Battery loss assessment and energy storage capacity configuration strategy considering real-time SOC and dynamic cycling efficiency

被引：0
作者：
Huang Y. [1 ]
Feng Z. [1 ]
Sui Q. [1 ]
Wu C. [1 ]
Xu A. [1 ]
Lin X. [1 ]
机构：
[1] State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2022年 / 43卷 / 11期
关键词：
Battery; Degradation; Energy storage; Nonlinear programming; Rolling McCormick relaxation;
D O I：
10.19912/j.0254-0096.tynxb.2021-0546
中图分类号：
学科分类号：
摘要：
The paper proposes a high-precision battery life loss assessment model, which can fully exploit the effective information in the data provided by manufacturers to establish the mapping relationship between dynamic cycle efficiency, depth of discharge(DOD) and real-time state of charge (SOC), and other factors. Meanwhile, an optimal algorithm based on the rolling McCormick relaxation method is proposed for the nonlinear terms introduced by the adoption of a more refined energy storage model. The algorithm can transform the original nonlinear programming problem containing mixed integers into a mixed integer linear programming problem, so as to realize the numerical solution of the optimization problem. Finally, the rationality and superiority of the refined battery life model and the rolling McCormick optimal algorithm proposed in this paper are demonstrated by simulation results. © 2022, Solar Energy Periodical Office Co., Ltd. All right reserved.
引用
收藏
页码：413 / 423
页数：10
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