基于风扇和泵电机模糊控制方法的电动汽车自适应节能冷却系统设计

Qingshan Wang, D. Liang, Junyi Wang
{"title":"基于风扇和泵电机模糊控制方法的电动汽车自适应节能冷却系统设计","authors":"Qingshan Wang, D. Liang, Junyi Wang","doi":"10.1109/EVER.2015.7113013","DOIUrl":null,"url":null,"abstract":"Replacing the conventional cars with electric vehicles is generally considered a promising solution for the up-to-date energy shortage and atmospheric pollution problems. Loss is generated all the time in the traveling process of electric vehicles and it is eventually transformed to heat dissipating in ambient environment. Thermal management is a critical part in electric vehicle research to timely take away the heat, ensuring the system work properly. A self-adaptive cooling system with cooling fan and coolant pump being controlled adopting fuzzy law is proposed in this paper. The structure and parameters of the fuzzy controller are designed according to the actual cooling system working conditions. Simulation model is constructed in Matlab/Simulink environment based on the topology and control strategy studied above. Experimental prototype, including two permanent magnet synchronous motors (PMSM), power converters, control box, cooling fan and coolant pump are all manufactured and tested. The design scheme is verified by the testing results.","PeriodicalId":169529,"journal":{"name":"2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Electric vehicle self-adaptive energy-saving cooling system design based on fuzzy control methods of fan and pump electromotors\",\"authors\":\"Qingshan Wang, D. Liang, Junyi Wang\",\"doi\":\"10.1109/EVER.2015.7113013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Replacing the conventional cars with electric vehicles is generally considered a promising solution for the up-to-date energy shortage and atmospheric pollution problems. Loss is generated all the time in the traveling process of electric vehicles and it is eventually transformed to heat dissipating in ambient environment. Thermal management is a critical part in electric vehicle research to timely take away the heat, ensuring the system work properly. A self-adaptive cooling system with cooling fan and coolant pump being controlled adopting fuzzy law is proposed in this paper. The structure and parameters of the fuzzy controller are designed according to the actual cooling system working conditions. Simulation model is constructed in Matlab/Simulink environment based on the topology and control strategy studied above. Experimental prototype, including two permanent magnet synchronous motors (PMSM), power converters, control box, cooling fan and coolant pump are all manufactured and tested. The design scheme is verified by the testing results.\",\"PeriodicalId\":169529,\"journal\":{\"name\":\"2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER)\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EVER.2015.7113013\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EVER.2015.7113013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

用电动汽车取代传统汽车被普遍认为是解决当前能源短缺和大气污染问题的一个有希望的解决方案。电动汽车在行驶过程中始终会产生损耗,并最终转化为周围环境中的散热。热管理是电动汽车研究中的一个关键环节,它能及时带走车辆的热量,保证系统的正常工作。本文提出了一种采用模糊律控制冷却风扇和冷却液泵的自适应冷却系统。根据冷却系统的实际工况,设计了模糊控制器的结构和参数。基于上述拓扑结构和控制策略,在Matlab/Simulink环境下建立仿真模型。实验样机包括两台永磁同步电机(PMSM)、电源变换器、控制箱、冷却风扇和冷却液泵全部制造并进行了测试。试验结果验证了设计方案的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electric vehicle self-adaptive energy-saving cooling system design based on fuzzy control methods of fan and pump electromotors
Replacing the conventional cars with electric vehicles is generally considered a promising solution for the up-to-date energy shortage and atmospheric pollution problems. Loss is generated all the time in the traveling process of electric vehicles and it is eventually transformed to heat dissipating in ambient environment. Thermal management is a critical part in electric vehicle research to timely take away the heat, ensuring the system work properly. A self-adaptive cooling system with cooling fan and coolant pump being controlled adopting fuzzy law is proposed in this paper. The structure and parameters of the fuzzy controller are designed according to the actual cooling system working conditions. Simulation model is constructed in Matlab/Simulink environment based on the topology and control strategy studied above. Experimental prototype, including two permanent magnet synchronous motors (PMSM), power converters, control box, cooling fan and coolant pump are all manufactured and tested. The design scheme is verified by the testing results.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信