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Implementation of Shortest Control Path Finder for a Hybrid Electrical Vehicle Control using Matlab Simulink
Implementation of Shortest Control Path Finder for a Hybrid Electrical Vehicle Control using Matlab Simulink
This example shows how to find the shortest control path for a hybrid electrical vehicle using Signal Tracing Command-line API.
In this model, a Hybrid Electrical Vehicle drives on a slope and the initial speed is 0 m/s.
Set the target speed to 30 m/s.
In Driver, a PID control compares the actual speed with the target speed and sends a command to increase or decrease speed to the power demand estimation module.
Power demand estimation converts to the desired power, and the power is primarily provided by the electrical motor.
If electrical motor is unable to provide enough torque, then the engine and provides additional torque.
In Vehicle Dynamic, road resistance including rolling resistance and gravity resistance as well as the aero drag are calculated.
The actual speed of the vehicle is constantly returned to Driver through the feedback loop until the vehicle reaches the target speed.
1) Trace All Sources that Control the Actual Speed
2)Obtain the Trace Graph
3) Find the Shortest Path from Trace graph
4) Simulation : Shortest Control Path for a Hybrid Electrical Vehicle
Click here to download the demo files:
https://drive.google.com/file/d/1NU4jML0j8DzMxP0Z43Q9okayTCyolLPf/view?usp=sharing
https://drive.google.com/file/d/1XRuV44_9TzpHn6G2qJ0rOnLEL29yhai4/view?usp=sharing
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