Thermal optimization of Li-ion battery pack using genetic algorithm integrated with machine learning-Reference-Cited by-同舟云学术

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Thermal optimization of Li-ion battery pack using genetic algorithm integrated with machine learning

Published:2023-09 Issue: Volume:44 Page:102069
ISSN:2451-9049
Container-title:Thermal Science and Engineering Progress
language:en
Short-container-title:Thermal Science and Engineering Progress

Author:

Ghafoor Usman,Yaqub Muhammad Waqas,Qureshi Muhammad Uzair,Aslam Khan Muhammad Nouman

Funder

National University of Sciences and Technology

Publisher

Elsevier BV

Subject

Fluid Flow and Transfer Processes

Reference37 articles.

1. Optimal configuration of electric vehicles for charging stations under the fast power supplement mode;Jiang;J. Energy Storage,2022

2. Comparison study on the battery models used for the energy management of batteries in electric vehicles;He;Energy Convers. Manag.,2012

3. A review on thermal management of lithium-ion batteries for electric vehicles;Zhang;Energy,2022

4. S. Maleki, B. Ray, and M. T. Hagh, “Hybrid framework for predicting and forecasting State of Health of Lithium-ion batteries in Electric Vehicles,” Sustain. Energy, Grids Networks, p. 100603, Jan. 2022, 10.1016/J.SEGAN.2022.100603.

5. Safety focused modeling of lithium-ion batteries: A review;Abada;J. Power Sources,2016

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1. Efficient Design of Battery Thermal Management Systems for Improving Cooling Performance and Reducing Pressure Drop;Energies;2024-05-09

2. Multi-objective parameter optimization of the Z-type air-cooling system based on artificial neural network;Journal of Energy Storage;2024-05

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