{"title":"Optimization Based Methodology for Hybrid Electric Vehicle Dedicated Internal Combustion Engine Design","authors":"X. Huin, M. D. Loreto, E. Bideaux, H. Benzaoui","doi":"10.1109/CoDIT49905.2020.9263821","DOIUrl":null,"url":null,"abstract":"This paper introduces a novel methodology for the design and sizing of the internal combustion engines (ICE) of hybrid electric vehicles (HEVs) for heavy duty application. A mathematical modeling of a reference engine static efficiency and maximum torque is chosen from the literature and then parametric transformations are performed to explore alternative engine designs. A coupled optimization problem is formulated as a bi-level form with powertrain optimal energy management in the inner loop and exhaustive evaluation of ICE designs in the outer loop. The results show potential fuel reduction of 1.7% on long-haul delivery cycle and offer specifications for further detailed engine development.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CoDIT49905.2020.9263821","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper introduces a novel methodology for the design and sizing of the internal combustion engines (ICE) of hybrid electric vehicles (HEVs) for heavy duty application. A mathematical modeling of a reference engine static efficiency and maximum torque is chosen from the literature and then parametric transformations are performed to explore alternative engine designs. A coupled optimization problem is formulated as a bi-level form with powertrain optimal energy management in the inner loop and exhaustive evaluation of ICE designs in the outer loop. The results show potential fuel reduction of 1.7% on long-haul delivery cycle and offer specifications for further detailed engine development.