Description:
BACKGROUND
Field of Invention
[001] Embodiments of the present invention generally relate to cells and batteries and particularly to a smart battery management system with Artificial Intelligence (AI) based performance monitoring.
Description of Related Art
[002] Rechargeable battery systems play a critical role in a wide range of modern applications, including but not limited to consumer electronics, industrial machinery, medical devices, aerospace systems, and renewable energy storage. These systems typically rely on large assemblies of individual electrochemical cells connected to form a single battery pack. When even one of these cells fails or underperforms, the overall efficiency and reliability of the entire pack diminishes. In most cases, users must replace the entire pack, which results in unnecessary cost and material waste.
[003] Conventional battery management architectures often center around monitoring general parameters of the pack rather than providing insight into the condition of individual cells. This approach hinders fault isolation and targeted maintenance. Without precise cell-level diagnostics, systems cannot address localized failures efficiently. This limitation imposes high maintenance costs and leads to premature disposal of otherwise usable battery components, thereby increasing environmental burden and reducing system sustainability.
[004] While some modular battery designs have emerged in the market, they usually lack integration with intelligent data analysis or real-time operational insights. These designs tend to involve complex replacement procedures and provide limited user interaction. Furthermore, predictive diagnostics remain largely absent, restricting proactive maintenance and lifecycle optimization.
[005] There is thus a need for an improved and advanced smart battery management system with Artificial Intelligence (AI) performance monitoring that can administer the aforementioned limitations in a more efficient manner.
SUMMARY
[006] Embodiments in accordance with the present invention provide a smart battery management system with Artificial Intelligence (AI) performance monitoring. The system comprising a plurality of cells arranged in a preset array to form a battery. At least one of the cells are user replaceable from the preset array of the battery, such that the cells are adapted to supply electrical energy to a load connected to the battery. The system further comprising an inspection unit connected to the cells. The inspection unit is adapted to monitor parameters of the cells in the battery. The system further comprising a processing unit, established on a cloud server, is communicatively connected to the inspection unit. The processing unit is configured to receive the monitored parameters of the cells in the battery using a Message Queuing Telemetry Transport (MQTT) protocol; evaluate a health score of the cells in the battery by analyzing the received parameters using an Artificial Intelligence (AI) computation technique; compare the health score of each of the cells with a threshold score; flag the cells upon detecting the health score below the threshold score; and transmit data of the flagged cells to a dashboard of a computing device.
[007] Embodiments in accordance with the present invention further provide a method for performance monitoring of a battery. The method comprising steps of receiving monitored parameters of cells in a battery using a Message Queuing Telemetry Transport (MQTT) protocol; evaluating a health score of the cells in the battery by analyzing the received parameters using an Artificial Intelligence (AI) computation technique; comparing the health score of each of the cells with a threshold score; flagging the cells upon detecting the health score below the threshold score; and transmitting data of the flagged cells to a dashboard of a computing device.
[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 smart battery management system with Artificial Intelligence (AI) performance monitoring.
[009] Next, embodiments of the present application may provide a smart battery management system that allows replacement of only the degraded or faulty battery cells, avoiding the need to discard the entire battery pack. This reduces maintenance costs and increases the overall lifecycle of the battery system.
[0010] Next, embodiments of the present application may provide a smart battery management system that captures real-time data (voltage, current, temperature, and gas emissions) from individual cells. This enables immediate identification of performance anomalies and enhances system reliability.
[0011] Next, embodiments of the present application may provide a smart battery management system that allows the system to predict cell failures in advance. This proactive approach helps prevent unexpected downtimes and optimizes usage patterns for extended battery health.
[0012] Next, embodiments of the present application may provide a smart battery management system that provides intuitive alerts, status updates, and guidance for cell replacement. Users can perform maintenance without specialized tools or expertise.
[0013] Next, embodiments of the present application may provide a smart battery management system that significantly reduces electronic waste. This contributes to environmentally responsible energy storage practices across industries.
