A. Bolzoni, A. L. Bella, D. Moschetta, Giulia Musacci, G. Gruosso, G. S. Gajani, Marco Aimo Boot, L. Bellini, A. Canepa, D. Cardella, Valentino Peluso, P. Guglielmi
{"title":"Object based modelling of hybrid electrical vehicle and power management control","authors":"A. Bolzoni, A. L. Bella, D. Moschetta, Giulia Musacci, G. Gruosso, G. S. Gajani, Marco Aimo Boot, L. Bellini, A. Canepa, D. Cardella, Valentino Peluso, P. Guglielmi","doi":"10.1109/RTSI.2015.7325153","DOIUrl":null,"url":null,"abstract":"Simulation of prototype vehicle architectures is an indispensable step for the development of new transport solutions innovative for what concerns energy efficiency and user customization. In this paper, a simulation framework based on the Modelica language is presented and included as an important tool in the phase of preliminary design of a light duty hybrid electric vehicle. The proposed framework will also be used to analyse the power management on the vehicle implementing different control logics, with particular interest for the hybrid configuration. In this analysis many parameters have been investigated, considering both standard state of the vehicle data, but also additional factors describing the external environment. In order to evaluate the performance of the whole vehicle in different operating conditions, the model has been simulated over several driving cycles, representing mission data specific of the average light duty vehicle user. The project has been developed with the partnership of Iveco CNH Industrial, a vehicle manufacturing company.","PeriodicalId":187166,"journal":{"name":"2015 IEEE 1st International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 1st International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTSI.2015.7325153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Simulation of prototype vehicle architectures is an indispensable step for the development of new transport solutions innovative for what concerns energy efficiency and user customization. In this paper, a simulation framework based on the Modelica language is presented and included as an important tool in the phase of preliminary design of a light duty hybrid electric vehicle. The proposed framework will also be used to analyse the power management on the vehicle implementing different control logics, with particular interest for the hybrid configuration. In this analysis many parameters have been investigated, considering both standard state of the vehicle data, but also additional factors describing the external environment. In order to evaluate the performance of the whole vehicle in different operating conditions, the model has been simulated over several driving cycles, representing mission data specific of the average light duty vehicle user. The project has been developed with the partnership of Iveco CNH Industrial, a vehicle manufacturing company.