Description:BACKGROUND
Field of Invention
[001] Embodiments of the present invention generally relate to a power backup system and particularly to a multi-source adaptive power backup system for batteries.
Description of Related Art
[002] Lithium-ion batteries (LIBs) have become the dominant energy storage solution for a wide range of applications, including electric vehicles, consumer electronics, and Internet of Things (IoT) devices. Their high energy density, long cycle life, and efficiency make them a preferred choice over traditional lead-acid and nickel-based batteries. However, despite their advantages, LIBs are prone to power failures caused by capacity degradation, thermal instability, and sudden discharge events. To address these challenges, various backup power solutions have been explored to enhance system reliability and maintain continuous energy availability.
[003] Existing power backup solutions primarily rely on uninterruptible power supplies (UPS) and hybrid energy storage systems that integrate lithium-ion batteries with supercapacitors or alternative energy sources. These systems, offered by companies such as Tesla, LG Chem, and Eaton, provide temporary energy support during power failures. However, many of these solutions are limited by their reliance on a single or predefined energy source, leading to inefficiencies in dynamic energy management. Additionally, conventional battery management systems (BMS) focus on monitoring charge and discharge cycles but lack adaptive intelligence to optimize power distribution across multiple sources.
[004] Recent advancements in artificial intelligence (AI) and energy harvesting technologies have introduced new possibilities for intelligent power backup solutions. AI-driven energy management systems enable real-time power source selection, ensuring optimal utilization of available energy. Furthermore, alternative energy sources, such as moisture-driven energy harvesting, have gained interest due to their potential for sustainable and continuous power generation. Despite these innovations, there remains a need for a comprehensive backup solution that seamlessly integrates multiple power sources while dynamically adjusting to varying energy demands and environmental conditions.
[005] There is thus a need for an improved and advanced multi-source adaptive power backup system for batteries that can administer the aforementioned limitations in a more efficient manner.
SUMMARY
[006] Embodiments in accordance with the present invention provide a multi-source adaptive power backup system for batteries. The system comprising a battery management unit adapted to monitor a charge level of a battery, and configured to detect the battery approaching a specified low threshold of charge level. The system further comprising an Artificial Intelligence-based energy management unit connected to the battery management unit. The Artificial Intelligence-based energy management unit is configured to dynamically select an optimal backup energy source, wherein one of the backup energy source is selected from a solar energy harvesting system, a supercapacitor, a moisture-based energy harvester, or a combination thereof; supply immediate power stabilization using the selected backup energy source; regulate voltage and current corresponding to the supplied immediate power using a power converter; and continuously adjust the selection of the optimal backup energy source based on real-time power demands and external environmental factors of the battery.
[007] Embodiments in accordance with the present invention further provide a method for managing backup power using a multi-source adaptive power backup system for batteries. The method comprising steps of monitoring a charge level of a battery using a battery management unit; detecting the battery approaching a specified low threshold of charge; dynamically selecting an optimal backup energy source, wherein one of the backup energy source is selected from a solar energy harvesting system, a supercapacitor, a moisture-based energy harvester, or a combination thereof; supplying immediate power stabilization using the selected backup energy source; regulating voltage and current corresponding to the supplied immediate power using a power converter; and continuously adjusting the selection of the optimal backup energy source based on real-time power demands and external environmental factors of the battery.
[008] Embodiments of the present invention may provide a number of advantages depending on their particular configuration. First, embodiments of the present application may provide a multi-source adaptive power backup system for batteries.
[009] Next, embodiments of the present application may provide a multi-source adaptive power backup system for batteries that uses an ai-powered energy management system (EMS) to dynamically select the most efficient energy source, ensuring continuous power supply while minimizing energy wastage.
[0010] Next, embodiments of the present application may provide a multi-source adaptive power backup system for batteries that rely on a single power source, this system combines solar energy, supercapacitors, and moisture-driven energy harvesting, enhancing reliability and sustainability.
[0011] Next, embodiments of the present application may provide a multi-source adaptive power backup system for batteries that efficiently manages power distribution and reducing deep discharge cycles, the system prolongs the operational life of lithium-ion batteries, decreasing maintenance costs and replacement frequency.
[0012] Next, embodiments of the present application may provide a multi-source adaptive power backup system for batteries that ensures a smooth transition between power sources, preventing sudden shutdowns and improving system stability in electric vehicles, iot devices, and other applications.
