Please read the instructions below and advise
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By asking for help with the following I want to preface by saying I am just asking for help. This is literally my last task and I am lost. If anyone can read this and help me out in any way it would be greatly appreciated!!
Create a performance model for a car
You will create a mathematical performance model for a vehicle based on experimental measurements of the vehicle from standard driving activities. You must be able to interpolate and extrapolate the equations of your model outside the dataset. Your model should be based on accelerating from rest to 35 mph and braking from 35 mph to rest. Your model needs to be able to predict the following things:
- 0 to a given speed time (Example 0 – 35 mph time)
- Braking time from any given speed.
- Engine RPM vs speed for different gears.
- How much gas your car uses for a given course.
- A model of power vs speed for your vehicle.
You will need to take this data to develop your model.
Deliverables: (All should be determined from at least 3 datasets taken between 0 and 35mph.)
- MATLAB graphs, tables and mathematical models of position, velocity and acceleration vs time.
- MATLAB graphs, tables and models of rpm vs time and rpm vs speed.
- MATLAB graphs, tables and models of engine fuel rate vs time.
- MATLAB graphs, tables, and models of your car’s performance on an unknown course.
- MATLAB models of the car’s performance on the drag
Here is what I have so far which is not much:
[~,sheet_name2] = xlsfinfo('OBD2 Data.xlsx');
for j = 1:numel(sheet_name2)
data2{j} = xlsread('OBD2 Data.xlsx',sheet_name2{j});
end;
figure(3)
plot(data2{1,1})
figure(4)
plot(data2{1,2})
figure(5)
plot(data2{1,3})
figure(6)
plot(data2{1,4})
figure(7)
plot(data2{1,5})
figure(8)
plot(data2{1,6})
3 commentaires
Walter Roberson
le 19 Nov 2019
Questions about what you are intended to do should really be addressed to your professor or teaching assistant.
In this reasource, we help people understand specific points of MATLAB, such as what error messages mean, or which function to use to accomplish a limited task (e.g. "how do I calculate eigenvalues of a sparse matrix?")
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