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  1. Home/
  2. Jayant chikankar/
  3. Week-3 Challenge: ADVISOR Tool

Week-3 Challenge: ADVISOR Tool

Aim : 1.   For EV_defaults_in file, if cargo mass is 500 kg with all other default conditions, can the vehicle travel for 45 km with FTP drive cycle? Conclude your  observations. Theory :    ADVISOR, NREL’s ADvanced VehIcle SimulatOR, is a set of model, data,…

  • BIM
  • CAE
  • CFD
  • CSS
  • DEM
  • Jayant chikankar

    updated on 13 Aug 2022

Aim : 1.   For EV_defaults_in file, if cargo mass is 500 kg with all other default conditions, can the vehicle travel for 45 km with FTP drive cycle? Conclude your  observations.

Theory :   

ADVISOR, NREL’s ADvanced VehIcle SimulatOR, is a set of model, data, and script text files for use with Matlab and Simulink.  It is designed for rapid analysis of the performance and fuel economy of conventional, electric, and hybrid vehicles.  ADVISOR also provides a backbone for the detailed simulation and analysis of user defined drivetrain components, a starting point of verified vehicle data and algorithms from which to take full advantage of the modeling flexibility of Simulink and analytic power of MATLAB.

You may benefit from using ADVISOR if you want to:

estimate the fuel economy of vehicles that have not yet been built

learn about how conventional, hybrid, or electric vehicles use (and lose) energy throughout their drivetrains

compare relative tailpipe emissions produced on a number of cycles

evaluate an energy management strategy for your hybrid vehicle’s fuel converter

optimize the gear ratios in your transmission to minimize fuel use or maximize performance, etc.

The models in ADVISOR are:

1 . mostly empirical, relying on drivetrain component input/output relationships measured in the laboratory, and

2 . quasi-static, using data collected in steady state (for example, constant torque and speed) tests and correcting them for transient effects such as the rotational inertia of drivetrain components.  

Advisor tool have three windows. 

A . vehicle input window.

B .  simulation parameter window.

C .  result window. 

How to? Start advisor tool.

First,  launch MATLAB and first set default location folder to the advisor. 

Second,  now in the command window of Matlab type  "advisor" and press enter. 

Third, a new window will open. And then set metric for unit and start advisor.

It will launch a new Default window.

 

Step 1 .

Load the advisor tool from the Matlab command window and select matrix system. And load EV_default_in file and

Change the cargo weight to 500 And

keeping the remaining variable same and

hit continue to load the drive cycle page. 

Step 2 .

For our requirement we need to use  FTP based cycle  And hit to run.

Step 3.

As we need total distance cover to be 45 kilometer and this drive cycle can only complete 41.1km . So we need more than one drive cycle to complete more than 45 kilometres, so we can use more than three drive cycle. 

Step 4.

 As we can see, warning sign popups in which,  It means that the distance is more than the range of the current battery, so the vehicle cannot travel 45 kilometer, but it will be showed by 3.2 kilometers before.

 

Observation result :

if we increase the no. of drive cycle then we may travel above 45km. 

 

 

==============================================================================================================================================================================

 

Aim: 2.   In the above case, try changing the battery capacity and repeat the simulation.

keeping all parameters unchanged we just have varied the battery capacity from 25 to 60 (which is 2.4 times )

after changing the battery capacity to 60 and then pressing continue 

Same cycle of 3 as it was before 

By incresing the battery capacity , the vehicle can travel more than 45km in the same cycle (3cycle same as before ) which is the distance is 53.3 km (more than our range ) .

 

 

==============================================================================================================================================================================

 

Aim : 3.   Perform gradeability test with PRIUS_Jpn_defaults_in file.  Compare your results in table and conclude. 

Step 1. Select the Prius_Jpn_defaults_in    then hit continue button .

  

Step 2 . Select the grade Option the new window will popup 

Step 3. Change the speed value here I choose 60 for example. then select fuel converter disabled , that means our vehicle is Fully electric . hit ok button then next...

Step 4 . Here , you can see , the greadibility is 8.1% at a speed of 96.6km/h covering the distance of 12km 

. 

Similarly , we can repeat the above process with different values of speed and carry out the table for each speed and its greadibility test 

At speed 30mph the greadibility is shown 

  at speed 10 miles /h 

 

S.no : 

Speed (mph)

Speed at Greadibility(km/h)

 Greadibility(%)

distance (km)

vehicle type

1

60

96.8

 8.1

12

electrice

2

30

48.3

14.7

12

electric

3

10

16.1

30.3

12

electric

Conclusion :

Through this table we can conclude that when the speed increases the greadibility decreases and vice versa .

Result :   The greadibilty are 8.1,14.7,30.3 for the speed 60,30,10  respectively .

 

 

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Read more Projects by Jayant chikankar (12)

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Objective:

Q.Develop the Simulink model based on the given requirements and also create SLDD file and link the same to the model. Perform the complete V and V workflow for the obtained model   Development of TFT Cluster Speedometer Software Component   Cluster Instrument receives the signals from other ECU via CAN bus interface.…

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  • MATLAB
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Project 1 - Wiper control system and Vehicle speed calculation for ABS using Wheel Speed sensor

Objective:

Wiper control system Develop Simulink/state flow model for wiper control system based on the given conditions. Description of Challenge: If the density of the rain is low, then wiper rotates with low speed & the output signal should be 100rpm If the density of the rain is medium, then wiper rotates with medium speed…

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    Week-11 Challenge: Braking

    Objective:

    Aim #1 :   For a defined driving cycle, calculate the energy required for braking. Theory : For a defined driving cycle, calculate the energy required for braking. At first, the drive cycle is determined in a Table and a plot is made. Using the plot, the values from the braking regions of the vehicle are…

    calendar

    10 Sep 2022 05:24 PM IST

    • MATLAB
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    Week-7 Challenge: DC Motor Control

    Objective:

    Aim : 1. A. Explain a MATLAB demo model named ‘Speed control of a DC motor using BJT H-bridge’. Comment on the armature current shoot-up from the scope results. Refer to the help section of ‘The Four-Quadrant Chopper DC Drive (DC7) block’. Compare it with the H-bridge model. BAsic discussion…

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    06 Sep 2022 08:53 AM IST

    • MATLAB
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