混合动力汽车最优功率分配控制

研究了并联混合动力汽车的最优功率分配控制算法。为了找到最优控制算法，定义了优化问题，即在满足约束方程的情况下，找到最优控制变量，使燃油消耗最小。选择加权电机使用的比例因子作为控制变量，决定如何将所需的车辆功率分配到电动机和内燃机中。混合动力汽车动力系统的动力学模型用状态空间方程表示。利用MATLAB Simulink开发的混合动力汽车性能模拟器和基于FORTRAN的数学优化算法SQP进行多变量设计优化，解决了单轴并联混合动力汽车和双轴并联混合动力汽车的优化问题。研究发现，双轴混合动力汽车的最优控制算法可以通过关闭发动机和离合器操作来增加再生制动所产生的能量，从而比单轴混合动力汽车具有更好的燃油经济性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

IEEE International Conference on Vehicular Electronics and Safety, 2005.

自引率

0.00%

发文量