Week-3 Challenge: ADVISOR Tool

AIM:

Utilize the ADVISOR tool to assess the feasibility of the EV_defaults_in running for a 45 km distance with a 500 kg cargo mass, maintaining default conditions. Additionally, run simulations with varied battery capacities and conduct a gradeability test using the PRIUS_Jpn_defaults_in file.

PROCEDURE:

Study 1 - Basic Simulation

The ADVISOR tool is executed in MATLAB with the appropriate directory path, employing the Metric unit system. The EV_defaults_in file is loaded, representing a basic Battery Electric Vehicle (BEV) model with front-wheel drive. The electric motor draws power from the battery, propelling the wheel axle.

Block Diagram:

The simulation involves a backward simulation starting from Drive cycle data, analyzing battery performance. A cargo mass of 500 kg is added, with other vehicle parameters maintained at default values.

Select CYC_FTP as the driving cycle.

Set the number of cycles to 1, keeping other parameters at default values.

Run the simulation.

Results:

The vehicle covers 17.8 km in one cycle, indicating the battery is not fully drained.

No on-road emissions observed in the BEV.

Extending the simulation to three cycles reveals the battery drains after covering 41.4 km, short of the 45 km target.

Study 2 - Battery Capacity Variation

Change the battery model from ESS_PB25 to ESS_PB85 with 46 modules (1145 kg). Maintain other parameters from the previous simulation.

Run the simulation with CYC_FTP and three cycles.

Results:

The vehicle covers 53.3 km with SOC not reaching 0, demonstrating improved range.

Conclusively, selecting an appropriate battery is crucial, considering weight and capacity.

Study 3 - Gradeability Test

Load PRIUS_Jpn_defaults_in for the Prius Jpn Hybrid Electric vehicle.

Keep all vehicle parameters at default values.

Enable the 'Gradeability Test' option.

Conduct three gradeability tests at 55 mph with different configurations:

a. Energy storage disabled.

b. Fuel converter disabled, only battery running.

c. Both systems enabled.

Repeat tests at 45 mph.

Results:

Gradeability at 55 mph:

a. Energy storage disabled: 1.7%

b. Fuel converter disabled: 8.9%

c. Both systems enabled: 8.9%

Similar tests at 45 mph yield respective results.

Conclusion:

Energy storage disabled results in low gradeability.

Enabling energy storage significantly improves gradeability, emphasizing its importance.