Demonstration of a Nonlinear Model Predictive Control of a Thermal Management System for Electric Vehicles in Real-Time

Fischer, Torben; Kraus, Tom; Kirches, Christian; Gauterin, Frank

doi:10.1109/ccta.2018.8511616

Cited by 6 publications

(2 citation statements)

References 13 publications

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“…Actually, heat pumps exhibit improved heating and cooling power transfer rates [20][21]. Besides, the solution of the associated nonlinear optimal control problem can further upgrade heat pumps' efficiency [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear optimal control of heat pumps in electric vehicles

Rigatos,

Siano,

Cuccurullo

et al. 2024

International Conference of Numerical Analysis and Applied Mathematics: Icnaam2022

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Section: Introductionmentioning

confidence: 99%

Nonlinear optimal control of heat pumps in electric vehicles

Rigatos,

Siano,

Cuccurullo

et al. 2024

International Conference of Numerical Analysis and Applied Mathematics: Icnaam2022

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“…Model predictive on-off control for cabin heating in ICE vehicles was developed and implemented in [14]. The HVAC system, including the heat pump, was successfully controlled by NMPC in [15] with NMPC running on an Intel i5 2.6 GHz quadcore processor of a laptop. The model of the automotive air-conditioning/refrigeration system with cargo was assembled in [16] and the authors showed that several different types of MPC controllers provide substantially better performance (in terms of power consumption and cargo temperature reference tracking) compared to the on/off controller.…”

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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