A. Sreekanth, K. Srikanth, C. Aditya, T. Satish, R. Ramchandran
{"title":"Deploying common software system for hybrid electric vehicles in AUTOSAR way","authors":"A. Sreekanth, K. Srikanth, C. Aditya, T. Satish, R. Ramchandran","doi":"10.1109/ITEC-INDIA.2017.8333881","DOIUrl":null,"url":null,"abstract":"Hybrid Electric Vehicles with different voltage levels, powertrain structures, and vehicle variants are driving OEMs to develop and maintain multiple software systems including functions like torque assist, regenerative braking, generation and start-stop. Development of such complex software systems includes challenges like reusability, maintenance, variant management, complexity, testability and redundancy of these functions. This situation provides the opportunity for OEMs to explore common software system with acceptable effort, calculable risk and even time-to-market. Furthermore, the OEM has the possibility of being more flexible when selecting suppliers for base software and hardware and reducing dependency of a single system supplier. One of the main goals for the OEM is to improve containment of product/ process complexity, risk in addressing the challenges of complex software system and ensure it is hardware independent for seamless porting into various supplier hardware. Presented in this paper is a creative way of utilizing AUTOSAR with Advanced Software Developing Methods to scale this complex software system and optimize the business trend.","PeriodicalId":312418,"journal":{"name":"2017 IEEE Transportation Electrification Conference (ITEC-India)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Transportation Electrification Conference (ITEC-India)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITEC-INDIA.2017.8333881","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
Hybrid Electric Vehicles with different voltage levels, powertrain structures, and vehicle variants are driving OEMs to develop and maintain multiple software systems including functions like torque assist, regenerative braking, generation and start-stop. Development of such complex software systems includes challenges like reusability, maintenance, variant management, complexity, testability and redundancy of these functions. This situation provides the opportunity for OEMs to explore common software system with acceptable effort, calculable risk and even time-to-market. Furthermore, the OEM has the possibility of being more flexible when selecting suppliers for base software and hardware and reducing dependency of a single system supplier. One of the main goals for the OEM is to improve containment of product/ process complexity, risk in addressing the challenges of complex software system and ensure it is hardware independent for seamless porting into various supplier hardware. Presented in this paper is a creative way of utilizing AUTOSAR with Advanced Software Developing Methods to scale this complex software system and optimize the business trend.