Estimation of Real-Time Peak Power Capability of a Traction Battery Pack Used in an HEV
- Resource Type
- Conference
- Authors
- Zhang, Cai-ping; Zhang, Cheng-ning; Sharkh, S. M.
- Source
- 2010 Asia-Pacific Power and Energy Engineering Conference Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific. :1-6 Mar, 2010
- Subject
- Geoscience
Nuclear Engineering
Power, Energy and Industry Applications
Batteries
Hybrid electric vehicles
Voltage
Life estimation
Power engineering and energy
Vehicle dynamics
Lifetime estimation
Automotive engineering
Power system modeling
Laboratories
- Language
- ISSN
- 2157-4839
2157-4847
Battery peak power capability estimation has an important theoretical significance and utility value for proper use of a battery and to help extend its lifetime. It is an important part of a battery management system. The paper presents an algorithm for estimating the dynamic peak power capability of a battery pack. The algorithm is based on a dynamic battery model taking into consideration constraints of rated, current, voltage and state of charge. The suitability of alternative equivalent circuit models for lithium-ion batteries was also analyzed. It is shown that using Thevenin's model, the estimation algorithm could compute the dynamic battery peak power in real-time and could provide real-time estimates of the charged and discharged power in an electric vehicle so that the battery may be used within its safe operating limits.