[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. 1 illustrates a schematic diagram of a smart battery management system with Artificial Intelligence (AI) performance monitoring, according to an embodiment of the present invention;
[0018] FIG. 2 illustrates a block diagram of a processing unit, according to an embodiment of the present invention; and
[0019] FIG. 3 depicts a flowchart of a method for performance monitoring of a battery, 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. 1 illustrates a schematic diagram of a smart battery management system 100 (hereinafter referred to as the system 100) with Artificial Intelligence (AI) performance monitoring, according to an embodiment of the present invention. The system 100 may be adapted to measure and evaluate individual cells 104a-104n in a battery pack (hereinafter interchangeably used as the battery 102). Further, upon detection of degraded and faulty cells in the battery pack 102, the system 100 may notify a user, with a nomenclature of the degraded or faulty cells 104a-104n in the battery 102, for replacement of said cells 104a-104n. The replacement processes enabled by the system 100 may be tool-free and hazard-free. The user may be required to manually pick and remove the noted cells, and replace the same with new cells.
[0025] The system 100 may be implemented in battery operated means such as, but not limited to, laptop computers, smartphones, portable speakers, watches, clocks, lights, doorbells, surveillance cameras, and so forth. In a preferred embodiment of the present invention, the system 100 may be implemented in electric vehicles. Embodiments of the present invention are intended to include or otherwise cover any domain for implementation of the system 100, including known, related art, and/or later developed technologies. Further, the battery 102 may be installed at a safe location on a chassis of the electric vehicles. Yet, the safe location may be approachable by the user for reviewing the battery 102 and replacement of the cells 104a-104n.
[0026] 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 the battery 102, a plurality of cells 104a-104n (hereinafter referred individually to as the cell 104, and plurally to as the cells 104), an inspection unit 106, a processing unit 108, a cloud server 110, a computing device 112, a dashboard 114, and a communication unit 116. 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.
[0027] In an embodiment of the present invention, the battery 102 may be connected to a load. The load connected by the battery 102 may be driven and/or operated by electrical charges dispersed by the battery 102. The battery 102 may comprise cells 104. The cells 104 may be arranged in a preset array. The arrangement of the cells 104 in the preset array may ensure a connectivity of an opposite polarity of the cell 104. Thus, preventing short-circuiting. In an embodiment of the present invention, the battery 102 may comprise ‘n’ cells 104, where ‘n’ may be any natural number.
[0028] Further, the cells 104 arranged in the battery 102 may be modular in design. The modulatory may allow a replacement of the cells 104 from the battery 102 without utilization of dedicated tools and/or specialized hardware. The cells 104 may be fixed in a frame (not shown). The frame may comprise indentations and grooves for retaining the cells 104. The cells 104 may comprise snap-fit connections, that may adapted to interfere with the frame leading to a secure and unmovable arrangement. Further, the cells 104 may be shrink-wrapped with a polyvinyl chloride layer for prevention of internal friction and short-circuiting of the cells 104. The cells 104 in the battery 102 may be any composition such as, but not limited to, a Nickel-Cadmium cell, a Nickel-Metal Hydride cell, a Zinc-Carbon cell, a Lithium-Ion cell, and so forth. Embodiments of the present invention are intended to include or otherwise cover any composition of the cells 104 in the battery 102, including known, related art, and/or later developed technologies.
[0029] In an embodiment of the present invention, the inspection unit 106 may be connected to the cells 104. The inspection unit 106 may be adapted to monitor parameters of the cells 104 in the battery 102. The inspection unit 106 may encapsulate sensors such as, but not limited to, a voltage sensor, a current sensor, a gas sensor, a temperature sensor, and so forth. Embodiments of the present invention are intended to include or otherwise cover any sensors that may be encapsulated in the inspection unit 106, including known, related art, and/or later developed technologies. The inspection unit 106 may be adapted to prioritize the cells 104 in the battery 102 for a charging and/or a discharging. The controlled charging and/or the discharging may improve a health score of the cells 104, and an overall longevity of the battery 102.
[0030] In an embodiment of the present invention, the health score may be a percentage magnitude that may describe an overall health of the cell 104. An exemplary cell with a 100% health score may have an excellent health. Another exemplary cell with a 90% health score may have a good health. Similarly, another exemplary cell with an 85% health score may have a usable health. Moreover, another exemplary cell with an 80% health score may have deteriorated health.
[0031] In an embodiment of the present invention, the current sensor may be adapted to monitor the charge and discharge rates of the cells 104. In an embodiment of the present invention, the voltage sensor may be adapted to measure a potential difference between the cell 104 and/or a predefined group of cells 104. In an embodiment of the present invention, the temperature sensor may be adapted to monitor a temperature level of the cells 104. In an embodiment of the present invention, the gas sensor may be adapted to detect hazardous emissions in the cells 104 due to a rise in the temperature level, or due to a physical damage in the cells 104.
