插电式混合动力汽车车载复合电源功率分配策略研究

将原有插电式混合动力汽车单一电源系统改造成复合电源系统,根据整车性能要求及所用循环工况对车载电源的能量和功率需求解耦,完成动力电池和超级电容的参数匹配;在Matlab/simulink中建立复合电源功率分配策略,仿真结果表明,采用复合电源能减少动力电池循环充电次数,有效避免大电流对动力电池的冲击,充分发挥超级电容的高比功率特性,与改造前相比,燃油经济性提高3.4％,纯电动行驶里程增加1.3％.     

并联混合动力汽车复合电源控制策略的研究

通过对复合电源在混合动力汽车(HEV)中应用的研究,设计了针对某款并联式混合动力汽车的复合电源结构,并对其效率特性进行了分析,提出了复合电源的功率分配控制策略以及电池给超级电容充电策略,基于MATALAB/Simulink,建立了复合能量存储系统模型,并嵌入ADVISOR软件中,在城市道路循环UDDS工况下进行了仿真研究。仿真结果表明,通过采用该复合电源控制策略,可以充分发挥超级电容和蓄电池各自的优点,改善整车储能系统的存储效率,提高制动能量的回收效率。     

超级电容在直流操作电源系统中的应用

超级电容（双电层电容器EDLC）是一种新型储能元件,其与蓄电池相比具有一定的互补性。利用超级电容构成直流操作电源系统中的储能部件,可以解决蓄电池直流操作电源系统中存在的问题,提高电源系统的可靠性和可维性。提出了超级电容在直流操作电源系统中的多种应用方案。     

浅析提高直流操作电源系统可靠性的主要方法

超级电容（双电层电容器EDLC）是一种新型储能元件,其与蓄电池相比具有一定的互补性。利用超级电容（或与蓄电池一起）构成直流操作电源系统中的储能部件,可以解决蓄电池直流操作电源系统中存在的问题,提高电源系统的可靠性和可维性。本文提出了超级电容在直流操作电源系统中的多种应用方案。     

碳基电化学双层电容器及复合电源系统的研制

碳基电化学超电容器作为一种新一代储能系统具有广泛的应用.多种测试及研究手段表明本文制备的炭材料具有适合电化学超电容器用途的特殊结构和型貌.直流充放电、循环伏安以及交流阻抗等实验显示了使用该材料组装的电容器具有良好的电化学性能,活性物质的比容量为168.5F/g,在大功率充放电条件下的活性物质的能量密度>5.0Wh/kg,同时具有10⁵以上的循环寿命,脉冲放电实验证明超电容器能有效改善镍氢电池的大电流脉冲放电性能.     

氧化物／活性炭复合电极材料的研究

用醋酸锰和高锰酸钾制备二氧化锰粉末；用氯化钌和氢氧化钠制备水合二氧化钌粉末。以二氧化钌和二氧化锰作为电极材料的活性物质，以活性碳粉末为电极的基础原料制备复合电极，并组装超级电容器单元。用x射线衍射仪和扫描电镜对电极材料进行表征，可得复合电极具有明显的电容特征。在浓度为38％的硫酸电解质溶液中，对复合电极进行电化学性能测试，循环伏安曲线、充放电曲线和交流阻抗特性显示了复合电极材料具有良好的电化学性能。碳，锰复合电极的比容量为128F／g，碳/锰/钌复合电极的比容量为266F/g。当二氧化钌和二氧化锰在电极中质量比各占20％时，更能发挥活性物质的作用，由该电极材料组成的超级电容器具有理想的电容特性。     

基于模糊控制的锂电池主动平衡策略研究

基于模糊控制的锂电池主动平衡策略研究是在单向分段传送电感型锂电池主动式平衡方案的基础上,研究了平衡方案在物理堆叠与传递的数学模型后,针对整个放电过程中串联锂电池组所表现出来的行为特性,在误差量上叠加了模糊控制算法跟据冻结序列与当前误差值生成的正超调整量后对其具体操作实现算法的改进来实现在设定的最终放电电压附近达到电池的级SOC差值处于最小的目标。研究与仿真结果表明,该算法具有优秀的平衡性能,在绝大多数情况下相同的平衡电流下能达到与通用双向分段式传送平衡方案相近的平衡能力,当平衡电流足够大时,性能甚至能超过后者。     

