This repository contains models, parameter data, control algorithms and results data for Doctoral Dissertation titled "Contributions to Passenger and Commercial Hybrid Electric Vehicle Energy Management Control" submitted by Aman Ved Kalia in June, 2020 at University of Washington, Seattle.
The models and functions were made in MATLAB 2018b and would run properly in that version of the application software.
The link to the dissertation will be added once published! - TBA
The passenger vehicle model is based on a Series Hybrid Electric Vehicle/ Extended Range Electric Vehicle architecture. The parameters can be changed to represent a different SHEV/EREV architecture vehicle.
Follow these steps to run the model:
- Access the Matlab script file "startPwrLossMdl.m" inside the Passenger_Vehicle_Model directory.
- The selectable parameters in the script can be updated as desired.
- Run the script
- The script should open a model named "SHEV_Camaro_PwrLossMdl.slx"
- There are some masked blocks inside the model that can be updated and manipulated to run as desired.
The commercial vehicle platoon model implements three different architectures inside the main environment. These include a conventional, series-parallel hybrid electric and battery electric 6x4 Class 8 long haul semi-truck. The trucks implement forward looking perception system and a framework for vehicle-to-vehicle (V2V) communication.
Follow these steps to run the model:
- Access the Matlab script file "startHetPlatoonModel.m" inside the Commercial_Vehicle_Platooning_Model > Models directory.
- The selectable parameters in the script can be updated as desired.
- Run the script
- The script should open a model named "het_platoon_model.slx"
- There are some masked blocks inside the model that can be updated and manipulated to run as desired.
The energy consumption planner is an application built to integrated Google API tools to generate an estimated power and energy profile for the SHEV/EREV. The planner can be changed to estimate the same for commercial vehicles by updating the road load coefficients used.
Follow these steps to run the application:
- Setup your personal Google API Key online.
- Save the personal key using "saveGoogleAPIKey.m" function in GoogleAPI_Functions directory for future use.
- Run the script "runEnergyConsPlanner.m" in Energy_Consumption_Planner to initiate the application.
- Enter required Origin and Destination information.
- The data obtained can be saved by uncommenting the save section in the script and changing the directory as desired.
P.S.: The plot_google_map directory inside GoogleAPI_Functions was not authored by the owner of this repository. All the contents of that directory belong to Zohar Bar-Yehuda and the license present in that directory superscedes the LICENSE for this repository. The owner of this repository acknowledges the plot_google_map tool developed by Zohar Bar-Yehuda in generating google map plots for visualization.
For any questions regarding the model or contents of this repository send an email to amanved[dot]kalia[at]gmail[dot]com with the subject line starting with [PhDRepo]: