A novel fusion model based online state of power estimation method for lithium-ion capacitor. (April 2021)

• Record Type: Journal Article
• Authors: Chen, Wenxin; Xu, Cheng; Chen, Manlin; Jiang, Kai; Wang, Kangli
• Is Part Of: Journal of energy storage. Volume 36(2021)
• Publication Date: 2021-04
• Subjects: Lithium-ion capacitor -- Multi-model fusion equivalent circuit model -- Akaike information criterion -- Forgetting factor recursive extended least squares -- State of power estimation; Energy storage -- Periodicals; Energy storage -- Research -- Periodicals; 621.3126
• DOI: 10.1016/j.est.2021.102387
• Languages: English
• ISSNs: 2352-152X

Abstract

Highlights: A novel multi-model fusion equivalent circuit model is proposed for LIC. AIC is utilized to determine the optimal model. Model parameters are identified online using FFRELS algorithm. An online SOP estimation algorithm is developed based on the proposed model. The proposed algorithm is validated under different working conditions. Abstract: Lithium-ion capacitors (LICs) show promising applications in renewable energy integration and transportation electrification, due to their excellent performance in terms of energy density, power density and cycle life. Modeling and state of power (SOP) estimation are the keys to exploit advantages of LICs. Unlike electrochemical double-layer capacitors (EDLCs) and lithium-ion batteries (LIBs), LICs involve both insertion/desertion and adsorption/desorption reactions. To better describe the behavior of LICs, we propose a novel multi-model fusion equivalent circuit model (MMF-ECM). The order of the model is determined by the Akaike information criterion (AIC). Moreover, the forgetting factor recursive extended least squares (FFRELS) algorithm is adopted to identify the model parameters online. On this basis, a model-based online SOP estimation algorithm is developed, considering voltage and current limits. The simulation and experimental results validate the accuracy and reliability of the proposed algorithm.