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Analyze the vehicle’s acceleration characteristics under various driving conditions and load scenarios.
Analyze how the vehicle’s mass, power train characteristics, and road conditions affect acceleration.
Calculate the forces acting on the vehicle during acceleration, including aerodynamic drag, rolling resistance, and gravitational forces
Analyze the relationship between motor torque, power output, and vehicle acceleration to establish a clear understanding of how torque influences performance.
Using Simulink’s visualization capabilities to present results, including velocity vs. time graphs and distance traveled, for better analysis.
Integrate the velocity to determine the distance traveled over time, enabling distance tracking during various driving scenarios.
Define key motor characteristics such as rated power, torque, speed, voltage, and current, which are essential for calculating efficiency under different conditions.
Implement the efficiency formula, dividing motor output power by input power, and ensure all units are consistent to yield accurate results across simulations.
Use loops to simulate motor behavior over a range of speeds and torques, calculating efficiency at each point and storing results for further analysis.
Generate 2D or 3D plots in MATLAB to visualize the efficiency as a function of speed and torque.
Mathematical Representation: The modeling of a DC motor involves creating equations that represent its electrical and mechanical dynamics, typically incorporating parameters like resistance, inductance, back EMF, torque, and inertia.
State-Space Representation: DC motor models can be expressed in state-space form, allowing for a comprehensive analysis of system behavior and the design of control strategies.
Simulink Integration: MATLAB's Simulink environment enables the graphical modeling of DC motors, allowing users to simulate and visualize dynamic responses to different inputs and control actions.
Parameter Estimation: Accurate modeling requires the estimation of motor parameters through experimental data, ensuring that the simulation closely reflects real-world performance and behavior.
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