Offline State-of-Health Estimation for High-Power Lithium-Ion Batteries Using Three-Point Impedance Extraction Method
| Autor: | Hsiang-Fu Yuan, Lan-Rong Dung |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Materials science
Computer Networks and Communications Lithium iron phosphate 020208 electrical & electronic engineering Time constant Aerospace Engineering chemistry.chemical_element 020302 automobile design & engineering 02 engineering and technology Capacitance Lithium battery chemistry.chemical_compound 0203 mechanical engineering Electrical resistance and conductance chemistry Automotive Engineering 0202 electrical engineering electronic engineering information engineering Electronic engineering Equivalent circuit Lithium Electrical and Electronic Engineering Electrical impedance |
| Zdroj: | IEEE Transactions on Vehicular Technology. 66:2019-2032 |
| ISSN: | 1939-9359 0018-9545 |
| DOI: | 10.1109/tvt.2016.2572163 |
| Popis: | This paper presents an offline state-of-health (SoH) estimation based on charge transfer resistance for high-power lithium-ion (Li-ion) batteries, such as lithium iron phosphate (LFP) batteries. As shown in the experimental results, the charge transfer resistance has a great aging change with battery degradation and good abilities against state-of-charge (SoC) drift and external resistance variation in the impedance parameter set of a single-time-constant equivalent circuit model (ECM), including ohmic resistance, charge transfer resistance, double-layer capacitance, and time constant, for SoH estimation. A fast and efficient three-point (TP) impedance extraction method is also proposed in this paper for accurately extracting the charge transfer resistance in offline SoH estimation. The results of long-term cycling test demonstrate that the TP impedance extraction method can successfully indicate the SoH of LFP batteries with low estimation error of 6.1%. |
| Databáze: | OpenAIRE |
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