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
deardorff发布了新的文献求助10
1秒前
2秒前
量子星尘发布了新的文献求助10
3秒前
wan发布了新的文献求助10
4秒前
qingli发布了新的文献求助10
5秒前
曹苍久发布了新的文献求助10
5秒前
执着从筠完成签到 ,获得积分10
7秒前
zhendezy发布了新的文献求助10
8秒前
samtol完成签到,获得积分10
9秒前
9秒前
9秒前
王qc发布了新的文献求助10
9秒前
蹦蹦灯儿完成签到,获得积分10
10秒前
无私的发箍完成签到,获得积分10
10秒前
11秒前
爆米花应助纯真的盼柳采纳,获得10
12秒前
13秒前
13秒前
14秒前
岁岁平安完成签到,获得积分10
15秒前
15秒前
菲比发布了新的文献求助10
16秒前
16秒前
17秒前
顺利萃发布了新的文献求助10
17秒前
17秒前
17秒前
deardorff完成签到,获得积分10
18秒前
wanying发布了新的文献求助10
18秒前
JiaJiaQing发布了新的文献求助10
18秒前
xyhua925发布了新的文献求助10
18秒前
18秒前
19秒前
IF关闭了IF文献求助
20秒前
21秒前
instant发布了新的文献求助10
21秒前
连一笑发布了新的文献求助10
21秒前
22秒前
22秒前
文静外套发布了新的文献求助10
22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
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
化妆品原料学 1000
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
小学科学课程与教学 500
Study and Interlaboratory Validation of Simultaneous LC-MS/MS Method for Food Allergens Using Model Processed Foods 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 5643332
求助须知:如何正确求助?哪些是违规求助? 4761047
关于积分的说明 15020601
捐赠科研通 4801687
什么是DOI,文献DOI怎么找? 2566980
邀请新用户注册赠送积分活动 1524786
关于科研通互助平台的介绍 1484372