{"title":"Optimization of Li-ion modelling for automotive application: comparison of optimization methods performances","authors":"A. Meddour, N. Rizoug, A. Babin, Laid Degaa","doi":"10.1109/CoDIT49905.2020.9263841","DOIUrl":null,"url":null,"abstract":"The embedded storage system is the principal part in the electric vehicle. The vehicle's autonomy and price influence depend on the chosen source technology. For that, we must optimize the sizing and the ageing of the storage system using heavy-duty models. These last ones must take into account the battery behavior and the system cost. The development of an accurate multi-physical lithium battery model can be an extremely time-consuming process because of the complexity of the battery electrochemical phenomena that could occur during an automotive application. In this paper, we will start by introducing the proposed dynamic battery model, and submit the possibility of building an accurate dynamic design while highlighting the key objective of our study, which is the optimization algorithms performances comparison in terms of precision and computing time.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"135 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/CoDIT49905.2020.9263841","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
The embedded storage system is the principal part in the electric vehicle. The vehicle's autonomy and price influence depend on the chosen source technology. For that, we must optimize the sizing and the ageing of the storage system using heavy-duty models. These last ones must take into account the battery behavior and the system cost. The development of an accurate multi-physical lithium battery model can be an extremely time-consuming process because of the complexity of the battery electrochemical phenomena that could occur during an automotive application. In this paper, we will start by introducing the proposed dynamic battery model, and submit the possibility of building an accurate dynamic design while highlighting the key objective of our study, which is the optimization algorithms performances comparison in terms of precision and computing time.