A Novel Approach Using Model Predictive Control to Enhance the Range of Electric Vehicles

Eckstein, Julian; Lüke, Christopher; Brunstein, Frederik; Friedel, Patrick; Köhler, Ulrich; Trächtler, Ansgar

doi:10.1016/j.protcy.2016.08.024

Cited by 8 publications

(1 citation statement)

References 7 publications

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“…The indoor air quality control is quite often used in building environment control, in combination with MPC, reported, for example by [19]. The authors of [20] proposed linear MPC for vehicle cabin heating, and in conclusion they call for considering cabin air recirculation in an MPC control strategy.…”

Section: Introductionmentioning

confidence: 99%

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

Glos

Otava

Václavek

2021

IEEE Trans. Veh. Technol.

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

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Section: Introductionmentioning

confidence: 99%