[0032] In an embodiment of the present invention, the processing unit 108 may be connected to the inspection unit 106. The processing unit 108 may be established and installed on the cloud server 110. The processing unit 108 may further be configured to execute computer-executable instructions to generate an output relating to the system 100. According to embodiments of the present invention, the processing unit 108 may be, but not limited to, a Programmable Logic Control (PLC) unit, a microprocessor, a development board, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the processing unit 108 including known, related art, and/or later developed technologies. In an embodiment of the present invention, the processing unit 108 may further be explained in conjunction with FIG. 2.
[0033] In an embodiment of the present invention, the cloud server 110 may be remotely located. In an exemplary embodiment of the present invention, the cloud server 110 may be a public cloud server. In another exemplary embodiment of the present invention, the cloud server 110 may be a private cloud server. In yet another embodiment of the present invention, the cloud server 110 may be a dedicated cloud server. According to embodiments of the present invention, the cloud server 110 may be, but not limited to, a Microsoft Azure cloud server, an Amazon AWS cloud server, a Google Compute Engine (GCE) cloud server, an Amazon Elastic Compute Cloud (EC2) cloud server, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the cloud server 110 including known, related art, and/or later developed technologies.
[0034] In an embodiment of the present invention, the computing device 112 may be an electronic device used by the user. The computing device 112 may comprise the dashboard 114. The dashboard 114 may be a computer executable program that may be installed in the computing device 112.
[0035] The dashboard 114 may be adapted to receive data of the cells 104 flagged by the processing unit 108. The dashboard 114 may further be adapted to receive an alert indicating a maintenance of the battery 102 by replacement of the flagged cell 104. Further, the dashboard 114 may guide the user in a step-by-step format for replacement of the flagged cell(s) 104.
[0036] Moreover, the dashboard 114 may provide a set of information and insights relating to the cells 104 and or the battery 102. The set of information and insights may be, but not limited to, an address of the flagged cells 104, a model and a make of the flagged cells 104, a power withdrawn before replacement of the flagged cells 104, a power withdrawn after replacement of the flagged cells 104, usage statistics, health score updates, and so forth. Embodiments of the present invention are intended to include or otherwise cover any information and insights, including known, related art, and/or later developed technologies.
[0037] Furthermore, the dashboard 114 may be adapted to display a real-time cell metrics and battery infographics to the user. The dashboard 114 may enable the user to monitor real-time performance of the cells 104, optimal charging times, cells 104 that may need replacement in future, time left before replacement, and so forth.
[0038] The computing device 112 may be, but not limited to, a smart phone, an instrument cluster, a laptop, a web-enabled interactive device, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the computing device 112, including known, related art, and/or later developed technologies.
[0039] In an embodiment of the present invention, the communication unit 116 may be adapted to establish a communicative link between the processing unit 108 and the cloud server 110. The communicative link between the processing unit 108 and the cloud server 110 may enable a flow of monitored parameters of the cells 104 between the processing unit 108 and the cloud server 110. Further, the communication unit 116 may be adapted to establish a communicative link between the cloud server 110 and the computing device 112. The communicative link between the cloud server 110 and the computing device 112 may enable a flow of the alert and the set of information. The communication unit 116 may be adapted to operate on Internet of Things (IoT) protocol. The communication unit 116 may be, but not limited to, a Bluetooth network, a Long Range (LoRa) network, a Virtual Private Network (VPN), and so forth. In a preferred embodiment of the present invention, the communication unit 116 may be a Wireless Fidelity (Wi-Fi) network. Embodiments of the present invention are intended to include or otherwise cover any type of the communication unit 116, including known, related art, and/or later developed technologies.
[0040] FIG. 2 illustrates a block diagram of the processing unit 108, according to an embodiment of the present invention. The processing unit 108 may comprise the computer-executable instructions in form of programming modules such as a data receiving module 200, a data analysis module 202, a data comparison module 204, a data flagging module 206, and a data transmission module 208.
