Non-Linear Model Predictive Control of Cabin Temperature and Air Quality in Fully Electric Vehicles

This article describes an application of Non-linear Model Predictive Control algorithms on energy efficient control fully electric vehicle cabin temperature and air quality. Since vehicles can not utilize waste heat from a powertrain (or there is enough heat) as ICE do, it necessary to employ advanced approaches (especially for heating) due the possible mileage lost by using batteries conditioning. The basic idea behind this avoid losses caused excessive exchange ensure satisfactory quality in combination with user defined temperature. were successfully implemented into Infineon AURIX Tricore microcontroller tested within Processor Loop simulation.