基于DDC的变风量空调机组复合模糊控制

变风量空调系统以其节能、灵活性而优于其他空调系统，逐渐成为空调系统设计的主流。但变风量空调系统是一个复杂、时变的非线性热力系统，建立精确的数学模型比较困难。本文探讨了一种基于直接数字控制器的复合模糊PID控制算法，在大偏差时用模糊控制，在小偏差时用PID控制，从而解决控制系统的稳定性与获得良好性能的问题，增强系统对不确定因素的适应性。     

超级电容电池用碳类复合负极材料的研究

研制了新型储能器件超级电容电池用石墨和活性炭复合负极材料,应用恒流充放电法,考察了这种复合负极材料的电化学性能.结果表明这种碳复合负极材料兼具良好的电容特性和电池特性,在基本保持电池特性的同时,能将电容器电位窗口从2.5V提高至3.5V vs Li/Li+,能量密度从21.7Wh/kg提高至40.3wh/kg,增大近两倍;有很好的倍率性能,电流密度从0.1A/g增加到1A/g时,比容量仅下降了1.3F/g;同时能保持良好的循环性能,10次容量保持率即使在3.5V高压下仍有96.7%.     

单片机及自组织模糊控制在可控硅磁控溅射靶极电源中的应用

本文介绍了由单片机组成的可控硅磁控溅射靶极电源自组织模糊控制系统，给出了主要硬件电路，对软件功能进行了说明，尤其对自组织模糊控制算法作了较为详细的论述。该系统动态特性良好，抗干扰能力强，有自组织、自学习和系统辩识的能力。     

Simulation and performance evaluation of shunt hybrid power filter using fuzzy logic based non-linear control for power quality improvement

This paper deals with design and simulation of a three-phase shunt hybrid power filter consisting of a pair of 5th and 7th selective harmonic elimination passive power filters connected in series with a conventional active power filter with reduced kVA rating. The objective is to enhance the power quality in a distribution network feeding variety of non-linear, time-varying and unbalanced loads. The theory and modelling of the entire power circuit in terms of synchronously rotating reference frame and leading to a non-linear control scheme is presented. This work involves introduction of individual fuzzy logic controllers for d and q axis current control and for voltage regulation of the DC link capacitor. The simulation schematic covering the power and control circuits have been developed taking into account severe harmonic distortion caused by non-linear and unbalanced loads. The effectiveness of the fuzzy logic controller for the compensation of harmonics and reactive power has been verified by successive simulation runs and analysis of the results. The proposed controller is also able to compensate the distortion generated by the voltage- and current-fed non-linear loads, unbalanced and dynamically varying loads. Further, excellent regulation of the DC link voltage is accomplished, which significantly contributes to improvement of power quality.     

Different control applications on a vehicle using fuzzy logic control

In this paper, the active suspension control of a vehicle model that has five degrees of freedom with a passenger seat using a fuzzy logic controller is studied. Three cases are taken into account as different control applications. In the first case, the vehicle model having passive suspensions with an active passenger seat is controlled. In the second case, active suspensions with passive passenger seat combination are controlled. In the third case, both the passenger seat and suspensions have active controllers. Vibrations of the passenger seat in the three cases due to road bump input are simulated. At the end of the study, the results are compared in order to select the combination that supplies the best ride comfort.     

混合动力汽车能量回收制动控制策略研究

为了满足混合动力电动汽车(HEV)制动安全性的要求并使其有效地进行能量回收,在分析比较了不同能量回收制动控制策略的基础上,针对EQ7200HEV-C并联型混合动力汽车的制动系统设计开发了一种全新的综合制动控制策略.该控制策略采用逻辑门限控制逻辑对传统的液压制动力矩进行动态调整,采用模糊控制逻辑对电机施加的能量回收制动力矩进行动态调整,两者的有效结合确保了制动安全下的能量有效回收.仿真及试验结果验证了该控制策略的有效性和稳定性.     

A hybrid interval-parameter fuzzy robust programming method and its application to filter management strategy in fluid power systems

An interval-parameter fuzzy robust programming (IFRP) method is developed for the assessment of filter allocation and replacement strategies in a fluid power system (FPS) under uncertainty. The developed IFRP can effectively handle the uncertainties expressed as fuzzy sets, interval values, and their combinations, which exist in contaminant ingression/generation of the system and contaminant-holding capacity of filter without making assumptions on their probabilistic distributions. The fuzzy decision space can be delimited into a more robust one with the uncertainties being specified through dimensional enlargement of the original fuzzy constraints, leading to enhanced robustness for the optimization process. Results indicate that the developed IFRP can not only help decision-maker to identify optimal filter allocation and replacement strategies to control the contamination level of FPS with a minimized system-cost and system-failure risk under multiple uncertainties, but also mitigate uncertainties through abating interval widths of the replacement periods and service life under different contamination ingression/generation rates.     

