Abstract

A capacity-based equalization method for active balancing is proposed to increase the usable capacity of aged lithium-ion batteries within a minimum of balancing effort. The main goal of the presented algorithm is to predict the equalization charge for each cell, which is needed to fully charge and discharge every cell of the battery in the next cycle. For this, State-Of-Charge (SOC) and State-Of-Health (SOH) of each cell must be determined. The predicted energy is balanced at the beginning of the cycle and further balancing is performed only if the parameters of the cells change. This ensures that the minimum possible balancing effort is achieved. To validate the performance of the proposed method, a simulation is carried out. For this purpose, a battery model and Battery Management System (BMS) model are built in Matlab/Simulink. The parameters of the simulated cells differ in capacity and initial SOC to imitate an aged battery. The simulation results verify that the developed balancing method can improve the usage of aged batteries compared to conventional methods. This algorithm for active balancing can be used in second life cases of battery systems.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.