[0013] Next, embodiments of the present application may provide a multi-source adaptive power backup system for batteries that allows the system to function in environments with limited sunlight or grid power, making it ideal for remote or energy-scarce locations
[0014] These and other advantages will be apparent from the present application of the embodiments described herein.
[0015] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
BRIEF DESCRIPTION OF THE DRAWINGS
[0016] The above and still further features and advantages of embodiments of the present invention will become apparent upon consideration of the following detailed description of embodiments thereof, especially when taken in conjunction with the accompanying drawings, and wherein:
[0017] FIG. 1A illustrates a block diagram of a multi-source adaptive power backup system for batteries, according to an embodiment of the present invention;
[0018] FIG. 1B illustrates an exemplary implementation of the system 100, according to an embodiment of the present invention; and
[0019] FIG. 2 depicts a flowchart of a method for managing backup power using a multi-source adaptive power backup system for batteries, according to an embodiment of the present invention.
[0020] The headings used herein are for organizational purposes only and are not meant to be used to limit the scope of the description or the claims. As used throughout this application, the word "may" is used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Similarly, the words “include”, “including”, and “includes” mean including but not limited to. To facilitate understanding, like reference numerals have been used, where possible, to designate like elements common to the figures. Optional portions of the figures may be illustrated using dashed or dotted lines, unless the context of usage indicates otherwise.
DETAILED DESCRIPTION
[0021] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the scope of the invention as defined in the claims.
[0022] In any embodiment described herein, the open-ended terms "comprising", "comprises”, and the like (which are synonymous with "including", "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of", “consists essentially of", and the like or the respective closed phrases "consisting of", "consists of”, the like.
[0023] As used herein, the singular forms “a”, “an”, and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.
[0024] FIG. 1A illustrates a block diagram of a multi-source adaptive power backup system 100 for lithium-ion batteries (hereinafter referred to as the system 100), according to an embodiment of the present invention. The system 100 may be adapted to supply backup power to a premise. The system 100 may be adapted to collaborate multiple energy sources for supplying the backup power. Further, the system 100 may switch from the collaborated multiple energy sources for ensuring an uninterrupted backup power. The system 100 may operate independently of a power grid. Hence, the system 100 may be suitable for off-grid applications and remote locations.
[0025] According to the embodiments of the present invention, the system 100 may incorporate non-limiting hardware components to enhance the processing speed and efficiency such as the system 100 may comprise a battery 102, a battery management unit 104, an Artificial Intelligence-based energy management unit 106, a solar energy harvesting system 108, a supercapacitor 110, a moisture-based energy harvester 112, and power converter 114. In an embodiment of the present invention, the hardware components of the system 100 may be integrated with computer-executable instructions for overcoming the challenges and the limitations of the existing systems.
[0026] In an embodiment of the present invention, the battery 102 may be adapted to store electrical energy. The electrical energy stored in the battery 102 may be transmitted to the premise as the backup power. In a preferred embodiment of the present invention, the battery 102 may be a Lithium-Ion Battery (LIB).
[0027] In an embodiment of the present invention, the battery management unit 104 may be adapted to monitor a charge level of the battery 102 the battery management unit 104 may be configured to detect the battery 102 approaching a specified low threshold of charge level.
[0028] In an embodiment of the present invention, the Artificial Intelligence-based energy management unit 106 may be connected to the battery management unit 104. The Artificial Intelligence-based energy management unit 106 may be configured to dynamically select an optimal backup energy source. The dynamic selection may be made on a basis of a most efficient backup energy source based on real-time environmental conditions and battery charge levels. The backup energy source may be, but not limited to, the solar energy harvesting system 108, the supercapacitor 110, the moisture-based energy harvester 112, and so forth.
[0029] The Artificial Intelligence-based energy management unit 106 may be configured to supply immediate power stabilization using the selected backup energy source. The Artificial Intelligence-based energy management unit 106 may be configured to regulate voltage and current corresponding to the supplied immediate power using a power converter 114. The Artificial Intelligence-based energy management unit 106 may be configured to continuously adjust the selection of the optimal backup energy source based on real-time power demands and external environmental factors of the battery 102. The Artificial Intelligence-based energy management unit 106 may be configured to extend the battery 102 lifespan by optimizing charge-discharge cycles and reducing dependency on lithium-ion concentrate of the battery 102 for charge-discharge cycles.
