Keysight Multi-Domain System Simulation (SimulationX) EV Range Prediction
Demos
This video showcases the use of Keysight Multi-Domain System simulation software (SimulationX) to model and predict the range and energy consumption of a battery electric truck using a vehicle dynamics approach. The model is structured into control and physical layers, connected through a bus system that enables efficient data exchange between subsystems.
A key focus of the simulation is the inclusion of environmental effects, such as ambient temperature, which can be defined as constant or time-dependent. These conditions directly influence important parameters like aerodynamic drag and rolling resistance. For example, rolling resistance varies with temperature due to changes in tire pressure and flexibility. The model also incorporates real-world driving conditions, with elevation and velocity data derived from mapping tools.
The truck system itself is highly detailed, including an electric powertrain (motor, transmission, braking systems), a high-capacity battery (620 kWh), and thermal management systems for both the battery and motor. Auxiliary systems such as cabin heating and a refrigerated trailer (maintaining -20 °C for transported goods) are also modeled, contributing to overall energy consumption. A driver model based on a PID controller ensures adherence to the predefined speed profile.
During simulation, users can visualize system behavior through animated components and multiple charts, including energy loss distribution and route progress.
The video highlights how Keysight Multi-Domain System simulation software (SimulationX) enables engineers to analyze complex interactions, evaluate environmental impacts, and optimize vehicle design and operation strategies for electric mobility applications.