首頁 > 網路資源 > 大同大學數位論文系統

Title page for etd-0827114-121808


URN etd-0827114-121808 Statistics This thesis had been viewed 957 times. Download 0 times.
Author Min-Hsuan Hung
Author's Email Address No Public.
Department Electrical Engineering
Year 2013 Semester 2
Degree Ph.D. Type of Document Doctoral Dissertation
Language zh-TW.Big5 Chinese Page Count 132
Title Estimation Technique of State-of-Charge and State-of-Health Based on Dynamic Impedance and Applications for LiFePO4 Charger
Keyword
  • state-of-health (SOH)
  • battery management system (BMS)
  • digital control
  • charger
  • state-of-charge (SOC)
  • phase-shift full-bridge converter
  • intelligent charging
  • real-time estimation
  • real-time estimation
  • intelligent charging
  • phase-shift full-bridge converter
  • state-of-charge (SOC)
  • charger
  • digital control
  • battery management system (BMS)
  • state-of-health (SOH)
  • Abstract This dissertation proposes a dynamic impedance method and a projection method to respectively estimate the state-of-charge (SOC) and the state-of-health (SOH) of batteries. For the proposed methods, we defined the ratio between the changes in voltage and the changes in current during the charging and discharging processes of battery modules as the dynamic impedance, which further served as the basis to calculate the SOC of the battery. The proposed techniques do not require initial values, and the proposed dynamic impedance can better reflect the true electrical characteristics of batteries than conventional estimation methods. Furthermore, real-time calculations can be achieved using the proposed techniques. The SOH of batteries degenerates as the batteries age, which also changes the characteristics of the dynamic impedance. The projection method thus determines the SOH based on the rate of change in dynamic impedance with respect to the SOC. In this dissertation, the principle of the proposed techniques is detailed. And the mathematic model is also discussed in detail. Finally, all the experimental results agree with the theoretical predictions.
    In order to use the proposed technique for some applications, we developed two SOC and SOH real-time estimation systems with different structures. The microcontroller is used to be the control core of the systems. Besides, they also combined with the battery management system (BMS) and the detection circuit to capture the data from the batteries, respectively. Furthermore, the proposed estimation technique was adopted into the developed systems to implement the real-time estimation feature. Moreover, an on-board LiFePO4 charger based on digital control incorporating with the proposed estimation technique is also implemented in this dissertation. Therefore, the microcontroller will calculate the corresponding charging current depends on the initial SOC and the selected charging mode when battery is charging. Finally, the hardware structures of the implemented systems are detailed in this dissertation. And the complete design considerations and algorithm are also described in detail. And then, the results of experiments verify the accuracy and feasibility of the proposed systems.
    Advisor Committee
  • Chang-Hua Lin - advisor
  • Files indicate not accessible
    Date of Defense 2014-07-24 Date of Submission 2014-08-27


    Browse | Search All Available ETDs