[0030] In an embodiment of the present invention, the solar energy harvesting system 108 may include photovoltaic cells optimized for low-light energy generation. In an embodiment of the present invention, the supercapacitor 110 may be adapted to bridge short-term power gaps, ensuring uninterrupted power supply during transitions between the energy sources. In an embodiment of the present invention, the moisture-based energy harvester 112 may comprise a hygroscopic material and an energy conversion mechanism to generate electrical power from absorbed moisture.
[0031] In an embodiment of the present invention, the power converter 114 may comprise a bidirectional DC-DC converter circuit, including buck and boost converter stages to efficiently step down or step up voltage as required. The circuit may include MOSFETs or IGBTs as switching elements, controlled by pulse-width modulation (PWM) techniques to regulate energy transfer with minimal losses. Additionally, inductors and capacitors may be integrated to filter voltage fluctuations and ensure stable power delivery to the battery 102 and other vehicle components.
[0032] The power converter 114 may also incorporate an intelligent feedback control system, including microcontrollers or digital signal processors (DSPs), to monitor voltage, current, and temperature in real time. This control system may dynamically adjust switching frequencies and duty cycles based on battery charge levels, environmental conditions, and vehicle power demands. Furthermore, protection circuits, such as overvoltage, overcurrent, and thermal shutdown mechanisms, may be included to safeguard the battery 102 and prevent damage to an electrical system of the electrical vehicles.
[0033] FIG. 1B illustrates an exemplary implementation of the system 100, according to an embodiment of the present invention. [0030] In an exemplary embodiment of the present invention, the battery 102 may be implemented as a backup power source for an electric vehicle (EV). The battery 102 may be configured to store electrical energy and supply backup power to critical vehicle components when the primary energy source is depleted or unavailable. The battery 102 may be a Lithium-Ion Battery (LIB), which can efficiently store and discharge power as needed.
[0034] The battery management unit 104 may be adapted to monitor the charge level of the battery 102 in real time. The battery management unit 104 may be configured to detect when the battery 102 charge level drops below 20% (e.g., 12V for a 60V system or 14.4V for a 72V system) and communicate this information to the Artificial Intelligence-based energy management unit 106. Upon reaching this threshold, the system may initiate a backup charging process to prevent excessive discharge and ensure continuous vehicle operation. The Artificial Intelligence-based energy management unit 106 may be connected to the battery management unit 104 and configured to dynamically select an optimal backup energy source for charging the battery 102. The dynamic selection may be based on real-time environmental conditions, vehicle power demands, and battery charge levels.
[0035] The backup energy sources may include, but are not limited to, the vehicle’s regenerative braking system, the solar energy harvesting system 108 (as shown in the FIG. 1A), the supercapacitor 110 (as shown in the FIG. 1A), or the moisture-based energy harvester 112 (as shown in the FIG. 1A). The solar energy harvesting system 108 may include photovoltaic cells optimized for low-light energy generation, ensuring efficient charging even in shaded or cloudy environments. The supercapacitor 110 may be adapted to bridge short-term power gaps, ensuring uninterrupted power supply during transitions between energy sources. Additionally, the moisture-based energy harvester 112 may comprise a hygroscopic material and an energy conversion mechanism, enabling it to generate electrical power from absorbed moisture, particularly useful in humid conditions. For example, if an EV is traveling on a highway and the battery charge level drops below 20%, the Artificial Intelligence-based energy management unit 106 may prioritize regenerative braking during stop-and-go traffic to recover energy and charge the battery. In another scenario, if the vehicle is parked under direct sunlight, the system may utilize the solar energy harvesting system 108 to gradually charge the battery, leveraging its optimized low-light photovoltaic cells for efficient energy conversion. Alternatively, during humid weather conditions, the system may activate the moisture-based energy harvester 112 to extract ambient energy from absorbed moisture and supplement battery charging.
[0036] The Artificial Intelligence-based energy management unit 106 may also be configured to extend the lifespan of the battery 102 by optimizing charge-discharge cycles. This may involve balancing energy consumption between the primary battery and backup sources, thereby reducing strain on the lithium-ion cells. For instance, during high-power demand situations such as rapid acceleration, the system may divert energy from the supercapacitor 110, which can quickly discharge power to bridge short-term power gaps, preventing excessive battery drain. By continuously adjusting the selection of the optimal backup energy source, the system ensures efficient energy utilization, prolonged battery lifespan, and enhanced vehicle performance.
