Abstract
Due to huge increasing cost, environmental pollution & shortage of petrol, diesel & other gases, internal combustion engines are gives more running cost of vehicle. So, electric vehicle will be the best suitable choice to save running cost of operating fuel & pollution free environment. By keeping this point in mind government is also taking many initiatives & subsidies to promote pollution free environment. But, still use of electric vehicle is not as per expectations because, due to more difference in reference speed & actual speed of EV motor, charging infrastructure & many more reason behind it. But in this research article, we had designed adaptive intelligent vehicle controller for four wheeler electric vehicle & design of vehicle dynamics parameters & other design values of vehicle to give accurate tracking the driver reference speed with actual speed of motor. So that error between driver reference speed & actual speed of motor should be eliminated. Driver’s reference speed is created by using standard drive cycle source block available in Matla-2022be to generate various different drive cycles such as NEDC, FTP etc. We had successfully tested our controller & other design parameters of vehicle on various random drive cycles & simulation result proves that, our intelligent adaptive vehicle controller follows all various different drive cycle source, irrespective of road conditions i.e ON-road, sporty mode & off-road condition. Also, we estimated state of charge (SoC) of battery before & after running the vehicle to understand battery performance w.r.to time. Also this same control strategy for design of two wheeler electric vehicle result gives very less error between reference speed & actual speed.
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