کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1283571 1497910 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Active model-based balancing strategy for self-reconfigurable batteries
ترجمه فارسی عنوان
استراتژی متعادل سازی مبتنی بر مدل فعال برای باتری های خود قابل تنظیم
کلمات کلیدی
باتری خود قابل تنظیم، بهینه سازی شبکه، تعادل سلول فعال، مقادیر انرژی، باتری لیتیوم یون، وسایل نقلیه الکتریکی
موضوعات مرتبط
مهندسی و علوم پایه شیمی الکتروشیمی
چکیده انگلیسی


• Cell balancing in a self-reconfigurable battery is formulated as network optimization.
• Investigation of the dynamic programming techniques to solve the optimization problem.
• Battery simulations are performed based on battery model by different input parameters.
• The performance of the proposed balancing strategy is proofed.

This paper describes a novel balancing strategy for self-reconfigurable batteries where the discharge and charge rates of each cell can be controlled. While much effort has been focused on improving the hardware architecture of self-reconfigurable batteries, energy equalization algorithms have not been systematically optimized in terms of maximizing the efficiency of the balancing system. Our approach includes aspects of such optimization theory. We develop a balancing strategy for optimal control of the discharge rate of battery cells. We first formulate the cell balancing as a nonlinear optimal control problem, which is modeled afterward as a network program. Using dynamic programming techniques and MATLAB’s vectorization feature, we solve the optimal control problem by generating the optimal battery operation policy for a given drive cycle. The simulation results show that the proposed strategy efficiently balances the cells over the life of the battery, an obvious advantage that is absent in the other conventional approaches. Our algorithm is shown to be robust when tested against different influencing parameters varying over wide spectrum on different drive cycles. Furthermore, due to the little computation time and the proved low sensitivity to the inaccurate power predictions, our strategy can be integrated in a real-time system.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Power Sources - Volume 322, 1 August 2016, Pages 129–137
نویسندگان
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