{"title":"通过两种不同优化策略对混合动力液压传动系统燃油经济性的提高进行比较研究","authors":"Bedatri Moulik, Anupama Prakash, A. Ganguly","doi":"10.1109/Confluence47617.2020.9057867","DOIUrl":null,"url":null,"abstract":"This contribution investigates two different power management optimization techniques to optimally split the power between the engine and accumulator of a parallel hybrid hydraulic vehicle (HHV). The goal is to operate the engine at its most efficient region, keep the accumulator charge within bounds, and reduce the fuel consumption while maintaining the vehicle performance. After deriving the mathematical model of the HHV, a local optimization technique is used to solve the problem in each time step for an urban European drive cycle. Then for the same cycle, the results are compared with a global optimization technique. The global optimization shows a distinct improvement in terms of fuel consumption.","PeriodicalId":180005,"journal":{"name":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improvement in fuel economy of hybrid hydraulic powertrain by conducting a comparative study of two different optimization strategies\",\"authors\":\"Bedatri Moulik, Anupama Prakash, A. Ganguly\",\"doi\":\"10.1109/Confluence47617.2020.9057867\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This contribution investigates two different power management optimization techniques to optimally split the power between the engine and accumulator of a parallel hybrid hydraulic vehicle (HHV). The goal is to operate the engine at its most efficient region, keep the accumulator charge within bounds, and reduce the fuel consumption while maintaining the vehicle performance. After deriving the mathematical model of the HHV, a local optimization technique is used to solve the problem in each time step for an urban European drive cycle. Then for the same cycle, the results are compared with a global optimization technique. The global optimization shows a distinct improvement in terms of fuel consumption.\",\"PeriodicalId\":180005,\"journal\":{\"name\":\"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/Confluence47617.2020.9057867\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Confluence47617.2020.9057867","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improvement in fuel economy of hybrid hydraulic powertrain by conducting a comparative study of two different optimization strategies
This contribution investigates two different power management optimization techniques to optimally split the power between the engine and accumulator of a parallel hybrid hydraulic vehicle (HHV). The goal is to operate the engine at its most efficient region, keep the accumulator charge within bounds, and reduce the fuel consumption while maintaining the vehicle performance. After deriving the mathematical model of the HHV, a local optimization technique is used to solve the problem in each time step for an urban European drive cycle. Then for the same cycle, the results are compared with a global optimization technique. The global optimization shows a distinct improvement in terms of fuel consumption.