Steering System of Electric Vehicle using Extreme Learning Machine

Sofyan Ahmadi, K. Anam, Azmi Saleh
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Abstract

The development of electric vehicle technology is currently increasing and growing very fast. Some efforts have been conducted, one of which is using BLDC (brushless direct current) motors to improve efficiency. This study utilized extreme learning machine (ELM) embedded on the microcontroller as well as the differential method for controlling the rotational speed of the BLDC motor. The experimental results on the acceleration testing by traveling a distance of 200 meters achieved the average current of 1.09 amperes. The average power efficiency test is 104 watts. Furthermore, the results of the efficiency experiment with a track length of 3.3 km (kilometers) in 10 minutes obtained the energy efficiency of 177.34 km / kWh (kilowatt for one hour).
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基于极限学习机的电动汽车转向系统
目前,电动汽车技术的发展日益迅速。已经进行了一些努力,其中之一是使用BLDC(无刷直流)电机来提高效率。本研究利用嵌入在微控制器上的极限学习机(ELM)和差分方法控制无刷直流电机的转速。实验结果表明,在200米的加速度测试中,平均电流为1.09安培。平均功率效率测试为104瓦。此外,在10分钟内轨道长度为3.3公里的效率实验结果中,获得了177.34公里/千瓦时(每小时千瓦)的能源效率。
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