基于混合田口遗传算法的磁流变半主动悬架模糊控制

针对磁流变悬架的非线性以及动力学模型的不确定性,提出一种基于混合田口遗传算法的磁流变半主动悬架整车模糊控制策略。首先建立了基于磁流变减振器的整车动力学模型,并将车辆的振动控制分解垂向振动、俯仰、侧倾三个基本任务设计模糊控制器,进而设计了隶属函数和模糊控制规则;接着引入混合田口遗传算法实现对模糊控制器的隶属函数和模糊控制规则同时优化;最后进行实车道路试验来验证控制策略的有效性。试验结果表明,基于混合田口遗传算法的模糊控制能够降低确定路面激励下车身加速度峰峰值,降低随机路面激励下的加速度均方根值,显著提高车辆的平顺性,其控制效果要优于优化前的模糊控制策略。     

固定式海洋平台系统的网络化模糊减振控制方法

目的:研究受非线性自激波浪力影响下的海洋平台网络化模糊系统建模和控制问题。方法:针对一类含有主动质量阻尼器的导管架海洋平台,采用Takagi-Sugeno(T-S)模糊方法模糊化平台振动模态固有频率建立海洋平台系统的模糊动力学模型;然后,通过构造Lyapunov-Krasovskii泛函并采用积分不等式方法研究海洋平台闭环系统的稳定性条件。结果:给出了海洋平台系统在网络控制环境下的T-S模糊动力学模型以及闭环系统渐近稳定的充分条件,从而提出了海洋平台网络化模糊控制器的设计方法。结论:仿真结果表明,本文提出的网络化模糊控制方法能够有效地降低平台的振动幅值,提高平台的安全性。     

基于模糊滑模切换控制的PMSMS弱磁调速控制策略

针对表贴式永磁同步电主轴(PMSMS)弱磁控制方案中,主轴系统调速性能欠佳的问题,提出一种基于模糊滑模切换控制(FSMSC)的超前角弱磁调速策略。在转速误差大于设定阈值时,使用模糊控制器实现主轴转速快速趋近给定值,利用模糊控制的特点对控制器进行实时的参数调整,使系统具有更强的鲁棒性;在转速误差小于设定阈值时,使用趋近律滑模控制器提高系统抗干扰能力,减小加工过程中因负载突变造成的加工误差,进一步增强系统鲁棒性。实验结果表明,基于FSMSC的超前角弱磁调速策略能有效抑制定子电流震荡以及电磁转矩脉动,并且控制器对抖动因子参数敏感性低,参数调节便捷,在实际加工中具有重要意义。     

Pneumatic motor speed control by trajectory tracking fuzzy logic controller

In this study, trajectory tracking fuzzy logic controller (TTFLC) is proposed for the speed control of a pneumatic motor (PM). A third order trajectory is defined to determine the trajectory function that has to be tracked by the PM speed. Genetic algorithm (GA) is used to find the TTFLC boundary values of membership functions (MF) and weights of control rules. In addition, artificial neural networks (ANN) modelled dynamic behaviour of PM is given. This ANN model is used to find the optimal TTFLC parameters by offline GA approach. The experimental results show that designed TTFLC successfully enables the PM speed track the given trajectory under various working conditions. The proposed approach is superior to PID controller. It also provides simple and easy design procedure for the PM speed control problem.     

An approach of fuzzy logic evaluation and control in SPC

Quality control plays an important part in most industrial systems. Its role in providing relevant and timely data to management for decision‐making purposes is vital. A method that uses statistical techniques to monitor and control product quality is called statistical process control (SPC), where control charts are test tools frequently used for monitoring the manufacturing process. Engineers or managers can evaluate an abnormal process by using SPC zone rules in control charts. In the conventional use of the zone rules the user is only able to determine whether or not the process is out of control. What action should be taken to adjust the process is uncertain and is evaluated based on knowledge of the system and past experiences. This paper explores the integration of fuzzy logic and control charts to create and design a fuzzy–SPC evaluation and control (FSEC) method based on the application of fuzzy logic to the SPC zone rules. A simulation program implementing FSEC was written in Borland C++ 5.0 and simulation results were obtained and analysed. The abnormal processes simulated were automatically adjusted for each of the zone rules tested and showed an improved performance after the control action, thus confirming the merit of the technique as a special method with the specific numerical control action based on a quality evaluation criterion. Copyright © 2000 John Wiley & Sons, Ltd.