Iterative Dynamic Programming Strategy for Electric Vehicle Battery Thermal Management Optimization-Reference-Cited by-同舟云学术

Iterative Dynamic Programming Strategy for Electric Vehicle Battery Thermal Management Optimization

Published:2022-04-14 Issue:7 Volume:5 Page:2100602
ISSN:2513-0390
Container-title:Advanced Theory and Simulations
language:en
Short-container-title:Advcd Theory and Sims

Author:

Ma Yan¹^ORCID,Li Jiayi²

Affiliation:

1. State Key Laboratory of Automotive Simulation and Control Department of Control Science and Engineering Jilin University Changchun 130012 P. R. China

2. Department of Control Science and Engineering Jilin University Changchun 130012 P. R. China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Multidisciplinary,Modeling and Simulation,Numerical Analysis,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adts.202100602

Reference45 articles.

1. Experimental and simulation study of liquid coolant battery thermal management system for electric vehicles: A review

2. A review of novel thermal management systems for batteries

3. The Role of Pilot Lines in Bridging the Gap Between Fundamental Research and Industrial Production for Lithium‐Ion Battery Cells Relevant to Sustainable Electromobility: A Review

4. Electrochemical–Thermal Evaluation of an Integrated Thermal Management System for Lithium‐Ion Battery Modules

5. System simulation on refrigerant-based battery thermal management technology for electric vehicles

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