本文選題：鋰離子電池 + 自放電��； 參考：《哈爾濱理工大學(xué)》2014年碩士論文

【摘要】：隨著全球能源緊缺的加劇，新能源產(chǎn)業(yè)悄然興起，具有較好應(yīng)用前景的二次電池技術(shù)被爭相研究。鋰離子電池因其本身無污染、比能量高、循環(huán)壽命長等特性被廣泛應(yīng)用在各種儀表和電動汽車上作為能源系統(tǒng)。而鋰電池自放電現(xiàn)象的存在不僅造成電池本身能量的損失，還會因各電池間自放電的不一致性導(dǎo)致鋰電池組壽命減少，容量迅速衰減，引起電池管理系統(tǒng)(BMS)對電池荷電狀態(tài)(SOC)的預(yù)測出現(xiàn)較大誤差，電動車控制策略失效，致使電動車電池系統(tǒng)出現(xiàn)過放電的情況。因此，對電池自放電的快速測量具有重要意義。 由于自放電發(fā)生在電池內(nèi)部，現(xiàn)有測量手段不能對其直接檢測，這就使電池的自放電檢測難度變大。依據(jù)自放電定義，通過長時(shí)間的開路擱置可以實(shí)現(xiàn)對電池自放電的檢測，不過時(shí)間周期過長，且不能體現(xiàn)快速性和實(shí)時(shí)性，同時(shí)常規(guī)方法也不能實(shí)現(xiàn)對自放電的精確測量�；谏鲜鰡栴}，本文以間接測量作為指導(dǎo)思想，設(shè)計(jì)自放電檢測系統(tǒng)，以實(shí)現(xiàn)對電池自放電的快速、精確測量。系統(tǒng)采用數(shù)字控制技術(shù)，，以MSP430F149單片機(jī)為核心控制器，控制DAC1220D/A轉(zhuǎn)換器輸出高精度的電壓，作為檢測電路的基準(zhǔn)電壓，最終得到該電壓時(shí)電池的自放電電流。并設(shè)計(jì)了開路擱置實(shí)驗(yàn)和自放電檢測系統(tǒng)測量實(shí)驗(yàn)，通過實(shí)驗(yàn)結(jié)果對比，驗(yàn)證本系統(tǒng)具有對于自放電測量的可靠性、精確性和快速性。 在此基礎(chǔ)上本文進(jìn)一步研究了自放電對電池SOC預(yù)測的影響，通過建立自放電流Map模型，實(shí)現(xiàn)了自放電電流對基于擴(kuò)展卡爾曼濾波(EKF)算法的電池SOC估算初值的修正。設(shè)計(jì)模擬工況實(shí)驗(yàn)，驗(yàn)證了該修正方法可以提高EKF估算電池SOC的準(zhǔn)確度，進(jìn)而能夠改善BMS預(yù)測電池SOC的精度。
[Abstract]:With the aggravation of the global energy shortage, the new energy industry rises quietly, and the secondary battery technology, which has good application prospect, has been studied. Li-ion batteries are widely used as energy systems in various instruments and electric vehicles because of their characteristics of non-pollution, high specific energy, long cycle life and so on. The existence of self-discharge phenomenon of lithium battery not only causes the energy loss of the battery itself, but also reduces the Lithium battery life and decreases the capacity because of the inconsistency of self-discharge between the batteries. The battery management system (BMS) has caused a large error in the prediction of the state of charge (SOC) of the battery and the failure of the control strategy of the electric vehicle (EV), which leads to the over-discharge of the battery system of the electric vehicle (EV). Therefore, the rapid measurement of self-discharge is of great significance. Since the self-discharge occurs inside the battery, the existing measurement methods can not directly detect it, which makes it more difficult to detect the self-discharge of the battery. According to the definition of self-discharge, the detection of self-discharge of battery can be realized by using open circuit for a long time, but the time period is too long, and it can not reflect the rapidity and real-time performance. At the same time, the conventional method can not realize the accurate measurement of self-discharge. Based on the above problems, this paper designs a self-discharge detection system based on indirect measurement, so as to realize the rapid and accurate measurement of battery self-discharge. The system adopts digital control technology and MSP430F149 single chip microcomputer as the core controller to control the DAC1220D / A converter output high-precision voltage, as the reference voltage of the detection circuit, and finally get the self-discharge current of the battery. The open circuit shelving experiment and the measurement experiment of self-discharge detection system are designed. By comparing the experimental results, it is verified that the system has the reliability, accuracy and rapidity for the self-discharge measurement. On this basis, the effect of self-discharge on SOC prediction is further studied in this paper. By establishing a map model of self-discharge current, the correction of self-discharge current to the initial value of SOC estimation based on extended Kalman filter (EKF) algorithm is realized. Simulation experiments were designed to verify that the modified method can improve the accuracy of EKF estimation of battery SOC and then improve the accuracy of BMS prediction of battery SOC.
【學(xué)位授予單位】：哈爾濱理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM912

【引證文獻(xiàn)】

相關(guān)博士學(xué)位論文 前1條

1 武國良;電動汽車用鎳氫電池剩余電量估計(jì)方法研究[D];哈爾濱工業(yè)大學(xué);2010年

本文編號：2099055