UDC 621.314.21
DOI: 10.36871/ek.up.p.r.2025.04.02.012

Authors

Valerij M. Butakov,
Alexander M. Antipanov,
Kazan State Energy University, Kazan, Russian Federation

Abstract

Increasing the energy and power density in modern electric vehicles and stationary energy storage devices is accompanied by an increase in thermal loads on battery packs and power units. Effective management of heat flows is becoming a critical condition for ensuring the reliability, energy efficiency and safety of the power plant. In this study, we propose an architecture for an integrated thermal management system that combines active cooling, adaptive heating, and intelligent control of operating modes. We simulated temperature gradients in battery modules and electric motors under various operating scenarios. We present energy-saving control algorithms that take into account weather conditions, load, and heat balance dynamics. We evaluate the economic effect of implementing intelligent thermal control based on reducing energy costs and extending the service life of equipment. The results demonstrate the potential for optimizing thermal management costs while maintaining the required temperature parameters and increasing the overall energy efficiency of systems.

Keywords

thermal management, batteries, electric motor, cooling, heating, energy saving, temperature control, intelligent system, thermal model, operational reliability