本文關(guān)鍵詞： 鋰電池 SOC 卡爾曼濾波 強(qiáng)跟蹤濾波器　出處：《天津大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：鋰離子電池作為一種新型能源形式，具有體積小、自放電率小、倍率放電性能好、綠色環(huán)保等一系列優(yōu)點(diǎn)得到社會(huì)各界的認(rèn)可和重視，被廣泛應(yīng)用于數(shù)碼產(chǎn)品、電動(dòng)汽車、軍事、航天航空、儲(chǔ)能等各個(gè)領(lǐng)域。穩(wěn)定可靠的BMS能夠提高鋰離子電池的循環(huán)使用壽命、安全性、可靠性并節(jié)約成本。而準(zhǔn)確估算電池的SOC值是BMS中最基本最重要的一個(gè)環(huán)節(jié)。 論文以天津某公司的太陽(yáng)能路燈控制器為研究對(duì)象，建立了錳酸鋰電池的二階RC電池模型。通過大量放電-靜置實(shí)驗(yàn)，對(duì)電池模型參數(shù)進(jìn)行了辨識(shí)。在對(duì)常用的SOC算法分析的基礎(chǔ)上，根據(jù)鋰離子電池系統(tǒng)的特點(diǎn)及項(xiàng)目對(duì)SOC估算精度的要求，采用了ST EKF算法對(duì)電池的SOC進(jìn)行估算，與其它算法相比，STEKF算法估算誤差較小，精度較高，，滿足項(xiàng)目對(duì)精度的要求。 搭建了基于DSP芯片的SOC實(shí)驗(yàn)系統(tǒng)，給出了各個(gè)功能模塊的軟件設(shè)計(jì)流程。最后對(duì)實(shí)際硬件系統(tǒng)進(jìn)行測(cè)試，表明系統(tǒng)運(yùn)行良好。
[Abstract]:As a new energy form, Li-ion battery has a series of advantages, such as small volume, small self-discharge rate, good discharge performance, green environmental protection and so on. It has been widely used in digital products. Electric vehicles, military, aerospace, energy storage and other fields. Stable and reliable BMS can improve the cycle life and safety of Li-ion batteries. Reliability and cost saving, and accurate estimation of battery SOC is the most basic and most important link in BMS. In this paper, the second-order RC battery model of LiMnO _ 4 battery is established with the solar lamp controller of a company in Tianjin as the research object, and a large number of discharge-static experiments are carried out. The parameters of the battery model are identified. Based on the analysis of the commonly used SOC algorithm, according to the characteristics of the lithium-ion battery system and the requirements for the accuracy of SOC estimation. The STEKF algorithm is used to estimate the SOC of the battery. Compared with other algorithms, the estimation error of the algorithm is smaller and the accuracy is higher. The SOC experimental system based on DSP chip is built, and the software design flow of each functional module is given. Finally, the actual hardware system is tested, which shows that the system is running well.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM912

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 李德東;王振臣;郭小星;;基于模糊卡爾曼濾波的HEV氫鎳電池SOC估計(jì)[J];電源技術(shù);2011年02期

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