ADAPTIVE THERMAL MANAGEMENT SYSTEM FOR ENHANCED ENERGY EFFICIENCY IN HYBRID VEHICLES

Abstract

The present invention relates to an Adaptive Thermal Management System (ATMS) for hybrid vehicles designed to optimize energy efficiency and enhance performance through dynamic thermal regulation of critical components. The system comprises a network of temperature sensors that continuously monitor the thermal conditions of batteries, electric motors, and internal combustion engines. A central control unit analyzes this data in real-time and adjusts the operation of integrated cooling and heating mechanisms accordingly. By employing advanced algorithms, including machine learning, the ATMS predicts future thermal states and proactively manages temperature fluctuations, ensuring optimal operating conditions. The system features a user interface that provides real-time insights into thermal management processes, allowing vehicle operators to make informed decisions. The ATMS effectively minimizes energy losses, extends the lifespan of vehicle components, and contributes to reduced emissions, thereby promoting a

Specification

Description:The embodiments of the present invention generally relate to the field of automotive engineering, specifically to thermal management systems in hybrid vehicles. More particularly, it pertains to an Adaptive Thermal Management System (ATMS) designed to optimize energy efficiency by dynamically regulating the thermal conditions of critical vehicle components, such as batteries, electric motors, and internal combustion engines, based on real-time environmental and operational data.
BACKGROUND OF THE INVENTION
The following description of related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section be used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of prior art.

Hybrid vehicles represent a significant advancement in automotive technology, , Claims:1. An Adaptive Thermal Management System for hybrid vehicles, comprising:
a plurality of temperature sensors distributed throughout the vehicle to monitor the thermal conditions of critical components including batteries, electric motors, and internal combustion engines;
a control unit configured to receive and analyze data from the temperature sensors and to dynamically adjust the operation of cooling and heating mechanisms based on real-time temperature readings;
cooling and heating mechanisms operatively connected to the control unit, wherein the control unit selectively activates and deactivates said mechanisms to maintain optimal thermal conditions for each critical component based on the analyzed data.

2. The system of claim 1, wherein the control unit employs a machine learning algorithm to predict future thermal conditions of the components based on historical temperature data and operational parameters.

3. The system of claim 1, wherein the cooling mechanisms include a liquid cooling system that ci

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