Abstract
Research and/or Engineering Questions/Objective
In early development phase, development cost reduction is possible by precise evaluation of various e-Powertrain component combinations. The object of this research is to evaluate vehicle performance accurately and quickly - NEDC distance, zero to 100kph time, max speed of traction motor, and temperature of traction motor.
Methodology EV power performance analysis model consists of chassis model with 1 degree of freedom, motor model with thermal network, inverter model, and ESM model. Modelica is used to develop EV power performance analysis model. Chassis model and all of e-Powertrain components are connected through the power flow path. In order to verify the analysis model, two type of MULE CAR are built. One is a B-Segment passenger car, and the other is compact SUV. The chassis dynamo test results of MULE CAR are used for verification.
Results
EV powertrain analysis result shows 95% accuracy in NEDC distance and temperature of traction motor.
Limitations of this study
The EV powertrain performance analysis model does not consider HVAC system, and thermal network of battery; therefore, this analysis is not applicable to EV powertrain at temperatures below freezing.
What does the paper offer that is new in the field including in comparison to other work by the authors?
The analysis model shows high accuracy in EV powertrain performance test: NEDC distance, zero to 100kph time, max speed of traction motor, and temperature of traction motor. This achievement is contributed by multi-domain modeling techniques using Modelica. EV powertrain performance analysis model can be performed mechanically, electrically, and thermodynamically.
Conclusions
New EV powertrain performance model has been developed using Modelica. This 1-D Simulation model has a very short computer simulation time. Therefore, development cost reduction is possible by precise evaluation of various e-Powertrain component combinations in early development phase.
Key Words : Electric Vehicle, e-Powertrain, Modelica, Powertrain performance analysis, Multi-Domain Modelling