基于电池电量模糊PID的电动摩托车自动限速系统设计与实现

Afaf Fadhil Rifa’i, Hendy Rudiansyah, Nuryanti, Rizky Milanto
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引用次数: 0

摘要

电动摩托车使用者被要求能够简化电能的使用。众所周知,在车辆上安装限速器可以简化能源的使用。当电池电量低于20%时,速度限制在40公里/小时,以便根据初步调查数据,该系统可以在社区中应用和接受。因此,开发了一种基于电池电量限制电动摩托车速度的系统。被控变量为无刷直流电动机转速,采用模糊pid控制方法,以误差和参考转速与实际转速之间的差值作为输入。硬件为树莓派4 B型控制器、FTDI、逻辑电平转换器、MCP3008和HC-06。模糊pid输出决定PWM值来控制无刷直流电机的转速。结果表明,该系统可使电动摩托车的能耗效率提高57.3%。系统从几个州以40公里/小时的速度达到稳定时间平均需要7.363秒。
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Design and Implementation of Auto-limit Riding Speed System for Electric Motorcycles Based on Battery Level with Fuzzy PID
Electric motorcycle users are required to be able to streamline the use of electrical energy. The application of speed limiter on vehicles is known to streamline the use of energy. Speed is limited to 40 km/h when the battery is below 20% so that this system can be applied and accepted in the community based on initial survey data. Therefore, a system is made to limit the speed of an electric motorcycle based on the battery level. The controlled variable is the BLDC motor speed with a control method using Fuzzy-PID with input in the form of error and delta error between reference speed and actual speed. The hardware used is Raspberry Pi 4 model B as a controller, FTDI, Logic Level Converter, MCP3008, and HC-06. The Fuzzy-PID output determines the PWM value to control the BLDC motor speed. The results show that the system can increase the efficiency of energy consumption on electric motorcycles by up to 57.3%. The average time required for the system to reach settling time at a speed of 40 km/h from several states is 7.363 seconds.
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