M. Abouzaid, Mohamed Bahgat, M. Watany, M. Elhafiz
{"title":"Dual Starting System Modeling of Vehicle Engine","authors":"M. Abouzaid, Mohamed Bahgat, M. Watany, M. Elhafiz","doi":"10.4271/02-14-04-0030","DOIUrl":"https://doi.org/10.4271/02-14-04-0030","url":null,"abstract":"","PeriodicalId":45281,"journal":{"name":"SAE International Journal of Commercial Vehicles","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45299964","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":"Modelling and Analysis of a Weak Cell in Different String Configurations","authors":"R. Rolt, R. Douglas, P. Nockemann, R. Best","doi":"10.4271/02-14-02-0016","DOIUrl":"https://doi.org/10.4271/02-14-02-0016","url":null,"abstract":"","PeriodicalId":45281,"journal":{"name":"SAE International Journal of Commercial Vehicles","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43837743","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 Pedal Map Setting Method for Considering the Controllability of Vehicle Speed","authors":"Xin Guan, Hao Jin, C. Duan, P. Lu","doi":"10.4271/02-14-02-0012","DOIUrl":"https://doi.org/10.4271/02-14-02-0012","url":null,"abstract":"","PeriodicalId":45281,"journal":{"name":"SAE International Journal of Commercial Vehicles","volume":"14 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70623470","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}
Chong Guo, Cao Deben, Yiran Qiao, Zhenyao Yang, Chang Zhenzhong, Di Zhao, Hou Zhuoran
{"title":"Energy Management Strategy of Extended-Range Electric Bus Based on Model Predictive Control","authors":"Chong Guo, Cao Deben, Yiran Qiao, Zhenyao Yang, Chang Zhenzhong, Di Zhao, Hou Zhuoran","doi":"10.4271/02-14-02-0018","DOIUrl":"https://doi.org/10.4271/02-14-02-0018","url":null,"abstract":"","PeriodicalId":45281,"journal":{"name":"SAE International Journal of Commercial Vehicles","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47378244","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}
Peng Hao, K. Boriboonsomsin, Chao Wang, Guoyuan Wu, M. Barth
{"title":"Connected Eco-approach and Departure System for Diesel Trucks","authors":"Peng Hao, K. Boriboonsomsin, Chao Wang, Guoyuan Wu, M. Barth","doi":"10.4271/02-14-02-0017","DOIUrl":"https://doi.org/10.4271/02-14-02-0017","url":null,"abstract":"","PeriodicalId":45281,"journal":{"name":"SAE International Journal of Commercial Vehicles","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44024598","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}
A dynamic model of a multi-unit air conditioning system in a generic bus was developed to investigate different control strategies on the system performance and the cabin comfort level. In this study, a part-load condition was considered, where adopting a proper strategy for governing a multi-unit system is important. Simulink and Simscape toolbox from MATLAB (R2019a) were used to build up the real-time model by integrating a cooling system with a cabin sub-model. The cooling system consists of two independently controlled units, based on a Vapour Compression Cycle (VCC). The cabin is modelled using a moisture air network and is coupled with the cooling system to exchange heat with the refrigerant through the evaporators. Moreover, the sensible and latent loads are incorporated into the cabin by a thermal network. Six different strategies were implemented using different criteria, to investigate the average power and COP (Coefficient of Performance) under a part-load condition. The comfort level was obtained in terms of the Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD) indices. Results are suggestive of a link between the implemented control strategy of a multi-unit AC system and its performance. Results showed that five out of the six proposed strategies might be chosen, depending on the adopted trade-off policy between the comfort level and the system energy demand. In this way, the numerical approach introduced here along with the combination of the presented findings, provide a good support for the decision-making on thermal management inside the cabin, based on the energy consumption and the thermal comfort level.
