S. Heydari, P. Fajri, Nima Lotfi, Md. Rasheduzzaman
{"title":"Maximum-Current Curve Operation of Electric Vehicles for Improved\u0000 Energy Recuperation during Regenerative Braking","authors":"S. Heydari, P. Fajri, Nima Lotfi, Md. Rasheduzzaman","doi":"10.4271/14-12-02-0007","DOIUrl":"https://doi.org/10.4271/14-12-02-0007","url":null,"abstract":"","PeriodicalId":36261,"journal":{"name":"SAE International Journal of Electrified Vehicles","volume":"74 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79488764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparative Energy Analysis of the Conventional and Fuel Cell\u0000 Electric Powertrains for a Medium-Duty Truck","authors":"Eyad Abouelkhair, F. Salek, M. Babaie","doi":"10.4271/14-12-01-0004","DOIUrl":"https://doi.org/10.4271/14-12-01-0004","url":null,"abstract":"","PeriodicalId":36261,"journal":{"name":"SAE International Journal of Electrified Vehicles","volume":"30 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73067189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Fundamental Analysis for Steady-State Operation of Linear Internal\u0000 Combustion Engine-Linear Generator Integrated System","authors":"H. Xie, Pengfei Zang, Jianjun Xiong, Yichen Gao","doi":"10.4271/14-12-01-0003","DOIUrl":"https://doi.org/10.4271/14-12-01-0003","url":null,"abstract":"","PeriodicalId":36261,"journal":{"name":"SAE International Journal of Electrified Vehicles","volume":"30 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82807682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sensorless Improved Vector Control Model of a Permanent Magnet\u0000 Synchronous Motor Using Electromagnetic Switches","authors":"Saber Hadj Abdallah, S. Tounsi","doi":"10.4271/14-12-01-0002","DOIUrl":"https://doi.org/10.4271/14-12-01-0002","url":null,"abstract":"","PeriodicalId":36261,"journal":{"name":"SAE International Journal of Electrified Vehicles","volume":"89 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75907996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shervin Shoai Naini, Richard S. Miller, Denise Rizoo, J. Wagner
{"title":"A Model Reference Adaptive Controller for an Electric Motor Thermal\u0000 Management System in Autonomous Vehicles","authors":"Shervin Shoai Naini, Richard S. Miller, Denise Rizoo, J. Wagner","doi":"10.4271/14-12-01-0001","DOIUrl":"https://doi.org/10.4271/14-12-01-0001","url":null,"abstract":"","PeriodicalId":36261,"journal":{"name":"SAE International Journal of Electrified Vehicles","volume":"47 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83240361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Novel Model Predictive Control Framework for Energy Management in\u0000 Retrofit Hybrid Electric Vehicles","authors":"N. Kothuri, Aditya Chandrasekhar, S. Sengupta","doi":"10.4271/14-12-03-0017","DOIUrl":"https://doi.org/10.4271/14-12-03-0017","url":null,"abstract":"","PeriodicalId":36261,"journal":{"name":"SAE International Journal of Electrified Vehicles","volume":"5 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73066747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Arash Khalatbarisoltani, M. Kandidayeni, L. Boulon, Xiaosong Hu
An energy management strategy (EMS) has an essential role in ameliorating the efficiency and lifetime of the powertrain components in a hybrid fuel cell vehicle (HFCV). The EMS of intelligent HFCVs is equipped with advanced data-driven techniques to efficiently distribute the power flow among the power sources, which have heterogeneous energetic characteristics. Decentralized EMSs provide higher modularity (plug and play) and reliability compared to the centralized data-driven strategies. Modularity is the specification that promotes the discovery of new components in a powertrain system without the need for reconfiguration. Hence, this paper puts forward a decentralized reinforcement learning (Dec-RL) framework for designing an EMS in a heavy-duty HFCV. The studied powertrain is composed of two parallel fuel cell systems (FCSs) and a battery pack. The contribution of the suggested multi-agent approach lies in the development of a fully decentralized learning strategy composed of several connected local modules. The performance of the proposed approach is investigated through several simulations and experimental tests. The results indicate the advantage of the established Dec-RL control scheme in convergence speed and optimization criteria.
{"title":"A Decentralized Multi-agent Energy Management Strategy Based on a Look-Ahead Reinforcement Learning Approach","authors":"Arash Khalatbarisoltani, M. Kandidayeni, L. Boulon, Xiaosong Hu","doi":"10.4271/14-11-02-0012","DOIUrl":"https://doi.org/10.4271/14-11-02-0012","url":null,"abstract":"An energy management strategy (EMS) has an essential role in ameliorating the efficiency and lifetime of the powertrain components in a hybrid fuel cell vehicle (HFCV). The EMS of intelligent HFCVs is equipped with advanced data-driven techniques to efficiently distribute the power flow among the power sources, which have heterogeneous energetic characteristics. Decentralized EMSs provide higher modularity (plug and play) and reliability compared to the centralized data-driven strategies. Modularity is the specification that promotes the discovery of new components in a powertrain system without the need for reconfiguration. Hence, this paper puts forward a decentralized reinforcement learning (Dec-RL) framework for designing an EMS in a heavy-duty HFCV. The studied powertrain is composed of two parallel fuel cell systems (FCSs) and a battery pack. The contribution of the suggested multi-agent approach lies in the development of a fully decentralized learning strategy composed of several connected local modules. The performance of the proposed approach is investigated through several simulations and experimental tests. The results indicate the advantage of the established Dec-RL control scheme in convergence speed and optimization criteria.","PeriodicalId":36261,"journal":{"name":"SAE International Journal of Electrified Vehicles","volume":"14 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2021-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72629708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H. Zhu, Ziyou Song, Weichao Zhuang, H. Hofmann, Shuo Feng
{"title":"Multi-objective Optimization for Connected and Automated Vehicles Using Machine Learning and Model Predictive Control","authors":"H. Zhu, Ziyou Song, Weichao Zhuang, H. Hofmann, Shuo Feng","doi":"10.4271/14-11-02-0014","DOIUrl":"https://doi.org/10.4271/14-11-02-0014","url":null,"abstract":"","PeriodicalId":36261,"journal":{"name":"SAE International Journal of Electrified Vehicles","volume":"7 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2021-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76904295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Neural Network-Based Regression Study for a Hybrid Battery Thermal Management System under Fast Charging","authors":"Siqi Chen, Guangxu Zhang, Dongdong Qiao, Xueyuan Wang, Bo Jiang, Haifeng Dai, Jiangong Zhu, Xuezhe Wei","doi":"10.4271/14-11-02-0015","DOIUrl":"https://doi.org/10.4271/14-11-02-0015","url":null,"abstract":"","PeriodicalId":36261,"journal":{"name":"SAE International Journal of Electrified Vehicles","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87766597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stefano Feraco, P. G. Anselma, A. Bonfitto, P. Kollmeyer
{"title":"Robust Data-Driven Battery State of Charge Estimation for Hybrid Electric Vehicles","authors":"Stefano Feraco, P. G. Anselma, A. Bonfitto, P. Kollmeyer","doi":"10.4271/14-11-02-0017","DOIUrl":"https://doi.org/10.4271/14-11-02-0017","url":null,"abstract":"","PeriodicalId":36261,"journal":{"name":"SAE International Journal of Electrified Vehicles","volume":"12 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82255340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：