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Available Power and Energy Prediction Using a Simplified Circuit Model of HEV Li-ion Battery
Technical Paper
2010-01-1074
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Due to aging of a battery over lifetime, the rated power and nominal energy capacity will be reduced compared with the initial rated power and capacity. These result in influences on the vehicle driving performance and fuel economy. To monitor and diagnose the aging of the battery, in this paper, the method of predicting the available rated power and energy capacity of Li-ion battery under in-vehicle condition is proposed. Under constant power test, available power is calculated from the estimated parameters using recursive least square method. Further, available energy capacity is evaluated through SOH(cn) defined by the ratio of initial state-of-charge (SOC) variation to present SOC (\GdSOC
ⁿ
/ΔSOC
ⁿ
) variation under arbitrary in-vehicle driving cycles. To verify the proposed method, experiments for aging Li-ion battery are performed in hybrid electric vehicle.
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Citation
Heo, S., Kang, G., and Kim, H., "Available Power and Energy Prediction Using a Simplified Circuit Model of HEV Li-ion Battery," SAE Technical Paper 2010-01-1074, 2010, https://doi.org/10.4271/2010-01-1074.Also In
References
- Gallego, F. Bigorra, J. Seguer, M. Sanchez, F.J. et al. “In-vehicle and Lab Tests of State-of-Power Monitoring System for Automotive Batteries,” SAE Technical Paper 2001-01-3344 2001
- Buller S. “Impedance-Based Simulation Models for Energy Storage Devices in Advanced Automotive Power Systems” RWTH Aachen 3-8322-1225-6 2002
- Plett G. L. “Extended Kalman Filtering for Battery Management Systems of LiPB-based HEV Battery Packs, Part 2. Modeling and Identification” J. Power Sources 134 262 276 2004
- Schweighofer B. Raab K. M. Brasseur G. “Modeling of High Power Automotive Batteries by the Use of an Automated Test System” IEEE Transactions on Instrumentation and Measurement 52 4 1087 1091 2003
- Chen M. Rincon-Mora G. A. “Accurate Electrical Battery Model Capable of Predicting Runtime and I-V Performance” IEEE Trans. on Energy Conversion 21 2 504 511 2006
- Gao L. Liu S. “Dynamic Lithium-Ion Battery Model for System Simulation” IEEE Trans. on Components and Packaging Technologies 25 32 495 505 2002
- Franklin G. F. Powell J. D. “Digital Control od Dynamic Systems” 0-201-02891-3 1980
- Davis E. Funk D. Johnson W. “Internal ohmic measurements and their relationship to battery capacity: EPRI's ongoing technology evaluation,” Battcon 2002 12-1 12-10
- Garche; A. Jossen Doring H. “The influence of different operating condition, especially over-discharge, on the lifetime and performance of lead acid batteries for photovoltaic systems,” Journal of Power Sources 67 1-2 1997 201 212