Health-Aware Multiobjective Optimal Charging Strategy With Coupled Electrochemical-Thermal-Aging Model for Lithium-Ion Battery
| Autor: | Chong Zhu, Bangjun Guo, Yizhao Gao, Xi Zhang, Jochen Wiedemann, Lin Wang, Jianhua Cao |
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| Rok vydání: | 2020 |
| Předmět: |
Battery (electricity)
Computer science 020208 electrical & electronic engineering Process (computing) Thermal aging 02 engineering and technology Electrolyte Automotive engineering Lithium-ion battery Computer Science Applications Hardware_GENERAL Control and Systems Engineering 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Information Systems |
| Zdroj: | IEEE Transactions on Industrial Informatics. 16:3417-3429 |
| ISSN: | 1941-0050 1551-3203 |
| Popis: | Battery fast charging strategies have gained an increasing interest toward the convenience of battery applications but may unduly degrade or damage the batteries. To harness these competing objectives, including safety, lifespan, and charging time, in this article, we propose a novel health-aware multiobjective optimal charging strategy to simultaneously shorten the charging time and relieve the battery degradation. The multiobjective optimal charging problem is formulated based on a coupled electrochemical-thermal-aging battery model. Constraints are explicitly imposed on physically meaningful state variables to avoid hazardous operations. Charging duration and battery aging process are well traded-off. Strategies for minimum-time and health-aware fast charging are investigated using different input current bounds, subject to both side reaction and temperature constraints. The experimental results validate that the presented multiobjective health-aware optimal charging algorithm is capable of reducing the charging time from its benchmarks largely without sacrificing the state-of-health of the battery. |
| Databáze: | OpenAIRE |
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