Journal
APPLIED THERMAL ENGINEERING
Volume 164, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.applthermaleng.2019.114394
Keywords
Lithium-ion battery pack; Battery thermal management system (BTMS); Multi-objective optimization; Non-dominated Sorting Genetic Algorithm II (NSGA-II); Response surface approximation (RSA)
Funding
- National Natural Science Foundation of China [51305473]
- Science and Technology Project Affiliated to the Education Department of Chongqing Municipality [KJ1600538]
- Natural Science and Frontier Technology Research Program of the Chongqing Municipal Science and Technology Commission [cstc2016jcyjA0582]
- Chongqing Postgraduate Research and Innovation Project [CYS18225]
- Scientific and Technology Research Program of Chongqing Municipal Education Commission [KJQN201800718]
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The thermal management of batteries was a significant issue considering the safety and efficiency. Optimal design of a novel liquid cooling system with symmetrical double-layer reverting bifurcation channel was performed by combining experimental, numerical simulation and multi-objective optimization techniques. The thermophysical parameters and heat production rate of the battery for numerical simulation were obtained by experiments. The convective heat transfer coefficient and the surface friction coefficient were chosen as objective functions to visually reflect the heat transfer process. Furthermore, batteries were confined to work at the optimal temperature (25-40 degrees C) and the optimal temperature difference between cells (less than 5 degrees C). The performance values of design points obtained by Latin hypercube sampling were calculated numerically. Response surface approximation was adopted to approximate the objective function and the constraint function to reduce computing time. The Pareto-optimal front between -h and f was obtained using Non-dominated Sorting Genetic Algorithm II. 17.19% change in heat transfer coefficient was accomplished by 85.53% change in skin friction coefficient. The results reported that the cooling system with optimized thermal performance can be obtained at low flow loss.
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