Li-ion Battery Digital Twin Based on Online Impedance Estimation
- Resource Type
- Conference
- Authors
- Kulkarni, Abhijit; Sorouri, Hoda; Zheng, Yusheng; Sui, Xin; Oshnoei, Arman; Weinreich, Nicolai Andre; Teodorescu, Remus
- Source
- 2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) Compatibility, Power Electronics and Power Engineering (CPE-POWERENG), 2023 IEEE 17th International Conference on. :1-6 Jun, 2023
- Subject
- Power, Energy and Industry Applications
Temperature sensors
Lithium-ion batteries
Power engineering
Voltage
Switches
Predictive models
Power electronics
Smart battery
digital twin
health management.
- Language
- ISSN
- 2166-9546
The battery digital twin (BDT) is a modern tool that will be used in future intelligent battery management systems (BMS) for Li-Ion batteries (LIB) due to the transition of current technology toward Smart Battery (SB) with information and power processing capability at cell level. The BDT can predict the voltage output based on an impedance model at a given temperature and aging condition and this information can be used for advanced state estimation including sensorless state of temperature (SoT), state of health (SoH) and health management. This paper proposes an online impedance estimation method suitable for the smart battery system which includes a bypass device that can be switched to excite the battery impedance with different frequencies and minimum impact on the load. The performance of the proposed impedance model used in the BDT is compared experimentally in terms of accuracy of the voltage response to dynamic current profiles.