[0037] The exemplary embodiment described herein is provided solely for illustrative purposes and should not be construed as limiting the scope of the present invention. Various modifications, adaptations, and alternative implementations may be made without departing from the spirit and scope of the invention as defined in the accompanying claims.
[0038] FIG. 2 depicts a flowchart of a method 200 for managing backup power using the system 100, according to an embodiment of the present invention.
[0039] At step 202, the system 100 may monitor the charge level of the battery 102 using the battery management unit 104.
[0040] At step 204, the system 100 may detect the battery 102 approaching a specified low threshold of charge
[0041] At step 206, the system 100 may dynamically select the optimal backup energy source.
[0042] At step 208, the system 100 may supply immediate power stabilization using the selected backup energy source.
[0043] At step 210, the system 100 may regulate voltage and current corresponding to the supplied immediate power using the power converter 114.
[0044] At step 212, the system 100 may continuously adjust the selection of the optimal backup energy source based on the real-time power demands and the external environmental factors of the battery 102.
[0045] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it is to be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
[0046] This written description uses examples to disclose the invention, including the best mode, and also to enable any person skilled in the art to practice the invention, including making and using any devices or systems and performing any incorporated methods. The patentable scope of the invention is defined in the claims, and may include other examples that occur to those skilled in the art. Such other examples are intended to be within the scope of the claims if they have structural elements that do not differ from the literal language of the claims, or if they include equivalent structural elements within substantial differences from the literal languages of the claims. , Claims:CLAIMS
I/We Claim:
1. A multi-source adaptive power backup system (100), the system (100) comprising:
a battery management unit (104) adapted to monitor a charge level of a battery (102), and configured to detect the battery (102) approaching a specified low threshold of charge level; and
an Artificial Intelligence-based energy management unit (106) connected to the battery management unit (104), characterized in that the Artificial Intelligence-based energy management unit (106) is configured to:
dynamically select an optimal backup energy source, wherein one of the backup energy source is selected from a solar energy harvesting system (108), a supercapacitor (110), a moisture-based energy harvester (112), or a combination thereof;
supply immediate power stabilization using the selected backup energy source;
regulate voltage and current corresponding to the supplied immediate power using a power converter (114); and
continuously adjusting the selection of the optimal backup energy source based on real-time power demands and external environmental factors of the battery (102).
2. The system (100) as claimed in claim 1, wherein the battery (102) is a Lithium-Ion Battery (LIB).
3. The system (100) as claimed in claim 1, wherein the Artificial Intelligence-based energy management unit (106) dynamically selects a most efficient backup energy source based on real-time environmental conditions and battery charge levels.
4. The system (100) as claimed in claim 1, wherein the supercapacitor (110) bridges short-term power gaps, ensuring uninterrupted power supply during transitions between the energy sources.
5. The system (100) as claimed in claim 1, wherein the moisture-based energy harvester (112) comprises a hygroscopic material and an energy conversion mechanism to generate electrical power from absorbed moisture.
6. The system (100) as claimed in claim 1, wherein the solar energy harvesting system (108) includes photovoltaic cells optimized for low-light energy generation.
7. The system (100) as claimed in claim 1, wherein the Artificial Intelligence-based energy management unit (106) extends the battery lifespan by optimizing charge-discharge cycles and reducing dependency on lithium-ion concentrate of the battery (102) for charge-discharge cycles.
8. The system (100) as claimed in claim 1, wherein the system (100) operates independently of a power grid, making the system (100) suitable for off-grid applications and remote locations.
9. A method for managing backup power using a multi-source adaptive power backup system (100), the method is characterized by steps of:
monitoring a charge level of a battery (102) using a battery management unit (104);
detecting the battery (102) approaching a specified low threshold of charge;
dynamically selecting an optimal backup energy source, wherein one of the backup energy source is selected from a solar energy harvesting system (108), a supercapacitor (110), a moisture-based energy harvester (112), or a combination thereof;
supplying immediate power stabilization using the selected backup energy source;
regulating voltage and current corresponding to the supplied immediate power using a power converter (114); and
continuously adjust the selection of the optimal backup energy source based on real-time power demands and external environmental factors of the battery (102).
10. The method (200) as claimed in claim 9, wherein the battery (102) is a Lithium-Ion Battery (LIB).
Date: March 10, 2025
Place: Noida

Nainsi Rastogi
Patent Agent (IN/PA-2372)
Agent for the Applicant