Journal
APPLIED ENERGY
Volume 314, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2022.118878
Keywords
Lithium-ion battery charging; Multi-objective optimization; User involvement; Economic cost optimization
Categories
Funding
- National Natural Science Founda-tion of China [61903189]
- Fundamental Research Funds for the Central Universities, China [NS2021023]
- China Postdoctoral Science Foundation, China [2020M681589]
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In this work, a multi-objective optimal charging control strategy is proposed, which intelligently adjusts the charging current according to user demand and electricity price, achieving both charging requirements and saving electricity costs and energy loss.
Effective lithium-ion battery charging plays an essential role in promoting the development of electrified transportation. In this work, based on a coupled electrothermal model, an optimal charging control strategy is proposed by formulating a multi-objective optimization problem with comprehensively taking into account the user demand realization, economic cost optimization, energy loss reduction, and safety-related constraints. Next, the barrier method is employed to solve it to obtain the optimal charging current. This work highlights the superiorities of the multi-objective optimal charging approach that can intelligently adjust the charging current according to the user demand and peak-valley time-of-use electricity price, which can not only accomplish the user charging demand but also bring the benefit of less electricity fee and energy loss, thus alleviating the financial burden of users. At last, extensive simulation and experimental results validate the effectiveness of the designed multi-objective optimal charging control method.
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