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Heat dissipation optimization of lithium-ion battery pack based on neural networks

  • Published:2019-11 Issue: Volume:162 Page:114289
  • ISSN:1359-4311
  • Container-title:Applied Thermal Engineering
  • language:en
  • Short-container-title:Applied Thermal Engineering

Author:

Qian Xiao,Xuan Dongji,Zhao Xiaobo,Shi Zhuangfei

Funder

National Natural Science Foundation of China, China

Major Science and Technology Projects of Wenzhou, China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology

Reference26 articles.

1. Battery thermal management system with liquid cooling and heating in electric vehicles;Hao;J. J. Automotive Safety Energy,2012

2. Virtual Prototyping Approach to Evaluate the Thermal Management of Li-ion Batteries;Paolo,2014

3. Thermal modeling and validation of temperature distributions in a prismatic lithium-ion battery at different discharge rates and varying boundary conditions;Panchal;J. Appl. Therm. Eng.,2016

4. Electrochemical thermal modeling and experimental measurements of 18650 cylindrical lithium-ion battery during discharge cycle for an EV;Panchal;J. Appl. Therm. Eng.,2018

5. Numerical investigation of thermal behaviors in lithium-ion-ion battery stack discharge;Liu;J. Appl. Energy,2014

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