Thermal Management System for Lithium-Ion Batteries
A special issue of Batteries (ISSN 2313-0105). This special issue belongs to the section "Battery Modelling, Simulation, Management and Application".
Deadline for manuscript submissions: closed (25 January 2024) | Viewed by 35845
Special Issue Editors
Interests: batteries for electric vehicles; lithium-ion batteries; thermal management; heat transfer; hydrogen production and storage; hydrogen refueling system; renewable and clean energies
Special Issues, Collections and Topics in MDPI journals
Interests: battery thermal management; battery test; phase change materials; electronics cooling
Special Issues, Collections and Topics in MDPI journals
Interests: new smart-vehicle energy optimization systems; thermal management of fuel cells and batteries; optimal control of fuel cells, batteries and generators; energy optimization and intelligent navigation of autonomous vehicles
Special Issue Information
Dear Colleagues,
Lithium-ion batteries (LIBs) have been widely used as power sources for both industry and daily life. This is mainly due to the salient features of LIBs, such as high energy density, high power output, low self-discharge rate and little memory effect. Nonetheless, the performances of LIBs are highly dependent on the operating temperature. A higher temperature would cause accelerated battery degradation with shortened lifetime and even thermal runaway, and a lower temperature would cause reduced discharge capacity and rate, leading to mileage anxiety and sudden power failure. Research on the thermal and energy storage performances of LIBs is still limited in terms of thermal and safety design in demanding application scenarios.
This Special Issue, “Thermal Management System for Lithium-Ion Batteries”, aims to present and disseminate the most recent advances in the thermal management of LIBs under various application conditions. Topics of interest for publication include, but are not limited to:
- Liquid cooling and its hybrid forms;
- Air cooling;
- Phase-change materials and coupled cooling;
- Refrigeration cooling;
- Thermal safety performance;
- Thermal runaway;
- Dynamic thermal performance under operating conditions;
- Advanced modeling techniques such as machine learning;
- Multi-scale approach (from battery cell, module, and pack to system scale).
Prof. Dr. Jinsheng Xiao
Prof. Dr. Hengyun Zhang
Prof. Dr. Sousso Kelouwani
Guest Editors
Manuscript Submission Information
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Keywords
- liquid cooling and its hybrid forms
- air cooling
- phase-change materials and coupled cooling
- refrigeration cooling
- thermal safety performance
- dynamic thermal performance under operating conditions
- advanced modeling techniques
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