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To reduce such pollution in the city area, zero emission fleet vehicles can be employed for a short distance goods transport. In current development, old pickup trucks are targeted as the vehicle to be converted to an electric vehicle. In this case, model based system design were employed to reduce the design cost and process time. Vehicle specification and the Modified and Simplified Federal Urban Driving (MSFUD) cycles were used as inputs to the MATLAB scripted program represented the models of EV components and the power flow in the system. Lithium Ion batteries and Hydrogen fuel cell system were also employed as the power sources for the electric propulsion. The simulation shows different scenarios that could be used as the decision making support information and EV design exploration. It can predict several various EV and fuel cell characteristics, such as driving range, performance, torque speed map, and motor power dynamics.

Development of conceptual drive-by-wire ECU for electric vehicle conversion (EVC) can be designed by means of a low cost and time saving model based process. This is done by employing MATLAB scripted programs to systematically compute the power flow regime of the electric vehicle propulsion and response to dynamic loads. In this particular design, vehicle data and modification of simplified federal urban driving cycle (SFUD) were the two main inputs for driving simulation. As a result, the simulation was capable to predict various EVC characteristics and design parameters, such as driving range, torque-speed characteristics, and motor power usage. Output obtained from simulation were employed as design criteria to set up drive-by-wire software and ECU hardware functions, which are driving modes, torque set point for EVC electric propulsion in all four quadrants.