Huanqing Wang, Kovid Sacheva, J. Tripp, Bo Chen, D. Robinette, M. Shahbakhti
{"title":"Optimal Map-Based Mode Selection and Powertrain Control for a Multi-Mode Plug-in Hybrid Electric Vehicle","authors":"Huanqing Wang, Kovid Sacheva, J. Tripp, Bo Chen, D. Robinette, M. Shahbakhti","doi":"10.1109/MESA.2018.8449157","DOIUrl":null,"url":null,"abstract":"This paper presents an optimal map-based mode selection and powertrain control for a multi-mode plug-in hybrid electric vehicle. The best mode map and best operation maps for powertrain components are generated using Equivalent Consumption Minimization Strategy (ECMS) to minimize equivalent fuel cost at each operating point. The performance of optimal map-based control is compared with production vehicle rule-based control using experimental vehicle data from Argonne National Laboratory (ANL) chassis dynamometer testing.","PeriodicalId":138936,"journal":{"name":"2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MESA.2018.8449157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
This paper presents an optimal map-based mode selection and powertrain control for a multi-mode plug-in hybrid electric vehicle. The best mode map and best operation maps for powertrain components are generated using Equivalent Consumption Minimization Strategy (ECMS) to minimize equivalent fuel cost at each operating point. The performance of optimal map-based control is compared with production vehicle rule-based control using experimental vehicle data from Argonne National Laboratory (ANL) chassis dynamometer testing.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
