【摘要】：汽車的能源問題已經(jīng)是我國追求節(jié)能環(huán)保和緩解資源緊張所亟待解決的問題。經(jīng)過大量研究人員的不懈努力,電動汽車的主要動力元件從早期的鉛蓄電池發(fā)展到了目前廣泛使用的鋰電池。目前,鋰電池材料和工藝的發(fā)展較為緩慢,正處在電池發(fā)展的瓶頸期,因此,研究開發(fā)一個能夠充分發(fā)揮鋰電池性能的電池管理系統(tǒng)對電動汽車的使用具有重要的意義。當(dāng)前,研究者在對電池管理系統(tǒng)進(jìn)行研究時,大多采用安時法這一算法對鋰電池的電荷狀態(tài)做出估算,這種算法比較粗放,不能有效準(zhǔn)確掌握電池的實(shí)時狀態(tài)。對于搭載于動力汽車的電池而言,實(shí)時掌握電池的使用程度能夠改善電池的壽命、使用效率及損耗。 本文主要分析了目前電動汽車的動力電池所采用的主要荷電狀態(tài)估算技術(shù)和電池電壓均衡控制策略；對常用鋰電池管理系統(tǒng)中的荷電狀態(tài)估算技術(shù)進(jìn)行了比較分析,提出了一種基于DRNN神經(jīng)網(wǎng)絡(luò)的新型荷電計(jì)算方法,并對電池狀態(tài)進(jìn)行了仿真實(shí)驗(yàn)；針對鋰電池組單體電池之間不一致性,選擇了外電壓控制策略作為本文的電壓均衡控制策略；在使用TMS320F2812完成了對電源管理系統(tǒng)的硬件模塊及外圍電路設(shè)計(jì)的基礎(chǔ)上,使用了新型LTC6802芯片作為電池子板的管理芯片；對系統(tǒng)的軟件進(jìn)行了模塊化設(shè)計(jì),將電源管理系統(tǒng)分解成一種總分式結(jié)構(gòu)；在通信手段中使用了CAN總線方式,并采取了硬件和軟件并行的抗干擾措施,以保證系統(tǒng)的穩(wěn)定性。最后,對于電源管理系統(tǒng)中的重要部分進(jìn)行仿真模擬,并對模擬結(jié)果進(jìn)行了分析。該系統(tǒng)的研制,能夠保證電動汽車中的鋰電池性能始終處在一個良好運(yùn)行狀態(tài),發(fā)揮其最大的作用。
[Abstract]:The energy problem of automobile is an urgent problem for our country to pursue energy conservation and environmental protection and ease the shortage of resources. With the unremitting efforts of a large number of researchers, the main power components of electric vehicles have developed from early lead-acid batteries to widely used lithium batteries. At present, the development of lithium battery materials and technology is slow, and it is in the bottleneck of battery development. Therefore, it is of great significance to develop a battery management system that can give full play to the performance of lithium battery. At present, in the research of battery management system, most researchers use the amperometric method to estimate the charge state of lithium battery. This algorithm is extensive and can not effectively grasp the real-time state of the battery. For batteries in power vehicles, real-time control of the use of the battery can improve the battery life, efficiency and loss. This paper mainly analyzes the main charging state estimation technology and voltage equalization control strategy used in the power battery of electric vehicle, compares and analyzes the charge state estimation technology in the commonly used lithium battery management system. A novel charge calculation method based on DRNN neural network is proposed, and the simulation experiment is carried out, and the external voltage control strategy is chosen as the voltage equalization control strategy for the inconsistency between the lithium battery cell and the single cell. On the basis of using TMS320F2812 to design the hardware module and peripheral circuit of the power management system, a new type of LTC6802 chip is used as the management chip of the battery subboard, and the software of the system is designed by modularization. The power management system is decomposed into a general structure, the CAN bus is used in the communication method, and the anti-interference measures of hardware and software are adopted to ensure the stability of the system. Finally, the important parts of the power management system are simulated and the simulation results are analyzed. The development of the system can ensure that the performance of lithium battery in electric vehicle is always in a good operation state and play its greatest role.
【學(xué)位授予單位】：安徽理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U469.72;TM912

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