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Abstract ABSTRACT Nowadays most innovations within the automotive domain are driven by embedded systems and software solutions. Many of these innovations like anti-lock braking systems, electronic stability control, or emergency brake assistants significantly reduce vehicle accidents and increase safety. On the other hand, embedded systems increase the driving comfort with driver assistance functions like adaptive cruise control. Furthermore, infotainment systems and telematics increase the user acceptance and contribute to the value of modern cars. It can be observed that the costs for embedded solutions in vehicles are growing rapidly while mechanical engineering-based solutions are stagnating in importance This thesis describes the development of a controller for a self-driving electric vehicle moved along a predefined trajectory for the handicapped persons, where their needs will be taken in consideration during design and implementation stages of the controller. Moreover, the power consumption was studied electric vehicle prototype and provides a technique to overcome the limitation of the power source capacity. Design and building a prototype for electric vehicle with the proper sensors is discussed for the power analysis purposes. Deployment embedded system to drive the prototype in a specific path is presented. The sensors readings are deployed in the skid steered vehicle kinematic model for estimating power consumption characteristics. A control strategy for the embedded system is suggested to minimize the electric power consumption without motion trajectory deviation. The historically research work further reviewed related literature on the subject matter to sample the opinions of various authors on the subject. The review of related literatures centered on the basic power consumption study of electric vehicle prototype and provides a technique to overcome the limitation of the power. |