prikaz prve stranice dokumenta Multi-Objective Optimisation-Based Design of an Electric Vehicle Cabin Heating Control System for Improved Thermal Comfort and Driving Range
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Scientific paper - Original scientific paper
Multi-Objective Optimisation-Based Design of an Electric Vehicle Cabin Heating Control System for Improved Thermal Comfort and Driving Range
Energies, 14 (2021), 4; 1203-1228. https://doi.org/10.3390/en14041203
Cvok, Ivan; Ratković, Igor; Deur, Joško

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

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Cvok, I., Ratković, I. & Deur, J. (2021). Multi-Objective Optimisation-Based Design of an Electric Vehicle Cabin Heating Control System for Improved Thermal Comfort and Driving Range. Energies, 14. (4), 1203-1228. doi: 10.3390/en14041203

Cvok, Ivan, et al. "Multi-Objective Optimisation-Based Design of an Electric Vehicle Cabin Heating Control System for Improved Thermal Comfort and Driving Range." Energies, vol. 14, no. 4, 2021, pp. 1203-1228. https://doi.org/10.3390/en14041203

Cvok, Ivan, Igor Ratković and Joško Deur. "Multi-Objective Optimisation-Based Design of an Electric Vehicle Cabin Heating Control System for Improved Thermal Comfort and Driving Range." Energies 14, no. 4 (2021): 1203-1228. https://doi.org/10.3390/en14041203

Cvok, I., Ratković, I. and Deur, J. (2021) 'Multi-Objective Optimisation-Based Design of an Electric Vehicle Cabin Heating Control System for Improved Thermal Comfort and Driving Range', Energies, 14(4), pp. 1203-1228. doi: 10.3390/en14041203

Cvok I, Ratković I, Deur J. Multi-Objective Optimisation-Based Design of an Electric Vehicle Cabin Heating Control System for Improved Thermal Comfort and Driving Range. Energies [Internet]. 2021 February 23 [cited 2024 July 13];14(4):1203-1228. doi: 10.3390/en14041203

I. Cvok, I. Ratković and J. Deur, "Multi-Objective Optimisation-Based Design of an Electric Vehicle Cabin Heating Control System for Improved Thermal Comfort and Driving Range", Energies, vol. 14, no. 4, pp. 1203-1228, February 2021. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:235:521555. [Accessed: 13 July 2024]

Metadata
Title (english)Multi-Objective Optimisation-Based Design of an Electric Vehicle Cabin Heating Control System for Improved Thermal Comfort and Driving Range
AuthorIvan Cvok
AuthorIgor Ratković
AuthorJoško Deur
Author's institutionUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
(Department of Robotics and Production System Automation)
(Chair of Engineering Automation)
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract (english)
Modern electric vehicle heating, ventilation, and air-conditioning (HVAC) systems operate in more efficient heat pump mode, thus, improving the driving range under cold ambient conditions. Coupling those HVAC systems with novel heating technologies such as infrared heating panels (IRP) results in a complex system with multiple actuators, which needs to be optimally coordinated to maximise the efficiency and comfort. The paper presents a multi-objective genetic algorithm-based control input allocation method, which relies on a multi-physical HVAC model and a CFD-evaluated cabin airflow distribution model implemented in Dymola. The considered control inputs include the cabin inlet air temperature, blower and radiator fan air mass flows, secondary coolant loop pump speeds, and IRP control settings. The optimisation objective is to minimise total electric power consumption and thermal comfort described by predictive mean vote (PMV) index. Optimisation results indicate that HVAC and IRP controls are effectively decoupled, and that a significant reduction of power consumption (typically from 20% to 30%) can be achieved using IRPs while maintaining the same level of thermal comfort. The previously proposed hierarchical HVAC control strategy is parameterised and extended with a PMV-based controller acting via IRP control inputs. The performance is verified through simulations in a heat-up scenario, and the power consumption reduction potential is analysed for different cabin air temperature setpoints.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleEnergies
Numberingvol. 14, no. 4, pp. 1203-1228
p-ISSN1996-1073
DOIhttps://doi.org/10.3390/en14041203
URN:NBNurn:nbn:hr:235:521555
Publication2021-02-23
Document URLhttps://www.mdpi.com/1996-1073/14/4/1203
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2024-07-05 11:42:48