Description:FIELD OF THE INVENTION
This invention relates to Smart Thermal Management System for High-Power Bidirectional DC-DC Converters in Electric Vehicle and DC Microgrid Applications.
BACKGROUND OF THE INVENTION
High-power bidirectional DC-DC converters are widely used in electric vehicles (EVs), DC microgrids, and renewable energy systems to facilitate efficient energy transfer between sources and loads. These converters operate under significant electrical stress, leading to heat buildup in switching devices (MOSFETs, IGBTs), inductors, and capacitors. Excessive heat can degrade component performance, reduce efficiency, and, in extreme cases, lead to system failure.
Existing thermal management solutions rely on fixed-speed air cooling fans or constant-flow liquid cooling, which lack adaptability to varying loads and environmental conditions. These methods often result in inefficient energy use—either overcooling during low-load conditions or inadequate cooling under high thermal stress. Furthermore, reactive cooling approaches activate only after the temperature exceeds a threshold, leading to delayed thermal response and increased stress on power components.
To address these challenges, a smart, predictive, and adaptive thermal management system is required. This system must dynamically regulate cooling mechanisms based on real-time temperature monitoring, predictive thermal models, and adaptive control logic. By integrating temperature sensors, intelligent cooling control, and communication with the converter’s control unit, the system can optimize thermal performance, enhance energy efficiency, and improve overall reliability.
This invention introduces an advanced thermal management system that actively adjusts cooling fan speeds, coolant flow, and switching frequency based on real-time load conditions and ambient temperature. Additionally, a fault detection module ensures safe operation by initiating preemptive derating or controlled shutdown under excessive thermal conditions. This approach significantly enhances the reliability and efficiency of high-power bidirectional DC-DC converters, making them more suitable for demanding applications such as EV fast charging stations, renewable energy storage, and DC microgrid systems.
The present invention relates to an intelligent thermal management system for the high-power bidirectional DC-DC converters to optimize cooling, improve efficiency, and enhance reliability in electric vehicles and DC microgrids.
PRIOR ART
US20220402384: A method for wirelessly or conductively (non-wireless) providing AC or DC power in AC or DC load applications and bidirectional applications.
US20160006253: A DC building electrical system includes a DC power consuming device connected to a DC bus. A source of DC power is connected to the DC bus and powers the DC power consuming device. An energy storage device is connected to the DC bus and to a DC emergency load. The energy storage device powers the DC power consuming device in conjunction with the source of DC power, and powers the DC emergency load when source of power other than the energy storage device is available to the DC power consuming device.

OBJECTS OF THE INVENTION
 Adaptive Cooling Mechanism
Implement a real-time cooling control system that dynamically adjusts fan speed, coolant flow, or heat dissipation based on the converter’s load conditions, switching frequency, and ambient temperature to prevent overheating and improve efficiency.
 Predictive Thermal Management
Integrate predictive thermal models that analyze historical data and real-time temperature readings to anticipate thermal stress, allowing proactive cooling adjustments before excessive temperatures are reached.
 Energy-Efficient Cooling
Minimize power consumption in cooling systems by replacing traditional fixed-speed cooling fans and constant-flow liquid cooling with an adaptive approach that adjusts cooling intensity only when needed.
 Integration with Converter Control
Establish direct communication between the thermal management system and the converter’s control logic to enable real-time adjustments in switching frequency, duty cycle, or power flow, ensuring optimal thermal balance without compromising performance.
 Real-Time Temperature Monitoring
Utilize high-precision temperature sensors to continuously monitor critical components such as MOSFETs, IGBTs, inductors, capacitors, and heat sinks, ensuring early detection of abnormal temperature rise.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
This invention introduces a smart thermal management system for high-power bidirectional DC-DC converters used in electric vehicles (EVs), DC microgrids, and renewable energy systems. Traditional cooling methods, such as fixed-speed fans and constant-flow liquid cooling, lack adaptability, leading to inefficient heat dissipation, excessive power consumption, and potential system failure. The proposed system integrates real-time temperature sensors, predictive thermal models, and adaptive cooling control to enhance efficiency and reliability. It dynamically adjusts fan speed, coolant flow, and switching parameters based on converter load and ambient conditions. Additionally, predictive algorithms anticipate thermal stress, optimizing cooling before overheating occurs. The system communicates with the converter’s control logic, ensuring an optimal thermal balance without performance trade-offs. A fault detection module enables automatic derating or shutdown to prevent damage. This modular and scalable solution significantly improves energy efficiency, system longevity, and operational safety in high-power DC applications.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1: SYSTEM ARCHITECTURE
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The present invention relates to a smart thermal management system designed for high-power bidirectional DC-DC converters used in electric vehicles, renewable energy storage systems, and DC microgrids. Traditional thermal management techniques, including fixed-speed fans and constant-flow liquid cooling, lack adaptability and often lead to inefficient cooling, higher power consumption, and reduced reliability of power electronics.
In one embodiment, the invention integrates real-time temperature sensors, predictive thermal models, and adaptive cooling control to dynamically regulate the thermal environment of the converter. The sensors continuously monitor critical components such as MOSFETs, IGBTs, inductors, capacitors, and heat sinks, generating precise data on thermal conditions.
