AI-Based Control of Setpoint Temperature for Electric Vehicle Cabin

Ciji Pearl Kurian; K. S. Padmashree; Anna Merine George

doi:10.1109/AMATHE65477.2025.11081195

AI-Based Control of Setpoint Temperature for Electric Vehicle Cabin

Ciji Pearl Kurian^*
, K. S. Padmashree
, Anna Merine George

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper investigates a novel thermal comfort model for an electric vehicle (EV) cabin using a Predicted Mean Vote (PMV) -based AI model. The PMV model predicts thermal comfort based on ambient temperature, humidity, air velocity, garment thermal insulation, and metabolic rate for fixed indoor environments. The approach involves using a sensor-integrated SIMULINK model based on the CBE thermal comfort tool and information on the temperature-battery efficiency dependency to develop the model. Verified input-output data from the Simulink model. The model predicts the desired setpoint temperature based on PMV and operative temperature. The optimal thermal comfort setpoint promotes energy efficiency and reduces CO2 emissions within the electric vehicle cabin, leading to sustainable transportation. This control unit is designed for hot and humid climate conditions.

Original language	English
Title of host publication	2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331501037
DOIs	https://doi.org/10.1109/AMATHE65477.2025.11081195
Publication status	Published - 2025
Event	2nd IEEE International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Shivamogga, India Duration: 24-04-2025 → 25-04-2025

Publication series

Name	2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Proceedings

Conference

Conference	2nd IEEE International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025
Country/Territory	India
City	Shivamogga
Period	24-04-25 → 25-04-25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure
SDG 13 Climate Action

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Science Applications
Signal Processing
Information Systems and Management
Biomedical Engineering
Health Informatics

Access to Document

10.1109/AMATHE65477.2025.11081195

Cite this

Kurian, C. P., Padmashree, K. S., & George, A. M. (2025). AI-Based Control of Setpoint Temperature for Electric Vehicle Cabin. In 2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Proceedings (2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AMATHE65477.2025.11081195

Kurian, Ciji Pearl ; Padmashree, K. S. ; George, Anna Merine. / AI-Based Control of Setpoint Temperature for Electric Vehicle Cabin. 2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2025. (2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Proceedings).

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title = "AI-Based Control of Setpoint Temperature for Electric Vehicle Cabin",

abstract = "This paper investigates a novel thermal comfort model for an electric vehicle (EV) cabin using a Predicted Mean Vote (PMV) -based AI model. The PMV model predicts thermal comfort based on ambient temperature, humidity, air velocity, garment thermal insulation, and metabolic rate for fixed indoor environments. The approach involves using a sensor-integrated SIMULINK model based on the CBE thermal comfort tool and information on the temperature-battery efficiency dependency to develop the model. Verified input-output data from the Simulink model. The model predicts the desired setpoint temperature based on PMV and operative temperature. The optimal thermal comfort setpoint promotes energy efficiency and reduces CO2 emissions within the electric vehicle cabin, leading to sustainable transportation. This control unit is designed for hot and humid climate conditions.",

author = "Kurian, \{Ciji Pearl\} and Padmashree, \{K. S.\} and George, \{Anna Merine\}",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2nd IEEE International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 ; Conference date: 24-04-2025 Through 25-04-2025",

year = "2025",

doi = "10.1109/AMATHE65477.2025.11081195",

language = "English",

series = "2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Proceedings",

address = "United States",

}

Kurian, CP, Padmashree, KS & George, AM 2025, AI-Based Control of Setpoint Temperature for Electric Vehicle Cabin. in 2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Proceedings. 2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2nd IEEE International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025, Shivamogga, India, 24-04-25. https://doi.org/10.1109/AMATHE65477.2025.11081195

AI-Based Control of Setpoint Temperature for Electric Vehicle Cabin. / Kurian, Ciji Pearl; Padmashree, K. S.; George, Anna Merine.
2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2025. (2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - AI-Based Control of Setpoint Temperature for Electric Vehicle Cabin

AU - Kurian, Ciji Pearl

AU - Padmashree, K. S.

AU - George, Anna Merine

PY - 2025

Y1 - 2025

N2 - This paper investigates a novel thermal comfort model for an electric vehicle (EV) cabin using a Predicted Mean Vote (PMV) -based AI model. The PMV model predicts thermal comfort based on ambient temperature, humidity, air velocity, garment thermal insulation, and metabolic rate for fixed indoor environments. The approach involves using a sensor-integrated SIMULINK model based on the CBE thermal comfort tool and information on the temperature-battery efficiency dependency to develop the model. Verified input-output data from the Simulink model. The model predicts the desired setpoint temperature based on PMV and operative temperature. The optimal thermal comfort setpoint promotes energy efficiency and reduces CO2 emissions within the electric vehicle cabin, leading to sustainable transportation. This control unit is designed for hot and humid climate conditions.

AB - This paper investigates a novel thermal comfort model for an electric vehicle (EV) cabin using a Predicted Mean Vote (PMV) -based AI model. The PMV model predicts thermal comfort based on ambient temperature, humidity, air velocity, garment thermal insulation, and metabolic rate for fixed indoor environments. The approach involves using a sensor-integrated SIMULINK model based on the CBE thermal comfort tool and information on the temperature-battery efficiency dependency to develop the model. Verified input-output data from the Simulink model. The model predicts the desired setpoint temperature based on PMV and operative temperature. The optimal thermal comfort setpoint promotes energy efficiency and reduces CO2 emissions within the electric vehicle cabin, leading to sustainable transportation. This control unit is designed for hot and humid climate conditions.

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DO - 10.1109/AMATHE65477.2025.11081195

M3 - Conference contribution

AN - SCOPUS:105012714186

T3 - 2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Proceedings

BT - 2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd IEEE International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025

Y2 - 24 April 2025 through 25 April 2025

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Kurian CP, Padmashree KS, George AM. AI-Based Control of Setpoint Temperature for Electric Vehicle Cabin. In 2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2025. (2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Proceedings). doi: 10.1109/AMATHE65477.2025.11081195

AI-Based Control of Setpoint Temperature for Electric Vehicle Cabin

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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