Browse Publications Technical Papers 2019-01-0367
2019-04-02

Pure Electric Vehicles Simulation Using Powertrain Energy Estimator Tool 2019-01-0367

This paper* presents the results of simulation using the IAV Powertrain Energy Estimator (PEE) tool developed to evaluate the performance of Pure Electric Vehicles (PEV’s). This tool uses basic physics calculations based on the available vehicle parameters and measured components performance to model any conceptual PEV’s. It calculates the predicated torques, speeds, voltages, efficiency and power passed from one component to other and save all the simulation results in database for further user’s analysis. This PEE tool is a model based simulations and it’s flexible enough to operate on most computers in commercially available MATLAB/Simulink graphical/objective-oriented program. The advantages of using PEE tool is to simplify the usage and the development of PEV’s and their powertrain models simulation in Matlab/Simulink environments. The models of all vehicle components can be easily created and updated on-line from various files loaded with the new component parameters and saved all changes to the model. This paper also presents the estimations of the maximum capacity powers required for the electric motor/battery and evaluate the required final drive ratio. The estimations are mainly based on the vehicle specifications and the required performances, which mainly covers the maximum vehicle speed, acceleration time and road climbing grade.To demonstrate this simulation tool, two type of PEV’s platform applications will be considered: 10 meters transit bus PEV with Rear Wheels Drive (RWD) have two speeds transmission gearbox and a typical OEM passenger PEV with Front Wheels Drive (FWD) has a single speed transmission gearbox. --------------------------------------------------------------------------------------------------------------------------------- (*) This paper #18TMSS-0077 was tentatively accepted for oral presentation at “SAE 2018 Thermal Management Systems Symposium (TMSS)”, San Diego, CA, Oct 9-11, 2018.

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