以卡曼濾波計算鋰電池之電量狀態

本論文利用卡曼濾波器執行鋰離子電池充放電中的電量狀態估測，利用鋰離子電化學動態特性將電極假設為單一球型粒子模型，進而得到電極的表面濃度，再將此表面濃度透過開路電壓方程式來計算電池的電壓及電量狀態。本論文提供非線性的無跡卡濾波及線性卡漫濾波之鋰離子電池電量狀態估測的運算法則,並在MATLAB環境上執行穩定電流及非穩定電流充放電過程中的電壓及電量狀態估測,最後再加入隨機雜訊執行充放電之電量估測,驗證此電量估測法則的可行性。

關鍵字

卡曼濾波；電池電量狀態；電化學電池模型

並列摘要

This research investigates the state-of-charge (SOC) estimation of Li-ion battery using Kalman filters. The dynamic model for the SOC estimation process is constructed based on a single spherical particle electrochemical model. The surface concentration of the positive electrode is obtained first. The battery voltage and SOC estimations are computed accordingly using the Li-ion battery electrochemical model. The nonlinear unscented Kalman filter and linear Kalman filter based SOC estimation algorithms are discussed in the thesis. The results for battery charging/discharging processes using constant and varying currents with random noises are included in the thesis.

並列關鍵字

Kalman filter ； state of charge ； Lithium Battery Based-on Electrochemical Model

參考文獻

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[8] 馬阡蔚，以電化學模式為核心之鋰電池充電流程模擬與分析，淡江大學碩士論文，民國101年6月

[18] 王奕強，非線性卡曼濾波器於飛行姿態計算之研究，淡江大學碩士論文，民國100年6月

[2] Shriram Santhanagopalan and Ralph E. White, “State of charge estimation using an unscented filter for high power lithium ion cells”, Int. J. Energy Res. 2010; 34:152–163.

[3] Long Cai and Ralph E. White, “Reduction of Model Order Based on Proper Orthogonal Decomposition for Lithium-Ion Battery Simulations”, The Electro-

國際替代計量

以卡曼濾波計算鋰電池之電量狀態

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