本文選題：鋰離子電池　切入點：充電方法　出處：《北京工業(yè)大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著經(jīng)濟發(fā)展帶來的環(huán)境和資源問題日益突出，發(fā)展新能源電動汽車已成為汽車產(chǎn)業(yè)發(fā)展的必由之路。作為電動汽車動力源的電池，其性能直接影響電動汽車的性能。充電方法對電池壽命和電動汽車的推廣普及有很大影響，科學(xué)的充電方法，可以在不影響動力電池壽命的前提下縮短充電時間；同時，對鋰離子電池的健康狀態(tài)和壽命進行精確預(yù)測是保障動力電池系統(tǒng)可靠性的必要基礎(chǔ)，對動力電池的延壽維護具有重要的意義。 本文研究分析了鋰離子電池充電方法，包括恒流恒壓充電，脈沖充電，多階段恒流充電和急充電，分析了充電方法的評價指標(biāo)；以10Ah的磷酸鐵鋰軟包電池為實驗對象，比較分析了脈沖充電方法和恒流充電方法對充電效率的影響；并結(jié)合鋰離子電池的充電效率和溫升情況，提出了限時大電流充電的方法；以恒流恒壓充電方法為基礎(chǔ)，建立了適用于不同恒流倍率充電的統(tǒng)一充電模型，用于預(yù)測剩余充電時間。 動力電池壽命與充放電制度、使用溫度及電池材料等因素密切相關(guān)，其影響關(guān)系復(fù)雜。結(jié)合電池健康狀態(tài)SOH的內(nèi)阻定義法，本文以電池等效電模型為基礎(chǔ)，在電池充放電數(shù)據(jù)基礎(chǔ)上利用遞推最小二乘法對電池的內(nèi)阻進行參數(shù)辨識，用于對電池的健康狀態(tài)進行預(yù)測；結(jié)合電池健康程度的容量定義法和動力電池失效閾值的概念，基于電池多次循環(huán)的容量數(shù)據(jù)，分別用最小二乘曲線擬合和相關(guān)向量機(Relevance Vector Machine, RVM)的方法，，對鋰離子電池剩余循環(huán)壽命(Remaining Cycle Life, RCL)進行了回歸預(yù)測。兩種方法比較表明，相關(guān)向量機具有較強的局部預(yù)測能力，在前期數(shù)據(jù)足夠的情況下，預(yù)測電池壽命的精度更高。
[Abstract]:With the environmental and resource problems arising from economic development, the development of new energy electric vehicles has become the only way to the development of the automobile industry. Its performance directly affects the performance of electric vehicle. Charging method has great influence on battery life and popularization of electric vehicle. Scientific charging method can shorten charging time without affecting power battery life. It is necessary to predict the health status and lifetime of Li-ion batteries accurately, which is the necessary basis to ensure the reliability of power battery system, and it is of great significance to the maintenance of battery life extension. This paper studies and analyzes the charging methods of lithium ion battery, including constant current constant voltage charging, pulse charging, multistage constant current charging and rapid charging, and analyzes the evaluation indexes of the charging methods. The effects of pulse charging method and constant current charging method on charging efficiency are compared and analyzed, and combined with the charging efficiency and temperature rise of lithium ion battery, the method of limiting high current charging is put forward, which is based on constant current and constant voltage charging method. A unified charging model suitable for different constant current rate charging is established to predict the remaining charging time. The life of power battery is closely related to charge / discharge system, use temperature and battery material and so on, and its influence is complicated. Combined with the definition of internal resistance of SOH in healthy state of battery, this paper bases on the equivalent electric model of battery. Based on the battery charge and discharge data, the recursive least square method is used to identify the internal resistance of the battery, which is used to predict the battery health status, combining the capacity definition method of battery health degree and the concept of power battery failure threshold. Based on the capacity data of multiple cycles of the battery, the residual cycle life of lithium ion battery is predicted by using the least square curve fitting and the correlation vector machine (RVM) method, respectively. The residual cycle life of the lithium ion battery is also predicted by the regression analysis, and the comparison between the two methods shows that the residual cycle life of the lithium ion battery can be predicted by the method of the least square curve fitting and the correlation vector machine (RVM). Correlation vector machine has strong local prediction ability, and the precision of battery life prediction is higher when the data is sufficient.
【學(xué)位授予單位】：北京工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM912

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