FPGA-synthesizable Electrical Battery Cell Model for High Performance Real-time Algorithms

• Published in: Periodica polytechnica. Electrical engineering and computer science Vol. 60; no. 3; pp. 171 - 177
• Main Authors: Debreceni, Tibor, Szabó, Péter, Balázs, Gergely György, Varjasi, István
• Format: Journal Article
• Language: English
• Published: Budapest Periodica Polytechnica, Budapest University of Technology and Economics 15.08.2016
• ISSN: 2064-5260; 2064-5279
• DOI: 10.3311/PPee.9398

Modern battery management systems (BMS) for advanced battery energy storages are expected to provide sufficient and reliable State-of-Charge (SoC) and State-of-Health (SoH) information. Focusing also on mid- and long-term maintenance purposes, health monitoring can be realized only by using high performance real-time estimation algorithms involving online electrical battery cell model. Due to the nonlinear I-V characteristics of cells and multivariable nonlinear functions describing the model parameters, a real-time model synthesized to FPGA seems to be the best solution to fulfill also the strongest requirements of energy management and e-mobility applications in respect of scalability, modularity, accuracy and effectiveness. In this paper, an FPGA-synthesizable battery cell model is presented and proposed. The design approach is discussed from offline to online model design including the model considerations using MATLAB/Simulink®. The performance analysis and evaluation referenced to the offline model are presented and discussed.