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Experimental Analysis of Lead Acid Batteries for Estimating State of Charge and State of Health
Technical Paper
2013-01-2742
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Batteries have become increasingly important in automotives with increase in vehicle electrical loads. Therefore the reliability of battery is a critical issue in automotive applications. It has been noticed that most batteries have limited cycle durability, that is, the total capacity drops when a battery is charged and discharged for a number of cycles. If a battery is too weak to offer sufficient energy, it should be replaced at the right time. But current problem is that there is no reliable method to quantify the capacity loss and to estimate the remaining capacity of battery. Complete discharge, which is the only way of capacity estimation, which will effect the battery plates therefore it cannot be used too frequently.
This paper summarizes the experimental work in the development of the battery status estimation algorithm. The experimental work contains the battery parameterization of Lead acid batteries with different State of Charge, State of Health and in lower temperature (than room temperature) by applying worst case load in a vehicle.
These experimental results can be used to estimate the status of lead acid battery.
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Authors
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Citation
Sriniwas, A., Katyamandali, H., Jarubula, P., Nandagopalan, C. et al., "Experimental Analysis of Lead Acid Batteries for Estimating State of Charge and State of Health," SAE Technical Paper 2013-01-2742, 2013, https://doi.org/10.4271/2013-01-2742.Also In
References
- Coleman Martin , Lee Chi Kwan , Zhu Chumbo , and Hurley William Gerard State of charge Determination from EMF voltage Estimation: Using Impedance, Terminal Voltage, and Current for Lead acid and Lithium-Ion Batteries IEEE Transactions on Industrial Electronics 54 5 2550 2557 October 2007
- Chalasani . S. Bose C. and Laman F. C. The Proceedings of the 22 nd International Telecommunications Energy Conference (INTELEC 2000) 597 601
- Grube Ryan J Automotive battery State of health monitoring methods Thesis submitted Department of Electrical Engineering, Wright State University 2008