{"title":"Energy Management Optimization Based on Aging Adaptive Functional State Model of Battery for Internal Combustion Engine Vehicles","authors":"Weiwei Kong, Tianmao Cai, Yugong Luo, Xiaomin Lian, Fachao Jiang","doi":"10.1007/s42154-022-00204-1","DOIUrl":null,"url":null,"abstract":"<div><p>This paper presents an energy management optimization system based on an adaptive functional state model of battery aging for internal combustion engine vehicles (ICEVs). First, the functional characteristics of batteries in ICEVs are investigated. Then, an adaptive functional state model is proposed to represent battery aging throughout the entire battery service life. A battery protection scheme is developed, including over-discharge and graded over-current protection to improve battery safety. A model-based energy management strategy is synthesized to comprehensively optimize fuel economy, battery life preservation, and vehicle performance. The performance of the proposed scheme was examined under comprehensive test scenarios based on field and bench tests. The results show that the proposed energy management algorithm can effectively improve fuel economy.</p></div>","PeriodicalId":36310,"journal":{"name":"Automotive Innovation","volume":"6 1","pages":"62 - 75"},"PeriodicalIF":4.8000,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automotive Innovation","FirstCategoryId":"1087","ListUrlMain":"https://link.springer.com/article/10.1007/s42154-022-00204-1","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents an energy management optimization system based on an adaptive functional state model of battery aging for internal combustion engine vehicles (ICEVs). First, the functional characteristics of batteries in ICEVs are investigated. Then, an adaptive functional state model is proposed to represent battery aging throughout the entire battery service life. A battery protection scheme is developed, including over-discharge and graded over-current protection to improve battery safety. A model-based energy management strategy is synthesized to comprehensively optimize fuel economy, battery life preservation, and vehicle performance. The performance of the proposed scheme was examined under comprehensive test scenarios based on field and bench tests. The results show that the proposed energy management algorithm can effectively improve fuel economy.
期刊介绍：
Automotive Innovation is dedicated to the publication of innovative findings in the automotive field as well as other related disciplines, covering the principles, methodologies, theoretical studies, experimental studies, product engineering and engineering application. The main topics include but are not limited to: energy-saving, electrification, intelligent and connected, new energy vehicle, safety and lightweight technologies. The journal presents the latest trend and advances of automotive technology.
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
