EV range prediction

KULI allows comfortable generation of simulation models for electric vehicle cooling systems using the KULI battery model, KULI e-machine model and KULI power electronics models (DC/DC or DC/AC). Apart from general thermal management (e.g. cooling package design and layout) and energy management (e.g. investigation of thermal losses in the electric powertrain) topics, one main application is the prediction of the vehicle range.


EV range varies strongly based on ambient conditions and related energy consumption of the HVAC system (heating in winter and cooling in summer). KULI can simulate all these effects by including the AC system and the KULI multi-zone cabin model into a complete vehicle simulation model. Apart from analyzing a baseline system this also allows the optimization of the thermal management for example by modifying the HVAC operating strategies.

Usage of the model

The range prediction sub-system provided in the enclosed example predicts the expected vehicle range over a user-defined drive cycle. The predicted range is calculated based on energy usage during the cycle and remaining usable battery charge. As the efficiency of the vehicle depends on the operating point, this value will change during the transient simulation. This allows not only evaluating the expected range after the complete cycle (e.g. NEDC) but also the identification of factors which influence the vehicle range in a positive or negative way.

This subsystem can be used in the context of the provided vehicle simulation model, but can also be exported and used in other similar applications without any problems.

The example provided for this application is also investigated in much detail during free of charge KULI thermal management workshops held several times each year at different worldwide locations.

Related KULI modules


see online library (search for "operating distance" or "electric passenger car")