Hierarchical Climate Control Strategy for Electric Vehicles with Door-Opening Consideration

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Détails bibliographiques
Auteurs principaux:	Nam, Sanghyeon, Lee, Hyejin, Kim, Youngki, Kwak, Kyoung hyun, Han, Kyoungseok
Format:	Preprint
Publié:	2024
Sujets:	Systems and Control
Accès en ligne:	Acceder al recurso
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author	Nam, Sanghyeon Lee, Hyejin Kim, Youngki Kwak, Kyoung hyun Han, Kyoungseok
author_facet	Nam, Sanghyeon Lee, Hyejin Kim, Youngki Kwak, Kyoung hyun Han, Kyoungseok
contents	This study proposes a novel climate control strategy for electric vehicles (EVs) by addressing door-opening interruptions, an overlooked aspect in EV thermal management. We create and validate an EV simulation model that incorporates door-opening scenarios. Three controllers are compared using the simulation model: (i) a hierarchical non-linear model predictive control (NMPC) with a unique coolant dividing layer and a component for cabin air inflow regulation based on door-opening signals; (ii) a single MPC controller; and (iii) a rule-based controller. The hierarchical controller outperforms, reducing door-opening temperature drops by 46.96% and 51.33% compared to single layer MPC and rule-based methods in the relevant section. Additionally, our strategy minimizes the maximum temperature gaps between the sections during recovery by 86.4% and 78.7%, surpassing single layer MPC and rule-based approaches, respectively. We believe that this result opens up future possibilities for incorporating the thermal comfort of passengers across all sections within the vehicle.
format	Preprint
id	arxiv_https___arxiv_org_abs_2404_00559
institution	arXiv
publishDate	2024
record_format	arxiv
spellingShingle	Hierarchical Climate Control Strategy for Electric Vehicles with Door-Opening Consideration Nam, Sanghyeon Lee, Hyejin Kim, Youngki Kwak, Kyoung hyun Han, Kyoungseok Systems and Control This study proposes a novel climate control strategy for electric vehicles (EVs) by addressing door-opening interruptions, an overlooked aspect in EV thermal management. We create and validate an EV simulation model that incorporates door-opening scenarios. Three controllers are compared using the simulation model: (i) a hierarchical non-linear model predictive control (NMPC) with a unique coolant dividing layer and a component for cabin air inflow regulation based on door-opening signals; (ii) a single MPC controller; and (iii) a rule-based controller. The hierarchical controller outperforms, reducing door-opening temperature drops by 46.96% and 51.33% compared to single layer MPC and rule-based methods in the relevant section. Additionally, our strategy minimizes the maximum temperature gaps between the sections during recovery by 86.4% and 78.7%, surpassing single layer MPC and rule-based approaches, respectively. We believe that this result opens up future possibilities for incorporating the thermal comfort of passengers across all sections within the vehicle.
title	Hierarchical Climate Control Strategy for Electric Vehicles with Door-Opening Consideration
topic	Systems and Control
url	https://arxiv.org/abs/2404.00559

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