Modified on
04 Jan 2023 06:57 pm
Skill-Lync
MATLAB is one of the most popular tools with lots of in-built features. This tool can automatically generate codes based on your requirements. The interactive graphical user interface allows you to simulate and validate the software and hardware systems easily. Simulink is an add-on to MATLAB specifically designed for model-based developments.
MATLAB/Simulink can be used to create and develop innovative models for different applications. We have picked up and compiled our students' projects, for which they used MATLAB Simulink.
Model representation of the electric car in MATLAB-SIMULINK
Project Description
Our student, Pratik Joshi, worked on an electric vehicle simulation project in which he successfully designed and tested a simple EV car model using MATLAB. He included all major subsystems and estimated SOC (State of Charge), vehicle velocity, and overall energy consumption. He deployed Pl Controller Subsystem to reduce the possible errors and deviations of actual velocity. The EV range test was conducted at 75 Kmph, the average car speed on highways. The Nominal Voltage of the Battery is set as 300V with initial SOC of 100%.
Simulink Model
Project Description
During the charging and discharging cycle of the battery, heat is generated due to internal resistance and exothermic reactions within the battery pack. Efficient cooling systems are essential to managing the generated thermal heat. Our student, Koturu Raghavendra, simulated the thermal effects of a 10-cell series lithium-ion battery model. To determine the performance when a cell falls under faulty conditions, Ragavendra simulated the system by introducing a faulty cell. As a result, that particular cell had higher oscillations in all the graphs. Yet the SOC for all the temperatures remained the same.
Simulink model of Speed control of a DC motor using BJT H-Bridge
Regulating the speed of a DC motor is essential to obtain the desired torque and reduce power usage. Our student, Rajesh Piyal, designed a MATLAB Simulink model to control the speed of a DC motor by deploying BJT (Bipolar Junction Transistor) H-Bridge.
A DC motor's direction can be reversed by changing the polarity of either the field or armature voltage. The speed of a DC motor is controlled by regulating the field flux. To reverse the direction, the field flux is reduced and then increased in the negative direction. During this phase change, the counter emf is also reduced; hence the speed of the armature is increased.
To avoid this, Rajesh Piyal reduced the duty cycle and limited the shoot-up current of the armature of the DC motor.
Autonomous vehicles deploy an intelligence system that can provide a safe ride for their passengers. It automatically traces its path and steers the vehicle in the right direction.
A special feature called a vehicle direction detection system is inbuilt to make this possible. By understanding the direction of the ADAS vehicle, it drives it in the right direction and takes appropriate turns. To enable this feature, the car utilises GPS tracking data. Our student, Ashish Pithawe, developed a MATLAB Simulink model by defining all the signs in the data dictionary. The model he developed can read the signals on the roads and offers a smooth ride.
It is daunting while driving your car during the rain. The driver needs to control the wiper and steer the vehicle simultaneously. To overcome this difficulty, our student, Viraj Brid, developed a Simulink model for a Wiper Control System.
The main objective of this Simulink project is to help drivers by automating the operations of the wiper. The system he developed can calculate the vehicle's speed from the ABS and the density of the rain through sensors. The V-modeled approach helped him to arrive at the best solution after conducting a series of tests.
Simulink Model for E Rikshaw
The electric rickshaw was designed and developed as part of the EV revolution and the automotive sector's initiative to reduce greenhouse gas emissions. The three-wheeled vehicle can carry passengers to their destination locations.
Our student, Anupam, out of interest, created a detailed model MATLAB Simulink model of an electric rickshaw or E-Rickshaw. Anupam utilised PM brushed-type motor for driving the rear wheels. Using the software simulation tools analysed, distinct features such as aerodynamic design, battery energy density, motor output, curb weight, etc. The deployment of a regenerative braking mechanism helped to increase the SOC from 96.2% to 96.5% when it is active. After conducting a detailed study, Anupam found that a BLDC motor could further enhance the efficiency of the vehicle.
The braking mechanism is one of the most crucial subsystems of any vehicle. It is essential to estimate the accurate braking force required. The braking mechanism works on the law of energy conservation, i.e. energy can neither be created nor destroyed but can be converted from one form to another. When the driver applies a braking force, the wheels' kinetic energy is dissipated in the form of heat energy to the surroundings.
The regenerative braking mechanism was deployed to minimise the wastage of energy during the application of brakes, thereby increasing the efficiency of the EV. Our Student, Venkata Rama Subramaniam, developed a MATLAB model that can plot motor speed, torque and efficiency values. These values can be used to calculate the required braking force.
Working on projects as a part of your coursework will help you significantly enhance your theoretical and analytical skills. We at Skill-Lync encourage project-based learning that makes our students find technical solutions for real-time problems.
The above electric vehicle simulation projects using MATLAB Simulink were developed by students like you who chose Skill-Lync as their upskilling partner. Join us and learn how to overcome technical challenges while developing a prototype or MATLAB design.
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Anup KumarH S
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Skill-Lync
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