Title page for etd-0911112-134700


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URN etd-0911112-134700
Author Kai-Jui Chen
Author's Email Address No Public.
Statistics This thesis had been viewed 5353 times. Download 2067 times.
Department Electrical Engineering
Year 2011
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title State-of-Charge Estimation Method for LiFePO4
Electric Vehicle Batteries
Date of Defense 2012-08-29
Page Count 133
Keyword
  • LiFePO4 batteries
  • State-of-Charge estimation
  • Abstract Battery is the sole electrical energy source when electric vehicle(EV) is moving.
    To reduce traveling anxiety, an effective energy management system to indicate the state-of-charge (SOC) of the battery and make a balance between vehicle performance and endurance is very important. This research is aimed to develop a SOC estimation system with high accuracy. The proposed method in this thesis is based on under load voltage and multilevel Peukert's equation to estimate the SOC.
    The proposed method is compared with the open circuit voltage method for initial SOC estimation and with coulometric method for cumulative SOC estimation under various EV driving conditions simulated by an adjustable electronics load. Experimental results indicate that the proposed method can provide reasonable accuracy as compared with other tested methods for LiFePO4 battery SOC estimations.
    Advisory Committee
  • Rong-Ceng Leou - chair
  • Tzung-Lin Lee - co-chair
  • Jen-Hao Teng - co-chair
  • Chan-Nan Lu - advisor
  • Files
  • etd-0911112-134700.pdf
  • Indicate in-campus at 0 year and off-campus access at 2 year.
    Date of Submission 2012-09-11

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