Challenge

Week-3 Challenge: ADVISOR Tool

HEV WEEK3 CHALLENGE

ANAYZING ELECTRIC VEHICLE PERFORMANCE USING ADVISOR TOOL:

ADVISOR TOOL:

ADVISOR tool is Advance Vehicle Simulator tool
Which used for the rapid analysis of performance and fuel economy of vehicles
The default parameters values in the tool are experimental value measured in labs
To access ADVISOR tool in MATLAb ,ADVISOR tool file downloaded and open advisor.m file
After opening it ,enter advisor in command window
A dialog box appears as shown below.
Click start to enter into the ADVISOR interface.

QUESTION1:

GIVEN CONDITION:

EV DEFAULT MODEL:

Opening EV_defaults_in file from the advisor tool interface
The default EV model is shown below
BY default cargo mass assigned as 136 ,Changing cargo mass to 500kg for our condition
Select continue option and next interface will appear where we can change the drive cycle
Select CYC_FTP option in the drive cycle dropdown box and the FTP drive cycle appear as shown below
RUN the model

RESULT:

The results for the EV default model by considering given conditions is shown below
First graph - The FTP drive cycle
Second graph - State of charge of power source or battery during the cycle
Third graph - Motor controller input power during the cycle
Fourth graph- Power loss for the energy system
By analysing charts ,the distance travelled is 17.8km for one FTP cycle and Battery is not fully drained
So three FTP cycle chose and again running the simulation
The updated results shown below
By analysing the results,with battery fully drained, the total distance vehicle covered is 41.4km

CONCLUSION:

Performance of the EV default model for the FTP drive cycle is observed
And it concluded that with given condition this EV vehicle unable to travel for 45km

QUESTION 2:

FOR THE ABOVE CASE CHANGING BATTERY CAPACITY AND RUNING THE SIMULATION:

EV DEFAULT MODEL:

The default EV model is shown below
Changing the battery capacity ,by changing number of modules to 50 from default value 25
Now testing the vehicle with 3 cycles of FTP driving cycle
RUN the model

RESULT:

The results for the EV default model by considering given conditions is shown below

First graph - The FTP drive cycle
Second graph - State of charge of power source or battery during the cycle
Third graph - Motor controller input power during the cycle
Fourth graph- Power loss for the energy system
By analysing the results,with battery not fully drained, the total distance vehicle covered is 53.3km
The same model analysed for 30 modules of battery with same capacity
And the vehicle travelled for 49km ,fully draining the battery

CONCLUSION:

Observed the results after adding 50 modules of battery with same capacity
Its concluded that ,the vehicle can travel more than 45km without fully draining the battery power
The same observation done for 30 modules of the same battery
And its concluded that ,vehicle can travel upto 49km by fully draining battery power

QUESTION 3:

GRADEABILITY TEST WITH PRIUS_jpn_defaults_in MODEL:

Gradeability is defined as the ability of a vehicle to climb the hill represented in percentage or degree
The model for the PRIUS_jpn is opened in the advisor interface
Click continue and choose the driving cycle in the next interface
CYC_UDDS driving cyccle used in theis model
Click on gradeability test and choose grade option
A dialog box will appear
The gradeability test done for different values to compare the result
Test start by assigning speed to 10mph and duration to 10s
RUn the model

RESULT:

The results of gradeability test of PRIUS model is shown model
For 10mph ,the gradeability obtained is 30.3%
The simulation done for several speed values and the values entered in a table to compare

CONCLUSION:

Gradeability test done for the PRIUS model for different speed values
Its concluded that value of gradeability decreases with increase in the value of velocity
Vehicle on hill climbing condition need more torque and for a increase in speed after a critical velocity ,torque value falls down
This results in the decrease in gradeability of a vehicle

Ship work like this
in your own course.