Modeling and Simulation of a Fully Autonomous Electric Vehicle (AEV)

TL;DR

This paper develops a comprehensive MATLAB/Simulink simulation model of a fully autonomous electric vehicle, evaluating its performance and energy recovery features under standard driving conditions.

Contribution

It introduces an integrated simulation framework for AEVs, including models for key components and a driver model with energy recovery, advancing virtual testing capabilities.

Findings

The vehicle maintains speed and driving distance effectively.

Energy brake recovery increases driving distance by 25%.

Simulation results show strong vehicle output characteristics.

Abstract

With continuous advancements in science and technology, there is increasing focus on environmental sustainability, leading to heightened interest in autonomous electric vehicles (AEVs). AEVs hold significant potential for enhancing electric mobility, energy efficiency, environmental preservation, and driving capabilities. They offer numerous advantages that could revolutionize transportation and urban lifestyles, notably by improving road safety through the reduction of human error, a leading cause of accidents. This paper presents a comprehensive simulation of an AEV by developing and integrating models for the driving system, battery, motor, transmission, and vehicle body within the MATLAB/Simulink environment. Each component is configured and interconnected to create a pure vehicle model. The simulation is conducted under UDDS cycle conditions to evaluate the vehicle's performance in speed maintenance, driving distance, acceleration capabilities, and battery state-of-charge (SoC) dynamics. The results demonstrate that the vehicle exhibits strong output characteristics. Furthermore, the driver model incorporates an energy brake recovery function, which, when set to a 50% recovery efficiency, increases the driving distance by 25% compared to a vehicle without this function.