The adaptive cooling system modulates fan speed and coolant flow according to converter load and ambient conditions, preventing both overcooling during low demand and insufficient cooling under stress. Predictive algorithms analyze historical operating data along with real-time measurements to anticipate thermal stress and initiate cooling adjustments proactively.
The system is further configured to communicate with the converter’s control logic, enabling real-time adjustment of switching frequency, duty cycle, or power flow to minimize heat generation. A fault detection module is also provided to initiate automatic derating or controlled shutdown in the event of excessive temperature rise, ensuring safe operation and preventing damage.
Compared to conventional systems, the invention minimizes power consumption by replacing fixed cooling methods with adaptive techniques that operate only when required. Its modular and scalable architecture makes it suitable for diverse applications, including EV fast charging, renewable energy integration, and DC microgrids.
This invention integrates real-time temperature sensing, intelligent cooling control algorithms, and the adaptive switching techniques to maintain optimal thermal conditions dynamically. The system continuously monitors the converter’s key components (MOSFETs, inductors, capacitors) and modulates cooling intensity through variable-speed fans or liquid cooling systems, based on the actual thermal load rather than operating at a fixed rate.
Additionally, the invention incorporates predictive thermal modeling and health monitoring algorithms to detect early signs of overheating and component stress. The control system communicates with the converter’s main controller, allowing real-time adjustments in the switching frequency or duty cycles to reduce heat generation during critical load conditions.
This invention presents a smart thermal management system for high-power bidirectional DC-DC converters used in electric vehicles (EVs), DC microgrids, and renewable energy applications. Conventional cooling methods, such as fixed-speed fans and constant-flow liquid cooling, are inefficient in the handling dynamic load variations and fluctuating ambient conditions, leading to overheating, reduced efficiency, and component degradation. The proposed system integrates real-time temperature sensors, predictive thermal models, and adaptive cooling control the optimize thermal performance. It dynamically adjusts fan speed, coolant flow, and switching parameters based on operating conditions, ensuring efficient heat dissipation with the minimal power consumption. Predictive algorithms anticipate thermal stress, allowing proactive cooling adjustments, while a fault detection module enables automatic derating or shutdown to prevent damage. This modular and scalable solution enhances efficiency, reliability, and operational safety, making it ideal for EV fast charging, renewable energy storage, and industrial power applications.
The novelty of the proposed invention is the integration of the real-time adaptive thermal control with predictive monitoring to dynamically optimize cooling and enhance converter reliability.
BEST METHOD OF WORKING
The best method of working the invention involves implementing the thermal management system as an integrated module within a high-power bidirectional DC-DC converter. High-precision temperature sensors are mounted on key components such as MOSFETs, IGBTs, inductors, and capacitors to continuously monitor operating conditions.
The sensor data is processed by predictive thermal models, which combine historical patterns with real-time values to forecast thermal stress. Based on this analysis, the control algorithm dynamically adjusts fan speeds and coolant flow rates, ensuring that cooling is proportional to the actual thermal load.
The system further communicates with the converter’s main controller to modify switching parameters, such as duty cycle or frequency, in order to reduce heat generation during high-load conditions. A fault detection module constantly evaluates system safety and automatically triggers derating or controlled shutdown if critical thresholds are exceeded.
This best mode ensures that the converter operates with optimal cooling, minimal energy consumption, and maximum reliability, while maintaining compatibility with electric vehicles, renewable systems, and microgrid applications.
ADVANTAGES OF THE INVENTION
1. The proposed system dynamically adjusts cooling based on real-time temperature and load conditions, unlike conventional fixed cooling methods.
2. It features predictive thermal modeling and early fault detection to the prevent overheating, which is absent in most existing solutions.
3. The system communicates with the converter controller to adjust switching parameters for reducing thermal stress, whereas traditional solutions operate independently.
4. Cooling is intelligently controlled, reducing unnecessary energy consumption compared to continuous operation in conventional systems.
5. The proposed system is designed for compact setups and can easily scale to higher power levels, overcoming space and scalability issues in current solutions.
, Claims:1. A smart thermal management system for high-power bidirectional DC-DC converters comprising real-time temperature sensors, predictive thermal models, and adaptive cooling control configured to dynamically optimize thermal performance.
2. The system as claimed in claim 1, wherein fan speed and coolant flow are adjusted based on real-time load conditions and ambient temperature.
3. The system as claimed in claim 1, wherein predictive algorithms anticipate thermal stress and initiate cooling adjustments before overheating occurs.
4. The system as claimed in claim 1, wherein the thermal management system communicates with the converter control logic to adjust switching frequency and duty cycle to reduce thermal stress.
5. The system as claimed in claim 1, wherein a fault detection module enables automatic power derating or controlled shutdown under excessive thermal conditions.
6. The system as claimed in claim 1, wherein high-precision sensors continuously monitor components including MOSFETs, IGBTs, inductors, capacitors, and heat sinks.
7. The system as claimed in claim 1, wherein adaptive cooling replaces fixed-speed fans and constant-flow liquid cooling for improved energy efficiency.
8. The system as claimed in claim 1, wherein the predictive thermal models integrate historical operating data with real-time sensor data for improved accuracy.
9. The system as claimed in claim 1, wherein the thermal management system reduces unnecessary power consumption by dynamically controlling cooling intensity only when required.
10. The system as claimed in claim 1, wherein the modular design is scalable for high-power DC applications including electric vehicles, renewable energy storage, and DC microgrids.