[0041] In an embodiment of the present invention, the data receiving module 200 may be configured to receive the monitored parameters of the cells 104 in the battery 102 using a Message Queuing Telemetry Transport (MQTT) protocol. The Message Queuing Telemetry Transport (MQTT) may be a lightweight, publish-subscribe-based messaging protocol. The Message Queuing Telemetry Transport (MQTT) may be designed for resource-constrained devices, low-bandwidth throughput, high-latency connections, unreliable networks, and so forth. The Message Queuing Telemetry Transport (MQTT) may further be configured to ensure defragmenting of the received parameters. The data receiving module 200 may be configured to transmit the received parameters to the data analysis module 202.
[0042] The data analysis module 202 may be activated upon receipt of the parameters from the data receiving module 200. In an embodiment of the present invention, the data analysis module 202 may be configured to deploy an Artificial Intelligence (AI) computation technique to analyze the received parameters. The analysis of the received parameters may evaluate the health score of the cells 104 in the battery 102. The Artificial Intelligence (AI) computation technique may further be configured to predict the health score of the cells 104 in the battery 102 tending to exhibit the deteriorated state in the future for preventive measure.
[0043] Upon analysis of the received parameters and evaluation of the health score, the data analysis module 202 may be configured to transmit the evaluated health score to the data comparison module 204.
[0044] The data comparison module 204 may be activated upon receipt of the health score from the data analysis module 202. In an embodiment of the present invention, the data comparison module 204 may be configured to compare the health score of each of the cells 104 in the battery 102 with a threshold score. Upon comparison, if the health score of the one or more cells 104 may be less than the threshold score, then the corresponding one or more cells 104 may be in a deteriorating and/or deteriorated condition. Such cells 104 with the health score below the threshold score may be shortlisted.
[0045] In an embodiment of the present invention, the data comparison module 204 may be configured to detect accidental scenario based on the comparison of the health score of each of the cells 104 with the threshold score. Upon detection of the accidental scenario, the data comparison module 204 may be configured to transmit a hazard signal to the data transmission module 208.
[0046] Further, a data of the shortlisted cells 104 may be transmitted to the data flagging module 206.
[0047] The data flagging module 206 may be activated upon receipt of the data from the data comparison module 204. In an embodiment of the present invention, the data flagging module 206 may be configured to interpolate the data and flag the cells 104 corresponding in the received data. The data flagging module 206 may be configured to detect a replacement of the flagged cells 104, and store replacement data in a memory (not shown).
[0048] Further, the interpolation of the data may prevent flagging of the healthy cells 104, and only the cells 104 in the battery 102 exhibiting deteriorating and/or deteriorated condition may be flagged. Upon flagging of the cells 104, the data flagging module 206 may transmit an activation signal to the data transmission module 208.
[0049] The data transmission module 208 may be activated upon receipt of the activation signal from the data flagging module 206. In an embodiment of the present invention, the data transmission module 208 may be configured to transmit data of the flagged cells 104 to the computing device 112. The data transmission module 208 may be configured to enable the computing device 112 to display the transmitted data of the flagged cells 104 on a dashboard 114.
[0050] The data of the flagged cells 104 may comprise an address of the flagged cells 104, a model and a make of the cells 104 substituting the flagged cells 104, a power withdrawn before replacement of the flagged cells 104, a power withdrawn after replacement of the flagged cells 104, usage statistics, health score updates, and so forth. Embodiments of the present invention are intended to include or otherwise cover any set of information, including known, related art, and/or later developed technologies.
[0051] The data transmission module 208, when activated upon receipt of the hazard signal, may be configured to generate and transmit visual alerts, onto the dashboard 114 of the computing device 112, upon detecting the accidental scenario based on the health score of each of the cells 114.
[0052] The data transmission module 208 may be configured to transmit the alert the dashboard 114 of the computing device 112. The alert may indicate the maintenance of the battery 102 by replacement of the flagged cells 104. The alert and/or visual alerts received on the computing device 112 may be in a pre-defined form, in an embodiment of the present invention. The pre-defined form of the alert and/or visual alerts received on the computing device 112 may be, but not limited to a pop-up notification, a flash notification, a ringer notification, a silent notification, a push notification, a hidden notification, an electronic mail notification, a Short Message Service (SMS) notification, an always on-screen notification, and so forth. Embodiments of the present invention are intended to include or otherwise cover any pre-defined form of the alert and/or visual alerts that may be received on the computing device 112, including known, related art, and/or later developed technologies.
