|Author's Email Address
||This thesis had been viewed 5569 times. Download 2237 times.|
|Type of Document
||State-of-Charge Estimation Method for LiFePO4|
Electric Vehicle Batteries
|Date of Defense
||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.
||Rong-Ceng Leou - chair|
Tzung-Lin Lee - co-chair
Jen-Hao Teng - co-chair
Chan-Nan Lu - advisor
Indicate in-campus at 0 year and off-campus access at 2 year.|
|Date of Submission