Week-3 Challenge: ADVISOR Tool

ADVISOR TOOL :

ADVISOR stands for Advanced Vehicle Simulator.

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.

It is generally used 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:

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

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.

CASE - 1 :

• 'EV_defaults_in' file is loaded at the vehicle input.
• The cargo mass is changed to 500 kg.
• The energy storage (battery module) is kept at 25.
• Press continue to proceed the next step.

• The drivecycle is change to CYC_FTP.
• The number of cycles kept is 1.
• The distance travelled for this cycle is 17.77 km.
• The maximum speed for this cycle is 91.25km/h.

• In this cycle we see that the battery gets over before reaching a distance of 45 km/h.
• The emmissions are 0.

CASE - 2 : Changing the battery capacity.

• In this case we keep the cargo mass to 500 kg.
• And we change the battery module to 30 units.

• Here we select the drivecycle as CYC_FTP.
• The number of cycle is kept as 3.
• Proceed Further.

• Here we can see that the battery has run upto a distance of 49.1 km.
• The state of charge is defined as the ratio of the available capacity, and the maximum possible charge that can be stored in a battery, i.e., the nominal capacity.
• The state of charge graph shows that the charge i n battery decreases along with the vehicle movement.
• The emmission is 0.

2. Perform gradeability test with PRIUS_Jpn_defaults_in file

• We have selected the PRIUS_Jpn_defaults_in in the load file .
• And Continue to proceed further..

• We selected the ratio greadabality test and also chaged the parameters of gradeabality options.
• we selected 'All systems enabled'.
• We need to do the gradeabality test and gradeablity coefficients at various speed limits.
• We performed the test for a range of speed limits (5-35).

The value of gradeability coefficients with respect to various speed limits is as shown below :

SPEED	GRADEABALITY
8	32.8
16.1	30.3
24.1	24.4
32.2	19.8
40.2	16.5
48.3	14.7
56.3	13

Conclusion:

• As the speed goes on increasing the gradeability goes on decreasing.
• With the increase in speed the power to move the vehicle along the gradient is more.
• Speed is inversely proportional to gradeability.