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Advanced Technology in Optimal Design and Control of Lithium-Ion Battery System
Topic Information
Dear Colleagues,
Actively developing and utilizing renewable energy and increasing the proportion of electrified transportation have become the critical methods of sustainable development and are the important driving force to achieve green and sustainable development. Lithium-ion batteries, as an important energy storage system in electric vehicles, boats, and aircrafts, urgently need to be monitored in real time for ensuring safe operation. The batteries that cannot provide the expected performance will be replaced. Therefore, the optimal design and control of battery systems, including battery modeling, states estimation, fault diagnosis, and echelon utilization, have attracted wide attention. For this reason, this Topic is intends provide a platform to share the latest findings on this subject (either research or review articles). Potential topics of interest include but are not limited to the following:
- Battery modeling;
- Battery state estimation (SOC/SOH/SOT/RUL);
- Battery thermal management;
- Battery fault diagnosis;
- Battery smart charging technology;
- Sorting, regrouping, and echelon utilization of retired batteries;
- Artificial-intelligence-based battery management system.
Dr. Zhiqiang Lyu
Dr. Longxing Wu
Prof. Dr. Renjing Gao
Topic Editors
Keywords
- electric vehicles
- lithium-ion battery
- battery modeling and state estimation
- fault diagnosis
- artificial intelligence
Participating Journals
Journal Name | Impact Factor | CiteScore | Launched Year | First Decision (median) | APC |
---|---|---|---|---|---|
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Actuators
|
2.2 | 3.9 | 2012 | 17.7 Days | CHF 2400 |
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Batteries
|
4.6 | 4.0 | 2015 | 19.7 Days | CHF 2700 |
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Energies
|
3.0 | 6.2 | 2008 | 16.8 Days | CHF 2600 |
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Sustainability
|
3.3 | 6.8 | 2009 | 19.7 Days | CHF 2400 |
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Technologies
|
4.2 | 6.7 | 2013 | 21.1 Days | CHF 1600 |
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