Week-3 Challenge: ADVISOR Tool

AIM: To use the ADVISOR tool for simulation of an electric vehicle in order to get the performance.

OBJECTIVES:

• Initially, we are selecting EV_default_in file, if cargo mass by 500 is added with all default conditions. We have to find can the vehicle travel for 45Km with an FTP drive cycle and study the observations.

• For the above case by changing the battery capacity we study and carry out the simulation.

• Lastly, we are studying the gradeability test for the PRIUS_Jpn_defaults_in file and compare the results.

THEORY:

ADVISOR TOOL (Advanced vehicle simulator model) is used to construct models that use macro statics from duty cycles and cycle averaged efficiencies of components for near-instantaneous prediction of fuel consumption and performance of the electric and hybrid vehicles. This is an old and popular tool that was created by the national laboratory for renewable energy(NREL) and the development of energy in, USA. This tool uses a backward flow process from the driving cycle to energy storage.

How to start the ADVISOR tool

• Launch the MATLAB software and initially select the location of the advisor.m folder.
• In the command window of MATLAB type "Advisor" and press enter.
• A new window will open and then select "metric" for unit and start the advisor tool. This will launch into a new GUI called the Vehicle input parameter.

ADVISOR tool consists of three windows or GUI(Graphical user interface)

• Vehicle input window.
• Simulation parameter window.
• Results window.

CASE STUDY 1:

For EV_default.in file, if cargo mass by 500 is added with all default conditions, can the vehicle travel for 45Km with an FTP drive cycle.

First, select the EV_default_in from the load file drop-down menu and change parallel_default_in to EV_default_in from the vehicle input window.

• Now change the cargo mass to 500 Kg. By changing cargo mass total mass of the vehicle changes which can be seen.
• Clicking on the continue button will be directed to the next new window which is the simulation parameter window.

• In the simulation, the parameter window the drive cycle changes to CYC_FTP from the drive cycle drop-down menu.
• Below we # of cycles for this, we have to set the drive cycle.
• After selecting the RUN button, the simulation will start and results will be displayed in a new window.

For 1st drive cycle

The distance traveled by the vehicle in a 1 drive cycle is 11miles(17.7 Km) where SOC is 40% used.

Increasing the drive cycle to 2

Results for 2nd drive cycle

The distance traveled by the vehicle in a 2 drive cycle is 22miles(35.4 Km) where SOC is 80% used.

Increasing the drive cycle to 3

Results for 3rd drive cycle

The distance traveled by the vehicle in a 3 drive cycle is 25.7miles(41.3 Km) where SOC is 100% used.

CONCLUSION:

No of drive cycles Distance traveled(Km)

1 17.7

2 35.4

3 41.3

The minimum distance traveled by an electric car is 17.7 Km for the 1st drive cycle where 40% of the battery is consumed and the maximum distance traveled by an electric car is 41.3 Km which consumes 100% of the battery for 3 drive cycles.

Therefore Electric default cannot travel distance of 45 Km due to insufficient SOC.

CASE STUDY 2:

For the above case, change the battery capacity and conduct the simulation.

• In the vehicle input window, we will change the capacity of the battery from energy storage which will be open on 1st.
• Under Energy storage "# of mod V nom" describes the battery capacity. Hence we change the module of the number of batteries from the first box. Therefore we see a change in voltage and weight of a battery.
• A new simulation parameter window will open. Here we will change the drive cycle from 2 to 3 for a given time interval and run the simulation one at a time.
• After computing the simulation, we get a result window where we study the distance traveled by the vehicle.
• We repeat the simulation by changing the battery module and drive cycle.

An energy storage system with 26 modules (2 drive cycle)

An energy storage system with 27 modules (2 drive cycle)

An energy storage system with 28 modules (2 drive cycle)

An energy storage system with 26 modules (3 drive cycle)

An energy storage system with 27 modules (3 drive cycle)

An energy storage system with 28 modules (3 drive cycle)

Drive cycle 2:

BATTERY MODULE	BATTERY WEIGHT	VOLTAGE	Km
26	286	321	35.5
27	297	333	35.5
28	308	345	35.5

Drive Cycle 3:

BATTERY MODULE	BATTERY WEIGHT	VOLTAGE	Km
26	286	321	42.64
27	297	333	44.73
28	308	345	46.34

CONCLUSION:

• By changing the number of battery modules of electric vehicle in drive cycle 2 so that we get the constant distance traveled as shown in the above table.
• For drive cycle 3 we are changing battery modules we get a change in distance traveled as shown in the above table.
• This electric vehicle in order to cover a 45 km distance it takes 28 modules of battery and a 345-volt battery is required.

CASE STUDY 3:

we are studying the gradeability test for the PRIUS_Jpn_defaults_in file and compare the results.

• In this ADVISOR tool to change the load file from EV_default_in model to Toyota Prius, we have to select PRIUS_Jpn_defaults_in from the drop-down menu in-vehicle input window. Then continue to the new window.
• In the simulation parameter window, we have to select CYC_FTC from the drive cycle option also we have to change the number of drive cycles to 3.
• To care out the gradeability test we have to change the parameters by selecting the gradeability test option and in grade options, a new dialogue box will open.
• In the grade test advanced options we have to change the speed or duration according to the simulation to be performed. Click on OK and run the simulation as a result window will open depending on the input data.

RESULTS FOR 10 SECONDS DURATION:

In this process, we are calculating for variation in speed from 40kmph to 56kmph by keeping the time duration for 10 seconds.

For speed 25 mph or 40.2kmph

Gradeability is 16.5%

For speed 30 mph or 48.28 kmph

Gradeability is 14.7%

For speed 35 mph or 56.32 kmph

Gradeability is 13%

For speed 40 mph or 64.37 kmph

Gradeability is 11.7%

RESULTS:

For 10 second duration

S.NO	VEHICLE SPEED(mph)	VEHICLE SPEED(Kmph)	GRADEABILITY
1	25	40.2	16.5
2	30	48.28	14.7
3	35	56.32	13
4	40	64.37	11.7

RESULTS FOR 20 SECONDS DURATION:

For speed 25 mph or 40.2 kmph

Gradeability is 19.7%

For speed 30 mph or 48.28 kmph

Gradeability is 17.7%

For speed 35 mph or 56.32 kmph

Gradeability is 16%

For speed 40 mph or 64.37 kmph

Gradeability is 14.6%

RESULTS:

For 20 second duration

S.NO	VEHICLE SPEED(mph)	VEHICLE SPEED(kmph)	GRADEABILITY
1	25	40.2	19.7
2	30	48.28	17.7
3	35	56.32	16
4	40	64.37	14.6

From the above tables here it's seen that when the vehicle speed increases there is a decrease in gradeability for both times 10 and 20 second durations.

Hence when vehicle speed increases there is a decrease in gradeability.