- 學位論文
鋰離子電池電荷狀態估測（SoC）和健康狀況診斷（SoH）
Estimation of the State of Charge (SoC) and Diagnosis of the State of Health (SoH) for Li-ion Batteries
摘要
本研究針對鋰離子電池進行SoC和SoH估測進行實驗分析，歸納出電壓區間配合充放電容量變化的估測方法。在研究中使用20AH容量的老化電池與全新電池，分別進行0.2C、0.5C、0.7C、1C等C-rate進行充電和放電實驗。根據電壓、電流、電池內阻等參數，推斷電量估測及內阻估測等作為評估鋰電池老化的依據。過程中採用車規的ST測試開發板EVAL-L9663E-MCU進行電池資料蒐集，以及利用BIM-HV電池分析儀進行電池動態內阻響應量測。後續以Python進行實驗數據的特性分析、演算和研析，在分析過程中發現，鋰電池的充放電電壓曲線可以通過電壓斜率變化劃分為三個特徵段，從而定義老化參數，估計更準確的SoC值。最後以軟體模擬驗證其可行性，使理論和實務吻合，建立出能快速有效估測SoC和SoH的方法應用在產品上。
並列摘要
In this study, the experimental analysis of SoC and SoH estimation for lithium-ion batteries is carried out. The voltage range and charging-discharging capacity change was summarized to estimation. In the research, aged batteries and new batteries with a capacity of 20AH were used to conduct charging and discharging experiments at C-rates of 0.2C, 0.5C, 0.7C, and 1C. According to parameters such as voltage, current, and internal resistance of the battery, the estimation of power and internal resistance are inferred as the basis for evaluating the aging of lithium-ion batteries. In the process, the ST development board EVAL-L9663E-MCU is used to collect battery data, and the BIM-HV battery analyzer is used to measure the dynamic internal resistance response of the battery. Later, Python was used to analyze the characteristics of the experimental data. During the analysis process, it is found that the charging and discharge voltage curve of the lithium battery can be divided into three characteristic sections through the voltage slope change point, thereby defining the aging parameters to estimate that the SOC is close to accurate. Finally, the feasibility is verified by software simulation, so that the theory and practice are consistent, and a method that can effectively estimate SoC and SoH is established to apply to the product.