
Students will get to know what this course is about from the short Introduction to the course.
After this lecture, you will be able to answer the following questions:
•What is meant by longitudinal vehicle dynamics?
•What are the Forces and resistances that act on the vehicle?
•What are the vehicle performance characteristics?
After this lecture, you will be able to answer the following questions:
•What is meant by tractive effort?
•How to predict the maximum tractive effort for a vehicle?
After this lecture, you will be able to answer the following questions:
•How can resisting forces affect the vehicle power requirements?
•What are the required characteristics of a power plant and a transmission needed for a vehicle?
After this lecture, you will be able to answer the following questions:
•What is the connection between Tractive Effort and Vehicle Speed?
•How can we predict the performance of a vehicle?
After this lecture, you will be able to :
•Establish the mathematical model of vehicle dynamic performance.
•Simulate the dynamic performance of a vehicle using the tractive effort & resistance Vs. vehicle speed diagram.
•Simulate the dynamic performance of a vehicle using the dynamic characteristic graph.
•Perfrom a dynamic simulation for a vehicle using the power balance diagram-Maximum transmissible power and required power on a level road.
Fit engine speed–torque curve in MATLAB and compute tractive force to analyze vehicle speed up to 175 km/h, five-gear acceleration, and maximum grade around 27 degrees.
After this lecture, you will be able to :
•Establish the mathematical model of electric vehicles for studying the dynamic performance.
•Draw the dynamic simulation curve of the electric vehicle.
•Analyze the factors that affect the power performance of the electric vehicle.
After this lecture, you will be able to:
•Understand the mathematical model of the driving range of electric vehicles under a constant speed condition.
•Simulate and analyze the driving range of electric vehicles under constant speed conditions.
Explore how MATLAB code uses for loops to vary battery capacity, mass, rolling resistance, drag, and efficiencies to plot the driving range versus vehicle speed.
After this lecture, you will be able to:
•Establish the drive motor matching mathematical model.
•Match the drive motor parameters with MATLAB.
•Establish the mathematical model of transmission ratio matching for a two-speed transmission.
•Match the transmission ratios of a two-speed transmission.
•Establish the mathematical model of pure electric vehicle dynamic performance.
•Perform the MATLAB simulation for pure electric vehicle dynamic performance.
Explore MATLAB code for vehicle performance, defining parameters, computing motor power for speed, slope climb, and acceleration, and visualizing power-speed, ramp angle, and gear relationships.
After this lecture, you will be able to :
•Perform parameter matching for the drive motor.
•Perform Battery parameter matching.
•Perform parameter matching for the range extender.
Apply MATLAB code to model vehicle performance, calculating motor power for top speed, climb gradients, and acceleration, and analyze battery capacity, depth of discharge, and range extender requirements.
After this lecture , you will be able to :
•Perform engine and motor parameter matching for a PHEV.
After this lecture , you will be able to :
•Perform mechanical transmission ratio matching for a PHEV.
•Perform battery parameter matching.
Use Matlab code to model a hybrid vehicle's performance, calculating power, acceleration, and mode-specific limits, and analyzing climbing grades and battery capacity across speeds.
After this lecture, you will be able to :
•Establish the drive motor mathematical model.
•Match the drive motor parameters with MATLAB.
•Establish the fuel cell matching mathematical model.
•Match the fuel cell parameters with MATLAB.
After this lecture, you will be able to :
•Establish the mathematical model of the driving range of the electric vehicle under the NEDC cycle condition.
•Simulate and analyze the driving range of the electric vehicle under the NEDC condition.
Analyze MATLAB code to simulate electric vehicle’s driving range under the EDC cycle, dividing the cycle into sections by acceleration, deceleration, and constant speed to compute distance, power, and energy.
After this lecture ,you will be able to :
•Use MATLAB to draw and understand the NEDC cycle working condition diagram of the electric vehicle.
•Match the drive motor parameters based on the NEDC working condition.
After this lecture, you will be able to:
•Match the power battery parameters based on the NEDC working condition.
•Perform a simulation for the dynamic characteristics of electric vehicle with MATLAB.
•Perform a simulation for the driving range of electric vehicle under the NEDC cycle condition with MATLAB.
Using MATLAB, this lecture analyzes power demand and capacity for an electric vehicle over urban and suburban drive cycles, validating a driving range above 300 km.
It is said that the best way to understand a theory is to put it into practice.
This course is an example-based course in which most of the lectures are given as problems that need to be solved through a proper understanding of the theoretical part. Thus, the student will be able to apply what he learns at a fast rate from one example to another.
What you are going to learn from this course:
1-Understand and analyze the different resisting forces that affect the vehicle while driving and build the mathematical resistance model of the vehicle.
2-Analyze Vehicle dynamics that is related to vehicle performance.
3-Study and generate the characteristic curves of a vehicle’s engine and understand how the engine/motor torque is used by the vehicle to overcome road resistances.
4-Understand the influence of Resisting forces on vehicle Power requirements and Model the road resistances in MATLAB.
5-Understand and calculate the performance characteristics of a vehicle ( eg. max. vehicle speed, Acceleration time, Max Grade, Electric vehicle Range).
6-Grab the Know-how of Predicting vehicle performance under certain required driving conditions.
7-Understand how different parameters influence vehicle performance.
8-Simulation of Vehicle Dynamics using the dynamic characteristic graph and determining vehicle power factor.
9-How to Analyze the factors affecting the power performance of an electric vehicle.
10-Learn how to Perform a Driving range simulation for an electric vehicle at a constant speed.
11-Analyzing the performance of (BEV, Battery-powered electric vehicle) based on power characteristics matching simulation of the vehicle transmission system.
12-Grab the Know-how of calculating and determining the electric motor power according to the vehicle resistance requirement.
13-Learn how to perform transmission system matching with MATLAB simulation for Extended-range Electric Vehicles (E-REV).
14-Learn how to select a motor that matches your designed electric vehicle requirements ( parameter matching ).
15-Grab the Know-how of performing a battery parameter matching to achieve the desired requirement for your designed electric vehicle.
16-Know how to Perform a Driving system matching simulation of a fuel cell electric vehicle.
17-Establishment of fuel cell matching mathematical model and Matching fuel cell parameters with MATLAB.
18-Know about cycle state of an electric vehicle –Driving range simulation according to NEDC driving cycle.
19-Analysis and simulation of the driving range of the electric vehicle under the NEDC driving cycle condition.
20-Study of factors affecting the driving range of an electric vehicle.
21-Simulation of Electric vehicle transmission based on a conditional method to match NEDC cycle requirements.
22-learn how to match the driving motor parameters, and power battery based on the NEDC working condition.