电动汽车多机并行协同运行分布式空调系统

IF 4 4区 工程技术 Q3 ENERGY & FUELS
Ding Peng, Gu Xiaoyong, Zhang Meijuan, Zhang Pengbo,  Gaoliang
{"title":"电动汽车多机并行协同运行分布式空调系统","authors":"Ding Peng,&nbsp;Gu Xiaoyong,&nbsp;Zhang Meijuan,&nbsp;Zhang Pengbo,&nbsp; Gaoliang","doi":"10.1007/s12053-025-10387-1","DOIUrl":null,"url":null,"abstract":"<div><p>Electric buses often face significant energy-consumption challenges, as air-conditioning units alone consume over 30% of such buses’ battery power at maximum capacity. To address this problem, we propose a distributed collaborative cooling method employing multiple refrigeration devices to reduce energy consumption by electric vehicle air-conditioning systems. Initially, numerical analysis is used to determine the heat load inside a vehicle, thereby facilitating the establishment of power and component models for multiple small refrigeration devices. Furthermore, a hybrid approach utilizing cameras and thermal infrared sensors is employed to detect passenger occupancy within a vehicle. The vehicle’s interior is divided into three zones—front, middle, and rear—each of which is equipped with a small refrigeration unit, rather than using a conventional single-unit configuration. The concept of the relative number of people ratio is introduced to gauge the requisite cooling capacity within the vehicle. Additionally, a novel method is proposed for pulse width modulation control of a refrigeration compressor, predicated on a comparison between the number of passengers and the interior temperature. High-temperature tests are conducted on an electric bus to evaluate the cooling performance and energy consumption of the novel refrigeration system across varying passenger loads. The results demonstrate that the system achieves the desired cooling effect while reducing energy consumption by up to 83.6% compared with traditional electric vehicle air-conditioning systems, thereby effectively extending the range of electric vehicles.</p></div>","PeriodicalId":537,"journal":{"name":"Energy Efficiency","volume":"18 8","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distributed air-conditioning system for multi-machine parallel collaborative operation in electric vehicles\",\"authors\":\"Ding Peng,&nbsp;Gu Xiaoyong,&nbsp;Zhang Meijuan,&nbsp;Zhang Pengbo,&nbsp; Gaoliang\",\"doi\":\"10.1007/s12053-025-10387-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Electric buses often face significant energy-consumption challenges, as air-conditioning units alone consume over 30% of such buses’ battery power at maximum capacity. To address this problem, we propose a distributed collaborative cooling method employing multiple refrigeration devices to reduce energy consumption by electric vehicle air-conditioning systems. Initially, numerical analysis is used to determine the heat load inside a vehicle, thereby facilitating the establishment of power and component models for multiple small refrigeration devices. Furthermore, a hybrid approach utilizing cameras and thermal infrared sensors is employed to detect passenger occupancy within a vehicle. The vehicle’s interior is divided into three zones—front, middle, and rear—each of which is equipped with a small refrigeration unit, rather than using a conventional single-unit configuration. The concept of the relative number of people ratio is introduced to gauge the requisite cooling capacity within the vehicle. Additionally, a novel method is proposed for pulse width modulation control of a refrigeration compressor, predicated on a comparison between the number of passengers and the interior temperature. High-temperature tests are conducted on an electric bus to evaluate the cooling performance and energy consumption of the novel refrigeration system across varying passenger loads. The results demonstrate that the system achieves the desired cooling effect while reducing energy consumption by up to 83.6% compared with traditional electric vehicle air-conditioning systems, thereby effectively extending the range of electric vehicles.</p></div>\",\"PeriodicalId\":537,\"journal\":{\"name\":\"Energy Efficiency\",\"volume\":\"18 8\",\"pages\":\"\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2025-10-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy Efficiency\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12053-025-10387-1\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Efficiency","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s12053-025-10387-1","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

摘要

电动巴士往往面临着巨大的能源消耗挑战,因为在最大容量下,仅空调设备就消耗了超过30%的电池电量。为了解决这一问题,我们提出了一种采用多制冷装置的分布式协同制冷方法,以降低电动汽车空调系统的能耗。首先,通过数值分析确定车辆内部的热负荷,从而便于建立多个小型制冷装置的功率和部件模型。此外,利用摄像头和热红外传感器的混合方法被用来检测车辆内的乘客占用情况。这辆车的内部被分为三个区域——前部、中部和后部——每个区域都配备了一个小型制冷装置,而不是使用传统的单单元配置。引入了相对人数比的概念来衡量车辆内所需的冷却能力。在此基础上,提出了一种基于客流量和室内温度对比的制冷压缩机脉宽调制控制方法。在一辆电动客车上进行了高温试验,以评估该新型制冷系统在不同载客量下的制冷性能和能耗。结果表明,与传统电动汽车空调系统相比,该系统在达到预期制冷效果的同时,能耗降低高达83.6%,从而有效地延长了电动汽车的行驶里程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed air-conditioning system for multi-machine parallel collaborative operation in electric vehicles

Electric buses often face significant energy-consumption challenges, as air-conditioning units alone consume over 30% of such buses’ battery power at maximum capacity. To address this problem, we propose a distributed collaborative cooling method employing multiple refrigeration devices to reduce energy consumption by electric vehicle air-conditioning systems. Initially, numerical analysis is used to determine the heat load inside a vehicle, thereby facilitating the establishment of power and component models for multiple small refrigeration devices. Furthermore, a hybrid approach utilizing cameras and thermal infrared sensors is employed to detect passenger occupancy within a vehicle. The vehicle’s interior is divided into three zones—front, middle, and rear—each of which is equipped with a small refrigeration unit, rather than using a conventional single-unit configuration. The concept of the relative number of people ratio is introduced to gauge the requisite cooling capacity within the vehicle. Additionally, a novel method is proposed for pulse width modulation control of a refrigeration compressor, predicated on a comparison between the number of passengers and the interior temperature. High-temperature tests are conducted on an electric bus to evaluate the cooling performance and energy consumption of the novel refrigeration system across varying passenger loads. The results demonstrate that the system achieves the desired cooling effect while reducing energy consumption by up to 83.6% compared with traditional electric vehicle air-conditioning systems, thereby effectively extending the range of electric vehicles.

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
Energy Efficiency
Energy Efficiency ENERGY & FUELS-ENERGY & FUELS
CiteScore
5.80
自引率
6.50%
发文量
59
审稿时长
>12 weeks
期刊介绍: The journal Energy Efficiency covers wide-ranging aspects of energy efficiency in the residential, tertiary, industrial and transport sectors. Coverage includes a number of different topics and disciplines including energy efficiency policies at local, regional, national and international levels; long term impact of energy efficiency; technologies to improve energy efficiency; consumer behavior and the dynamics of consumption; socio-economic impacts of energy efficiency measures; energy efficiency as a virtual utility; transportation issues; building issues; energy management systems and energy services; energy planning and risk assessment; energy efficiency in developing countries and economies in transition; non-energy benefits of energy efficiency and opportunities for policy integration; energy education and training, and emerging technologies. See Aims and Scope for more details.
×
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:604180095
Book学术官方微信