This master’s thesis is dedicated to an in-depth examination of Battery Electric Vehicles (BEVs), with a pronounced emphasis on constructing a detailed systematic model of BEVs and seamlessly integrating the Controller Area Network (CAN) platform. Utilizing Simscape within the Simulink environment as the foundational framework, the primary objective is to simulate cybersecurity attacks on vehicular systems. This approach allows the generation of attack scenarios common to BEVs, providing invaluable insights into the resultant behaviors and vulnerabilities exposed by these cybersecurity breaches. Central to this thesis is the development and application of a BEV model in Simulink, designed specifically to facilitate the emulation of CAN injection attacks.