Design fuzzy SOC estimation for sealed lead-acid batteries of electric vehicles in reflex™

Te Wei Wang, Ming Ji Yang, Kuo Kai Shyu, Ching Ming Lai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

This paper proposes a fuzzy state-of-charge (SOC) estimation for Reflex™ battery charging, which allows rapid and efficient charging for sealed lead-acid batteries used in electric vehicles. The proposed SOC estimation can avoid undercharging or overcharging. Overcharge in particular can shorten a battery's lifetime. The charging control and the SOC estimation are based on fuzzy theorem and they are implemented by a digital signal controller (dsPIC30F4011). The battery's SOC is estimated while the system was charging the battery and the estimated error is maintained within an acceptable range (±5%). Moreover, this system used a method of equivalent internal resistance to calculate the internal resistance of the batteries. During the Reflex™ charging, the controller can self-tune the discharging time according to the internal resistances, which reduces the thermal rises and the lifetimes for the batteries. Finally, experimental results are provided to verify the performance of the system and the feasibility of the proposed SOC estimation in this paper.

Original languageEnglish
Title of host publication2007 IEEE International Symposium on Industrial Electronics, ISIE 2007, Proceedings
Pages95-99
Number of pages5
DOIs
StatePublished - 2007
Event2007 IEEE International Symposium on Industrial Electronics, ISIE 2007 - Caixanova - Vigo, Spain
Duration: 4 Jun 20077 Jun 2007

Publication series

NameIEEE International Symposium on Industrial Electronics

Conference

Conference2007 IEEE International Symposium on Industrial Electronics, ISIE 2007
Country/TerritorySpain
CityCaixanova - Vigo
Period4/06/077/06/07

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