A Novel Procedure Combining CFD and Evolutionary Approach to Minimize Parasitic Power Loss in Air Cooling of Li-ion Battery for Thermal Management System Design

UM > Faculty of Science and Technology > DEPARTMENT OF ELECTROMECHANICAL ENGINEERING

Status	已發表Published
	A Novel Procedure Combining CFD and Evolutionary Approach to Minimize Parasitic Power Loss in Air Cooling of Li-ion Battery for Thermal Management System Design
	Jishnu, A.K.; Garg, A.; Su, S.; Su, Y.; Panigrahi, B.K.
	2021-02-01
Source Publication	Energy Storage
ISSN	2578-4862
Pages	e2210-e2210
Abstract	Air-cooling-based battery thermal management system (BTMS) is a research hotspot for electric vehicles because of lower cost and simpler design. Past research works have immensely concentrated on the enhancement of heat removal from Li-ion battery, but the minimum consideration has been given to minimize the parasitic power. In this paper, a novel procedure is proposed to predict the operating parameters (inlet velocity, working time of fan, and range of heat generation rates) of air-cooling design for minimizing parasitic power and ensuring the battery temperature do not exceed the upper threshold limit simultaneously. Based on findings via computational fluid dynamics analysis, an empirical model of aircooling BTMS is further developed using an evolutionary approach of model selection criteria approximated genetic programming (MSC-GP). The model is then optimized to determine operating parameters of air cooling which causes minimum parasitic power while keeping the average temperature of battery cells within the limit. Further, sensitivity analysis and parameter interaction (2D and 3D) analysis is also performed to study the effect and identify the contribution of various operating parameters on parasitic power. Operating time of fan has 49% influence on final temperature while inlet velocity has 36% influence only. However parasitic power is more sensitive to inlet velocity (77%) while operating time has 23% influence only. Finally, the optimal values of operating parameters for various heat generation rate per cell (function of discharge rate) are obtained. The optimized parasitic power was observed to be nonlinearly increasing with heat generation rate. Operating time of fan has 49% influence on final temperature while inlet velocity has 36% influence only. However, parasitic power is more sensitive to inlet velocity (77%) while operating time has 23% influence only.
Keyword	air cooling battery thermal management system lithium-ion battery model selection criteria approximated genetic programming parasitic power
Language	英語English
The Source to Article	PB_Publication
PUB ID	58502
Document Type	Journal article
Collection	DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Recommended Citation GB/T 7714	Jishnu, A.K.,Garg, A.,Su, S.,et al. A Novel Procedure Combining CFD and Evolutionary Approach to Minimize Parasitic Power Loss in Air Cooling of Li-ion Battery for Thermal Management System Design[J]. Energy Storage, 2021, e2210-e2210.
APA	Jishnu, A.K.., Garg, A.., Su, S.., Su, Y.., & Panigrahi, B.K. (2021). A Novel Procedure Combining CFD and Evolutionary Approach to Minimize Parasitic Power Loss in Air Cooling of Li-ion Battery for Thermal Management System Design. Energy Storage, e2210-e2210.
MLA	Jishnu, A.K.,et al."A Novel Procedure Combining CFD and Evolutionary Approach to Minimize Parasitic Power Loss in Air Cooling of Li-ion Battery for Thermal Management System Design".Energy Storage (2021):e2210-e2210.

Files in This Item:
There are no files associated with this item.

If you have any objections to this item, please fill out the form below and the administrator will contact you as soon as possible.
Content:
Email：	*
Affiliation No.
Verification Code:	Refresh

Any comments and suggestions are welcomed.
Title:	*
Content:
Email：	*
Verification Code:	Refresh