基于自適應(yīng)模糊策略的燃料電池車混合動力系統(tǒng)控制
發(fā)布時間：2018-11-04 08:01
【摘要】：近年來,能源危機日趨嚴重,全球各國正大力發(fā)展新能源技術(shù),以燃料電池汽車為代表的新能源車正逐漸成為未來交通運輸業(yè)能源替代的理想解決方案,它具有零排放、動力性能好、能量轉(zhuǎn)化率高、續(xù)航里程長等優(yōu)點,得到了各大車企和各國政府的高度關(guān)注。本文主要圍繞燃料電池車混合動力系統(tǒng)設(shè)計高效的能量管理策略,提出了一種功率實時自適應(yīng)控制策略,實現(xiàn)了能量的合理分配,并運用模糊控制對自適應(yīng)控制策略進行優(yōu)化,對控制器增益進行模糊化輸出,以實現(xiàn)對負載功率的有效跟蹤,并吸收再生制動產(chǎn)生的能量,提高能源利用率。主要完成了以下創(chuàng)新研究:·針對燃料電池車混合動力系統(tǒng)能量管理的特點,設(shè)計了自適應(yīng)控制策略,在車輛運行時實時分配燃料電池和鋰電池之間的功率,同時保證燃料電池輸出電流變化率在安全范圍內(nèi)、鋰電池SOC控制在期望水平,并基于李雅普諾夫穩(wěn)定性理論,對自適應(yīng)控制器閉環(huán)系統(tǒng)進行了穩(wěn)定性證明。后續(xù)的仿真和實車實驗結(jié)果證明自適應(yīng)控制策略的有效性;·針對自適應(yīng)控制策略中,對控制效果有很大影響的關(guān)鍵參數(shù)并不能隨著工況和系統(tǒng)狀況的改變而做出相應(yīng)的調(diào)節(jié)的特點,提出了自適應(yīng)模糊控制策略,利用模糊邏輯規(guī)則對燃料電池車的工作模式和負載功率進行劃分后,在車輛運行時不斷調(diào)整自適應(yīng)控制器參數(shù),優(yōu)化其輸出。最后,仿真和實車實驗結(jié)果驗證了自適應(yīng)模糊控制策略的有效性,并且和純自適應(yīng)策略進行了對比分析;
[Abstract]:In recent years, the energy crisis is becoming more and more serious, the countries all over the world are vigorously developing new energy technology, the new energy vehicle represented by fuel cell vehicle is gradually becoming the ideal solution of energy substitution in the future transportation industry, it has zero emission. Good power performance, high energy conversion, long mileage and other advantages, has been highly concerned by the major car companies and governments around the world. In this paper, an efficient energy management strategy is designed around the fuel cell vehicle hybrid power system, and a power real-time adaptive control strategy is proposed, which realizes the rational distribution of energy, and optimizes the adaptive control strategy by using fuzzy control. The fuzzy output of controller gain is carried out to realize the effective tracking of load power, absorb the energy generated by regenerative braking, and improve the energy utilization ratio. The main contributions are as follows: according to the characteristics of fuel cell vehicle hybrid power system energy management, an adaptive control strategy is designed to distribute the power between fuel cell and lithium battery in real time. At the same time, the output current change rate of the fuel cell is guaranteed to be in the safe range, and the SOC of the lithium battery is controlled at the desired level. Based on Lyapunov stability theory, the stability of the closed-loop system of the adaptive controller is proved. The results of simulation and real vehicle experiments show that the adaptive control strategy is effective. In view of the fact that the key parameters which have great influence on the control effect in the adaptive control strategy can not be adjusted with the change of operating conditions and system conditions, an adaptive fuzzy control strategy is proposed. After dividing the working mode and load power of the fuel cell vehicle by fuzzy logic rules, the parameters of the adaptive controller are adjusted continuously while the vehicle is in operation, and the output of the fuel cell vehicle is optimized. Finally, the effectiveness of the adaptive fuzzy control strategy is verified by simulation and real vehicle experiments, and compared with the pure adaptive control strategy.
【學位授予單位】：浙江大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：U469.722;TP273
[Abstract]:In recent years, the energy crisis is becoming more and more serious, the countries all over the world are vigorously developing new energy technology, the new energy vehicle represented by fuel cell vehicle is gradually becoming the ideal solution of energy substitution in the future transportation industry, it has zero emission. Good power performance, high energy conversion, long mileage and other advantages, has been highly concerned by the major car companies and governments around the world. In this paper, an efficient energy management strategy is designed around the fuel cell vehicle hybrid power system, and a power real-time adaptive control strategy is proposed, which realizes the rational distribution of energy, and optimizes the adaptive control strategy by using fuzzy control. The fuzzy output of controller gain is carried out to realize the effective tracking of load power, absorb the energy generated by regenerative braking, and improve the energy utilization ratio. The main contributions are as follows: according to the characteristics of fuel cell vehicle hybrid power system energy management, an adaptive control strategy is designed to distribute the power between fuel cell and lithium battery in real time. At the same time, the output current change rate of the fuel cell is guaranteed to be in the safe range, and the SOC of the lithium battery is controlled at the desired level. Based on Lyapunov stability theory, the stability of the closed-loop system of the adaptive controller is proved. The results of simulation and real vehicle experiments show that the adaptive control strategy is effective. In view of the fact that the key parameters which have great influence on the control effect in the adaptive control strategy can not be adjusted with the change of operating conditions and system conditions, an adaptive fuzzy control strategy is proposed. After dividing the working mode and load power of the fuel cell vehicle by fuzzy logic rules, the parameters of the adaptive controller are adjusted continuously while the vehicle is in operation, and the output of the fuel cell vehicle is optimized. Finally, the effectiveness of the adaptive fuzzy control strategy is verified by simulation and real vehicle experiments, and compared with the pure adaptive control strategy.
【學位授予單位】：浙江大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：U469.722;TP273
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相關(guān)期刊論文 前10條
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