[0053] FIG. 3 depicts a flowchart of a method 300 for performance monitoring of the battery 102, according to an embodiment of the present invention.
[0054] At step 302, the system 100 may receive the monitored parameters of the cells 104 in the battery 102 using the Message Queuing Telemetry Transport (MQTT) protocol.
[0055] At step 304, the system 100 may evaluate the health score of the cells 104 in the battery 102 by analyzing the received parameters using the Artificial Intelligence (AI) computation technique.
[0056] At step 306, the system 100 may compare the health score of each of the cells 104 with the threshold score.
[0057] At step 308, the system 100 may flag the cells 104 upon detecting the health score below the threshold score.
[0058] At step 310, the system 100 may transmit the data of the flagged cells 104 to the dashboard 114 of the computing device 112.
[0059] 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.
[0060] 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 smart battery management system (100) with Artificial Intelligence (AI) performance monitoring, the system (100) comprising:
a plurality of cells (104a-104n) arranged in a preset array to form a battery (102), wherein at least one of the cells (104a-104n) are user replaceable from the preset array of the battery (102), such that the cells (104a-104n) are adapted to supply electrical energy to a load connected to the battery (102);
an inspection unit (106) connected to the cells (104a-104n), wherein the inspection unit (106) is adapted to monitor parameters of the cells (104a-104n) in the battery (102); and
a processing unit (108), established on a cloud server (110), is communicatively connected to the inspection unit (106), characterized in that the processing unit (108) is configured to:
receive the monitored parameters of the cells (104a-104n) in the battery (102) using a Message Queuing Telemetry Transport (MQTT) protocol;
evaluate a health score of the cells (104a-104n) in the battery (102) by analyzing the received parameters using an Artificial Intelligence (AI) computation technique;
compare the health score of each of the cells (104a-104n) with a threshold score;
flag the cells (104a-104n) upon detecting the health score below the threshold score; and
transmit data of the flagged cells (104a-104n) to a dashboard (114) of a computing device (112).
2. The system (100) as claimed in claim 1, wherein the data of the flagged cells (104a-104n) is selected from an address of the flagged cells (104a-104n), a model and a make of the cells (104a-104n) substituting the flagged cells (104a-104n), a power withdrawn before replacement of the flagged cells (104a-104n), a power withdrawn after replacement of the flagged cells (104a-104n), usage statistics, health score updates, or a combination thereof.
3. The system (100) as claimed in claim 1, comprising a communication unit (116) adapted to transmit the data of the flagged cells (104a-104n) to the dashboard (114) of the computing device (112).
4. The system (100) as claimed in claim 1, wherein the inspection unit (106) comprises a voltage sensor, a current sensor, a gas sensor, a temperature sensor, or a combination thereof.
5. The system (100) as claimed in claim 1, wherein the processing unit (108) is configured to enable the computing device (112) to display the transmitted data of the flagged cells (104a-104n) on a dashboard (114).
6. The system (100) as claimed in claim 1, wherein the processing unit (108) is configured to detect a replacement of the flagged cells (104a-104n).
7. The system (100) as claimed in claim 1, wherein the processing unit (108) is configured to detect accidental scenario based on the health score of each of the cells (104a-104n).
8. The system (100) as claimed in claim 1, wherein the processing unit (108) is configured to generate visual alerts upon detecting the accidental scenario based on the health score of each of the cells (104a-104n).
9. A method (300) for performance monitoring of a battery (102), the method (300) is characterized by steps of:
receiving monitored parameters of cells (104a-104n) in a battery (102) using a Message Queuing Telemetry Transport (MQTT) protocol;
evaluating a health score of the cells (104a-104n) in the battery (102) by analyzing the received parameters using an Artificial Intelligence (AI) computation technique;
comparing the health score of each of the cells (104a-104n) with a threshold score;
flagging the cells (104a-104n) upon detecting the health score below the threshold score; and
transmitting data of the flagged cells (104a-104n) to a dashboard (114) of a computing device (112).
10. The method (300) as claimed in claim 9, wherein the inspection unit (106) comprise a voltage sensor, a current sensor, a gas sensor, a temperature sensor, or a combination thereof.
Date: May 26, 2025
Place: Noida

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