高能动力电池是供配电系统的核心储能模块,针对高能动力电池的应用构建了二阶等效电路模型。在等效电路模型的基础上,提出联合递推最小二乘(Recursive Least Squares,RLS)法和扩展卡尔曼滤波(Extended Kalman Filter,EKF)的荷电状态(Sta...高能动力电池是供配电系统的核心储能模块,针对高能动力电池的应用构建了二阶等效电路模型。在等效电路模型的基础上,提出联合递推最小二乘(Recursive Least Squares,RLS)法和扩展卡尔曼滤波(Extended Kalman Filter,EKF)的荷电状态(Stage of Charge,SOC)算法,并在其基础上改进为基于温度补偿的联合RLS法和EKF融合的SOC算法。基于MATLAB软件,设计改进前和改进后联合算法的仿真验证程序,并对结果进行了比较分析。仿真结果表明,基于温度补偿的联合算法可实现当SOC处于(0.25,1)的区域内,相对误差基本小于5%,验证了所提出的建模方法和求解方法的有效性。展开更多
两挡AMT换挡执行机构由于受到霍尔传感器的精度低的限制,使两挡换挡执行机构的换挡准确度不够高,提出了一种基于EKF融合霍尔传感器信号的换挡位置状态估计方法。本文使用直流电机作为动力源,使用蜗轮蜗杆减速机构以及换挡座将电机的旋...两挡AMT换挡执行机构由于受到霍尔传感器的精度低的限制,使两挡换挡执行机构的换挡准确度不够高,提出了一种基于EKF融合霍尔传感器信号的换挡位置状态估计方法。本文使用直流电机作为动力源,使用蜗轮蜗杆减速机构以及换挡座将电机的旋转运动转换成轴向运动,利用位置、转速、电流三闭环控制策略,采用PID控制算法进行执行机构的控制,对换挡执行机构系统进行建模仿真和实验分析,与传统单个PID控制相比,EKF融合霍尔传感器的PID控制具有更好的位置精度。Limited by the low accuracy of Hall sensor, the shifting accuracy of two-gear AMT gear shifting actuator is not high enough. A shifting position state estimation method based on EKF fusion Hall sensor signal is proposed. In this paper, DC motor is used as the power source, worm gear reducer and shifting seat are used to convert the rotating motion of the motor into axial motion, and PID control algorithm is adopted to control the actuator using three close d-loop control strategies of position, speed and current, and modeling and simulation of the shifting actuator system are carried out. Compared with the traditional single PID control, The PID control of EKF fusion Hall sensor has better position accuracy.展开更多
To obtain real-time rotor information of the brushless DC motor,improve the low-speed performance and anti-interference ability of the motor,a sensorless vector control system model of the brushless DC motor was estab...To obtain real-time rotor information of the brushless DC motor,improve the low-speed performance and anti-interference ability of the motor,a sensorless vector control system model of the brushless DC motor was established.A motor control system based on the EKF algorithm was designed.By combining the EKF observer with the brushless DC motor,a simulation model of the EKF motor control system was built based on Simulink.The simulation results show that the motor control system with the EKF observer operates well.The motor’s low-speed operation performance and rotor position detection are very fast,and the motor’s anti-interference ability is significantly enhanced,effectively improving the dynamic performance of the control system[1].展开更多
文摘高能动力电池是供配电系统的核心储能模块,针对高能动力电池的应用构建了二阶等效电路模型。在等效电路模型的基础上,提出联合递推最小二乘(Recursive Least Squares,RLS)法和扩展卡尔曼滤波(Extended Kalman Filter,EKF)的荷电状态(Stage of Charge,SOC)算法,并在其基础上改进为基于温度补偿的联合RLS法和EKF融合的SOC算法。基于MATLAB软件,设计改进前和改进后联合算法的仿真验证程序,并对结果进行了比较分析。仿真结果表明,基于温度补偿的联合算法可实现当SOC处于(0.25,1)的区域内,相对误差基本小于5%,验证了所提出的建模方法和求解方法的有效性。
文摘两挡AMT换挡执行机构由于受到霍尔传感器的精度低的限制,使两挡换挡执行机构的换挡准确度不够高,提出了一种基于EKF融合霍尔传感器信号的换挡位置状态估计方法。本文使用直流电机作为动力源,使用蜗轮蜗杆减速机构以及换挡座将电机的旋转运动转换成轴向运动,利用位置、转速、电流三闭环控制策略,采用PID控制算法进行执行机构的控制,对换挡执行机构系统进行建模仿真和实验分析,与传统单个PID控制相比,EKF融合霍尔传感器的PID控制具有更好的位置精度。Limited by the low accuracy of Hall sensor, the shifting accuracy of two-gear AMT gear shifting actuator is not high enough. A shifting position state estimation method based on EKF fusion Hall sensor signal is proposed. In this paper, DC motor is used as the power source, worm gear reducer and shifting seat are used to convert the rotating motion of the motor into axial motion, and PID control algorithm is adopted to control the actuator using three close d-loop control strategies of position, speed and current, and modeling and simulation of the shifting actuator system are carried out. Compared with the traditional single PID control, The PID control of EKF fusion Hall sensor has better position accuracy.
文摘To obtain real-time rotor information of the brushless DC motor,improve the low-speed performance and anti-interference ability of the motor,a sensorless vector control system model of the brushless DC motor was established.A motor control system based on the EKF algorithm was designed.By combining the EKF observer with the brushless DC motor,a simulation model of the EKF motor control system was built based on Simulink.The simulation results show that the motor control system with the EKF observer operates well.The motor’s low-speed operation performance and rotor position detection are very fast,and the motor’s anti-interference ability is significantly enhanced,effectively improving the dynamic performance of the control system[1].
