Week-3 Challenge: ADVISOR Tool

Week 3 - Advisor Tool

ADVISOR tool is an Advanced Vehicle Simulator Matlab tool where we can learn about the vehicle from a micro statistics perspective.

This tool is developed by the National Renewable Energy Laboratory, USA. This is based on the scripts & .m files rather than the model files, which helps us to understand the vehicle performance and other calculations easily.

Gives us the idea about drive cycles and compares internally, gives out better efficiency parameters, ranges, emissions, etc., and one can analyze the own set of theories.

Using Advisor Tool to simulate the following:-

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.

Here the cargo mass is set to 500kg and other parameters are unchanged.

The FTP drive cycle is selected and no. of cycles is set to 1.

The following conditions are fed and the simulation is run

For the given values the distance covered is just 17.8kms and the state of charge dropped t0 60%.

for 2 cycles the SOC dropped to 20% with 35.5kms distance covered

for 3 cycles the SOC dropped to 0 and the distance covered is 41.4 kms and not reached 45kms as asked.

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

Here the battery cells increased to 2x to that of the initial value 25.

for 1 cycle FTP

The distance covered is 17.8km with a 20% drop in SOC and the rate of fuel consumption is 2.6, where as initially without a change in values was 2.4

Here the SOC is dropped to 0% at the 5th cycle, where the distance covered is 78.2 kms.

Here the emissions are ignored as it's electric.

3.Perform gradability test with PRIUS_Jpn_defaults_in file & Compare results in a table and conclude.

Additional information on Prius: http://eahart.com/prius/psd/

Gradability Parameters are enabled

for 10 mph gradability is 30.3%

for 20mph gradability is 19.8%

for 30mph gradability is 14.7%

Speed (mph)	Gradability (%)
10	30.3
20	19.8
30	14.7

Therefore Gradability decreases with respect to increase in speed.