本文選題：鉛酸蓄電池 + 充電�。� 參考：《蘭州交通大學》2014年碩士論文

【摘要】：鉛酸蓄電池具有性價比高、大容量、安全性能可靠及原材料豐富等優(yōu)點，，使其得到了越來越廣泛的應(yīng)用；近年來，各行各業(yè)對鉛酸蓄電池需求量大增。但其充電方式的不合理造成了鉛酸蓄電池的容量下降，縮短了鉛酸蓄電池的服役壽命，使得鉛酸蓄電池過早地報廢，從而嚴重的浪費了資源，而且造成了環(huán)境污染；蓄電池在傳統(tǒng)充電模式下都存在過充、超調(diào)量大等問題，致使其使用效率不高和壽命短。所以，尋求具有高效、安全、可靠的充電方法顯得極為重要，這極大地加速了人們對智能不斷深入研究。針對鉛酸蓄電池，本文提出了基于模糊PID控制的充電方法，建立了蓄電池充電數(shù)學模型，并在Matlab仿真平臺做了仿真研究。 介紹了鉛酸蓄電池各種傳統(tǒng)充電模式，并比較分析了各種充電方法的優(yōu)缺點，同時對鉛酸蓄電池SOC(State of Charge,荷電狀態(tài)或剩余容量)測試方法做了簡要介紹，通過分析總結(jié)現(xiàn)有的SOC預(yù)估方法，給出了一種容易操作的SOC預(yù)估模型。通過對最佳充電電流曲線的研究分析，結(jié)合模糊PID控制策略，用蓄電池端口電壓來表征充電的完整過程，采用二維模糊控制器，將端口電壓的誤差和誤差變化率作為控制器的輸入，輸出為PID三個修正參數(shù)；將蓄流電感加入充電系統(tǒng)的物理模型，對其充電過程進行了數(shù)學建模；利用Matlab/Simulink仿真平臺做了仿真，對比分析了在PID控制下和模糊PID控制下的充電效果，也與傳統(tǒng)充電模式做了對比分析，結(jié)果證明在模糊PID控制下充電能解決傳統(tǒng)充電模式下存在過充、超調(diào)量大的問題，而且具有很好的魯棒性。
[Abstract]:Lead-acid batteries have many advantages, such as high cost performance, large capacity, reliable safety performance and abundant raw materials, which make them more and more widely used. In recent years, the demand for lead-acid batteries has increased greatly in all walks of life. But the unreasonable charging mode causes the capacity of lead-acid battery to decline, shortens the service life of lead-acid battery, makes the lead-acid battery abandoned prematurely, thus seriously wastes resources and causes environmental pollution. The battery is overcharged and overregulated in traditional charging mode, which leads to low efficiency and short service life. Aiming at lead-acid battery, this paper presents a charging method based on fuzzy pid control, establishes the mathematical model of battery charging, and does simulation research on Matlab simulation platform. Various traditional charging modes of lead-acid batteries are introduced, and the advantages and disadvantages of various charging methods are compared and analyzed. At the same time, the test methods of SOC state of charge (state of charge or residual capacity) for lead-acid batteries are briefly introduced. By analyzing and summarizing the existing SOC prediction methods, an easy to operate SOC prediction model is presented. Through the research and analysis of the optimal charging current curve, combined with the fuzzy pid control strategy, the battery port voltage is used to characterize the complete process of charging, and the two-dimensional fuzzy controller is adopted. The error and error rate of the port voltage are taken as the input of the controller and the output is the pid three correction parameters; the storage inductor is added to the physical model of the charging system and the mathematical model of the charging process is established; and the simulation is done by using the Matlab / Simulink simulation platform. The charging effect under pid control and fuzzy pid control is compared with the traditional charging mode. The results show that charging under fuzzy pid control can solve the problem of overcharge and overshoot under the traditional charging mode. And it has good robustness.
【學位授予單位】：蘭州交通大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TM912

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