Smart Braking Actuator Control For A Heavy Weighted Electric Vehicle


Sonki Prasetya†,‡, Hendri D.S. Budiono†, Ario Sunar Baskoro†, Agung Shamsuddin†, Danardono A. Sumarsono†*, Mohammad Adhitya†, Fuad Zainuri†‡, Nazaruddin†, Ghany Heryana†, Rolan Siregar†


†Research Center for Advanced Vehicle (RCAVe), Universitas Indonesia, 16424, Indonesia.

‡Department of Mechanical Engineering Politeknik Negeri Jakarta 16425, Indonesia.

Corresponding Author Email: danardon@eng.ui.ac.id

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

One of essential feature in driving is the braking system. Buses as one of heavy vehicles commonly use drum or disc brakes type to decelerate the speed. Heavy vehicles use air brake system via cylinders working as the actuators to push the rod thus expand the braking shoe inside the brake drum. Nevertheless, Electric Vehicles (EV) has another priority to save the energy stored in the battery. Meanwhile, generating pressurized air using a compressor inside the bus also produces new problem namely energy consumption. Furthermore, air brake system also increases inefficiency while EVs have to manage the energy usage carefully. Hence, an alternative substitution of the conventional air system using direct electric actuator was developed. The idea is to use less conversion of energy in order to increase efficiency as well as reduce components. However, the characteristic between the conventional air system and electric system are different. Therefore, this study focuses on produce the characteristic of the new system similarly with the conventional system in order to replace the component. This study uses an intelligent method approach so called fuzzy to achieve the objective. The result shows that the curve can be formed according to the previous system with improvement in dynamics. Furthermore, a braking signal PWM signal is generated based on the result with 10ms period.