{"title":"Dynamic Modelling and Performance Prediction of a Multi-unit Baseline Air Conditioning System for a Generic Bus under Part-Load Conditions","authors":"E. Afrasiabian, R. Douglas, R. Best","doi":"10.4271/02-14-02-0015","DOIUrl":"https://doi.org/10.4271/02-14-02-0015","url":null,"abstract":"A dynamic model of a multi-unit air conditioning system in a generic bus was developed to investigate different control strategies on the system performance and the cabin comfort level. In this study, a part-load condition was considered, where adopting a proper strategy for governing a multi-unit system is important. Simulink and Simscape toolbox from MATLAB (R2019a) were used to build up the real-time model by integrating a cooling system with a cabin sub-model. The cooling system consists of two independently controlled units, based on a Vapour Compression Cycle (VCC). The cabin is modelled using a moisture air network and is coupled with the cooling system to exchange heat with the refrigerant through the evaporators. Moreover, the sensible and latent loads are incorporated into the cabin by a thermal network. Six different strategies were implemented using different criteria, to investigate the average power and COP (Coefficient of Performance) under a part-load condition. The comfort level was obtained in terms of the Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD) indices. Results are suggestive of a link between the implemented control strategy of a multi-unit AC system and its performance. Results showed that five out of the six proposed strategies might be chosen, depending on the adopted trade-off policy between the comfort level and the system energy demand. In this way, the numerical approach introduced here along with the combination of the presented findings, provide a good support for the decision-making on thermal management inside the cabin, based on the energy consumption and the thermal comfort level.","PeriodicalId":45281,"journal":{"name":"SAE International Journal of Commercial Vehicles","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43373993","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":"Clutch Disengagement Control of a Dual-Speed Transmission for Electric Vans","authors":"Senqi Tan, Jue Yang, Xinxin Zhao, A. Khajepour","doi":"10.4271/02-14-02-0013","DOIUrl":"https://doi.org/10.4271/02-14-02-0013","url":null,"abstract":"","PeriodicalId":45281,"journal":{"name":"SAE International Journal of Commercial Vehicles","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48119853","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}
D. Jelaska, Milan Perkušić, Srdjan Podrug, Vjekoslav Tvrdić
{"title":"A Novel Approach to Energy Management Strategy for Hybrid Electric Vehicles","authors":"D. Jelaska, Milan Perkušić, Srdjan Podrug, Vjekoslav Tvrdić","doi":"10.4271/02-14-02-0010","DOIUrl":"https://doi.org/10.4271/02-14-02-0010","url":null,"abstract":"","PeriodicalId":45281,"journal":{"name":"SAE International Journal of Commercial Vehicles","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45968805","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}
D. Song, Liang Weizhi, Xiaohua Zeng, Guanghan Li, Yang Lili
{"title":"Modeling for Hydraulic Hub Motor Drive System Based on Node Cavity Method","authors":"D. Song, Liang Weizhi, Xiaohua Zeng, Guanghan Li, Yang Lili","doi":"10.4271/02-14-02-0011","DOIUrl":"https://doi.org/10.4271/02-14-02-0011","url":null,"abstract":"","PeriodicalId":45281,"journal":{"name":"SAE International Journal of Commercial Vehicles","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45469872","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}
. With the development of artificial intelligence (AI), autonomous vehicle technology has become a hot research spot in this era, which can effectively improve driving safety and greatly secure driver’s operations. As one of the key technologies for automated vehicles, planning a safe and highly effective path is the key premise and can guarantee for road safety. Therefore, it has a significant impact on academic research and commercial applications. In this paper, we take autonomous vehicles as our research theme, collect, summarize, compare and evaluate those state-of-the-art algorithms of path planning. Our ultimate goal is to create a novel path planning algorithm based on the unique characteristic of autonomous vehicles, explore and exploit its further value.
{"title":"A Survey of Path Planning Algorithms for Autonomous Vehicles","authors":"Ming Yu, Yanqiang Li, Zihui Zhang, Weiqi Yan","doi":"10.4271/02-14-01-0007","DOIUrl":"https://doi.org/10.4271/02-14-01-0007","url":null,"abstract":". With the development of artificial intelligence (AI), autonomous vehicle technology has become a hot research spot in this era, which can effectively improve driving safety and greatly secure driver’s operations. As one of the key technologies for automated vehicles, planning a safe and highly effective path is the key premise and can guarantee for road safety. Therefore, it has a significant impact on academic research and commercial applications. In this paper, we take autonomous vehicles as our research theme, collect, summarize, compare and evaluate those state-of-the-art algorithms of path planning. Our ultimate goal is to create a novel path planning algorithm based on the unique characteristic of autonomous vehicles, explore and exploit its further value.","PeriodicalId":45281,"journal":{"name":"SAE International Journal of Commercial Vehicles","volume":" ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43862489","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}
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