{"title":"基于多目标粒子群优化算法的常规燃油车动力总成混合与参数优化设计","authors":"Qingxing Zheng, Shaopeng Tian, Wen Cai","doi":"10.4271/15-15-03-0011","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":29661,"journal":{"name":"SAE International Journal of Passenger Vehicle Systems","volume":" ","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2022-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Powertrain Hybridization and Parameter Optimization Design of a\\n Conventional Fuel Vehicle Based on the Multi-objective Particle Swarm\\n Optimization Algorithm\",\"authors\":\"Qingxing Zheng, Shaopeng Tian, Wen Cai\",\"doi\":\"10.4271/15-15-03-0011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":29661,\"journal\":{\"name\":\"SAE International Journal of Passenger Vehicle Systems\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2022-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SAE International Journal of Passenger Vehicle Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4271/15-15-03-0011\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"TRANSPORTATION SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SAE International Journal of Passenger Vehicle Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4271/15-15-03-0011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Powertrain Hybridization and Parameter Optimization Design of a
Conventional Fuel Vehicle Based on the Multi-objective Particle Swarm
Optimization Algorithm