Estimating the residual range of motorcycles powered by lead acid batteries

Ying Shing Shiao; Ding Tsair Su; Rong Wen Huang

doi:10.1109/ICIAS.2007.4658517

Estimating the residual range of motorcycles powered by lead acid batteries

Ying Shing Shiao, Ding Tsair Su, Rong Wen Huang

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

This paper investigates estimation of the state-of-charge in lead-acid batteries for battery powered motorcycles. The electrochemical resistance variations in the electrolyte concentrations are estimated for the state-of-charge. This is a real time approach that can be implemented using a digital signal processor. In these experiments, the lead acid batteries were charged and discharged using different procedures to obtain the variations in the charge and resistance profiles to analyze the accuracy of the proposed methods for estimation the capacitances and residue energies.

Original language	English
Title of host publication	2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007
Pages	901-905
Number of pages	5
DOIs	https://doi.org/10.1109/ICIAS.2007.4658517
Publication status	Published - 2007 Dec 1
Event	2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007 - Kuala Lumpur, Malaysia Duration: 2007 Nov 25 → 2007 Nov 28

Other

Other	2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007
Country	Malaysia
City	Kuala Lumpur
Period	07-11-25 → 07-11-28

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Control and Systems Engineering

Access to Document

10.1109/ICIAS.2007.4658517

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Cite this

Shiao, Y. S., Su, D. T., & Huang, R. W. (2007). Estimating the residual range of motorcycles powered by lead acid batteries. In 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007 (pp. 901-905). [4658517] https://doi.org/10.1109/ICIAS.2007.4658517

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abstract = "This paper investigates estimation of the state-of-charge in lead-acid batteries for battery powered motorcycles. The electrochemical resistance variations in the electrolyte concentrations are estimated for the state-of-charge. This is a real time approach that can be implemented using a digital signal processor. In these experiments, the lead acid batteries were charged and discharged using different procedures to obtain the variations in the charge and resistance profiles to analyze the accuracy of the proposed methods for estimation the capacitances and residue energies.",

author = "Shiao, {Ying Shing} and Su, {Ding Tsair} and Huang, {Rong Wen}",

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Shiao, YS, Su, DT & Huang, RW 2007, Estimating the residual range of motorcycles powered by lead acid batteries. in 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007., 4658517, pp. 901-905, 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007, Kuala Lumpur, Malaysia, 07-11-25. https://doi.org/10.1109/ICIAS.2007.4658517

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N2 - This paper investigates estimation of the state-of-charge in lead-acid batteries for battery powered motorcycles. The electrochemical resistance variations in the electrolyte concentrations are estimated for the state-of-charge. This is a real time approach that can be implemented using a digital signal processor. In these experiments, the lead acid batteries were charged and discharged using different procedures to obtain the variations in the charge and resistance profiles to analyze the accuracy of the proposed methods for estimation the capacitances and residue energies.

AB - This paper investigates estimation of the state-of-charge in lead-acid batteries for battery powered motorcycles. The electrochemical resistance variations in the electrolyte concentrations are estimated for the state-of-charge. This is a real time approach that can be implemented using a digital signal processor. In these experiments, the lead acid batteries were charged and discharged using different procedures to obtain the variations in the charge and resistance profiles to analyze the accuracy of the proposed methods for estimation the capacitances and residue energies.

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