Abstract
This paper describes the model-based development and validation of a flexible scalable battery management system (BMS) for lithium-ion batteries (LiFePO 4 ) using a verification-oriented development methodology. The BMS consists of a central control unit and decentral cell modules. It measures voltages, currents and temperatures to ensure safe and slow aging operating states. Furthermore, appropriate algorithms estimate the state of charge and predict the maximum battery power in a defined prediction horizon Δt, based on the measurement data. The entire capacity of the production-related slightly differing battery cells can be optimally used by using passive or active load balancing methods which equalize the cell charging levels. The BMS also has a CAN interface for integration into a vehicle ECU network. The development of an Extended Kalman Filter (EKF) as a state of charge (SOC) estimator will be shown as an example for the model-based design process.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
