A direct optimization strategy based on field synergy equation for efficient design of battery thermal management system

优化设计 增压室空间 压力降 计算机科学 电池(电) 水冷 材料科学 控制理论(社会学) 机械工程 机械 功率(物理) 工程类 控制(管理) 人工智能 物理 机器学习 量子力学
作者
Junsheng Hou,Xiaoling Wu,Kai Chen,Yuan Dong
出处
期刊:International Journal of Heat and Mass Transfer [Elsevier]
卷期号:184: 122304-122304 被引量:24
标识
DOI:10.1016/j.ijheatmasstransfer.2021.122304
摘要

Air-cooled battery thermal management system (BTMS) is critical for the safety and performance of electric vehicles. The system design needs to be optimized to achieve best thermal stability and uniformity. The current optimization methods for system design require empirical adjustment and contain randomness, which impedes to get the optimal system design. In this work, a direct optimization strategy based on field synergy equation is proposed for the optimal design of BTMS. Field synergy equation is introduced to calculate the optimal flow rate distribution in the system, which is combined with flow resistance network model to obtain the optimized structural parameters of the system. The developed strategy is adopted to optimize the parallel channel width distribution and plenum angle of BTMS. Computational fluid dynamics method and experiment are utilized to evaluate the cooling performance of BTMS. The results show that the temperature difference (ΔTmax) in battery pack after parallel channel width optimization is reduced by at least 49% without pressure drop increased, while ΔTmax after plenum angle optimization is reduced by at least 56% with pressure drop slightly increased. Mechanism of convective heat transfer optimization is taken into consideration by using field synergy equation in the proposed direct optimization strategy, which thus eliminates the burden of repeated adjustment of structural parameters and exhibits high efficiency for design of parallel cooling system. The developed optimization strategy is believed to guide the thermal design of battery packs to enhance their performance and safety.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
szh123完成签到,获得积分10
1秒前
顺利小蝴蝶完成签到,获得积分10
1秒前
Serendipity完成签到,获得积分10
1秒前
轨迹应助上邪采纳,获得20
1秒前
英姑应助科研通管家采纳,获得10
1秒前
wy.he应助科研通管家采纳,获得10
1秒前
火星上的听云完成签到,获得积分10
1秒前
orixero应助科研通管家采纳,获得10
1秒前
龙邶辰发布了新的文献求助10
1秒前
Mic应助科研通管家采纳,获得10
2秒前
小坤同学完成签到,获得积分10
2秒前
BowieHuang应助科研通管家采纳,获得10
2秒前
Akim应助科研通管家采纳,获得10
2秒前
英俊的铭应助科研通管家采纳,获得10
2秒前
乐空思应助科研通管家采纳,获得10
2秒前
科研通AI2S应助科研通管家采纳,获得10
2秒前
愉快晟睿完成签到,获得积分20
2秒前
浮游应助科研通管家采纳,获得10
2秒前
面壁思过应助科研通管家采纳,获得10
2秒前
学术laji发布了新的文献求助10
2秒前
wy.he应助科研通管家采纳,获得10
2秒前
Mic应助科研通管家采纳,获得10
3秒前
华仔应助科研通管家采纳,获得10
3秒前
浮游应助科研通管家采纳,获得10
3秒前
wxyshare应助科研通管家采纳,获得10
3秒前
3秒前
Mic应助科研通管家采纳,获得10
3秒前
wanci应助科研通管家采纳,获得10
3秒前
3秒前
活泼的世平完成签到,获得积分10
3秒前
面壁思过应助科研通管家采纳,获得10
3秒前
3秒前
Jasper应助科研通管家采纳,获得10
3秒前
拼搏草莓发布了新的文献求助10
3秒前
Owen应助科研通管家采纳,获得10
4秒前
小蘑菇应助科研通管家采纳,获得10
4秒前
浮游应助科研通管家采纳,获得10
4秒前
sinton发布了新的文献求助10
4秒前
Mic应助科研通管家采纳,获得10
4秒前
情怀应助科研通管家采纳,获得10
4秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 8000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
From Victimization to Aggression 1000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exosomes Pipeline Insight, 2025 500
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5653643
求助须知:如何正确求助?哪些是违规求助? 4790334
关于积分的说明 15065238
捐赠科研通 4812289
什么是DOI,文献DOI怎么找? 2574395
邀请新用户注册赠送积分活动 1529973
关于科研通互助平台的介绍 1488708