DESC:ADAPTIVE BATTERY PACK WITH DYNAMIC OPERATIONAL PARAMETER ADJUSTMENT
CROSS REFERENCE TO RELATED APPLICTIONS
The present application claims priority from Indian Provisional Patent Application No. 202421002223 filed on 11-01-2024, the entirety of which is incorporated herein by a reference.
TECHNICAL FIELD
The present disclosure generally relates to battery systems. Further, the present disclosure particularly relates to an adaptive battery pack with a modular battery management system to adjust operational parameters dynamically.
BACKGROUND
Battery technology has undergone rapid advancement in response to the increasing demand for reliable storage solutions for clean energy. Battery packs serve as energy storage units for electrical energy generated from renewable and non-polluting sources. These storage systems play an essential role in various domains, comprising mobility solutions, energy storage systems integrated with renewable energy generation, and domestic and commercial power backups. Each application imposes unique performance requirements on battery packs to achieve optimal operation in the intended context.
For mobility solutions, battery packs require characteristics such as high energy density to enable compact and lightweight designs, high discharge rates to meet instantaneous power demands, and minimal self-discharge rates to retain stored energy over extended periods. These battery packs must also exhibit low wear and tear to sustain prolonged and repetitive use cycles, which are typical in mobility applications. In contrast, battery packs used for commercial power backups generally experience slower degradation due to lower operational demands. These battery packs operate under stable conditions, without the need for frequent high discharge rates, thereby reducing the stress on the energy storage components.
Despite the significant progress in battery technology, existing solutions face several limitations. Battery packs, when continuously deployed in a single application, tend to degrade rapidly. Said degradation is particularly evident in mobility applications, where the frequent charge and discharge cycles, combined with high operational loads, accelerate the wear on the battery components. The degradation rate in such applications is significantly higher compared to battery packs used in less demanding applications, such as commercial power backups, where operational conditions are relatively static and less intensive.
An additional challenge lies in the lack of capability within existing battery packs to log and analyze application-specific usage patterns. The absence of such features prevents the optimization of battery utilization across different domains. Without insights into usage data, the same battery pack continues to operate in a specific application, leading to unoptimized resource allocation and premature degradation. Said inefficiency impacts the operational lifespan of the battery pack and limits the scope for repurposing and extending the utility of the storage system across multiple applications.
Moreover, the mismatch between application-specific requirements and the characteristics of existing battery packs highlights a broader challenge. Battery packs intended for intensive applications, such as mobility solutions, often face accelerated aging and reduced performance over time. On the other hand, battery packs in applications with lower operational demands remain underutilized, failing to utilize their full potential. Said imbalance underscores the need for solutions that enable dynamic adaptation of battery packs to varying application requirements, affirming better utilization of resources and prolonged operational lifespans.
In light of the above limitations, there is an urgent requirement for advancements in battery pack technology to address the challenges associated with application-specific performance optimization, degradation management, and efficient resource utilization. Solutions that incorporate mechanisms for usage pattern logging, adaptive deployment across multiple applications, and enhanced operational reliability are needed to overcome these challenges and improve the overall efficiency and sustainability of battery systems.
SUMMARY
The aim of the present disclosure is to provide an adaptive battery pack for usage pattern logging, adaptive deployment across multiple applications, and enhanced operational reliability
The present disclosure relates to an adaptive battery pack comprising an adaptive battery pack comprising plurality of battery cells and a battery management arrangement. The modular battery management system comprises a protection arrangement to safeguard the adaptive battery pack by dynamically adjusting an operating condition based on the requirements of a device into which the adaptive battery pack is installed. Furthermore, the modular battery management system comprises a communication arrangement to receive an operational parameter from the device and/or a remote server. The received operational parameter is used by the modular battery management system to reconfigure the operating condition of the adaptive battery pack upon connection to the device, thereby enabling adaptation to specific device requirements.
In another aspect, the adaptive battery pack comprises a communication arrangement that connects to a remote server to receive the operational parameter. The operational parameter corresponds to the device to which the adaptive battery pack is to be connected. The communication arrangement enables the system to customize the operational characteristics of the adaptive battery pack dynamically based on device-specific information received from the remote server.
In a further aspect, the adaptive battery pack comprises a data logging module to store profiles associated with multiple devices. Each stored profile corresponds to the operational parameter specific to a device. The modular battery management system identifies the device type upon connecting the adaptive battery pack to the device and selects an appropriate stored profile based on the identified device type. Such a system enables effective adaptation of the battery pack across various devices without manual intervention.
Moreover, the adaptive battery pack comprises a sensing arrangement to detect environmental parameters such as temperature and humidity. The protection arrangement within the modular battery management system dynamically adjusts the operational parameter of the adaptive battery pack based on the detected environmental parameters. Such dynamic adjustment assures efficient operation and safeguards the battery pack under varying environmental conditions.
The adaptive battery pack also incorporates a communication arrangement capable of verifying the identity of a device before reconfiguring the operational parameter of the adaptive battery pack. Such verification enables secure operation by preventing unauthorized devices from accessing the battery pack and making sure compatibility with the connected device prior to reconfiguration.
The operational parameter of the adaptive battery pack is selected from a range of parameters comprising voltage output, maximum current output, charging profile, discharge rate, discharge depth level, battery balancing parameter, safety threshold parameter, or combinations thereof. The ability to dynamically adjust one or more of these parameters enhances the adaptability and functionality of the battery pack across diverse operational contexts.
Additionally, the protection arrangement within the adaptive battery pack dynamically adjusts the operational parameter based on the requirements of the connected device. The operational parameter comprises voltage requirement, charge rate, discharge rate, current output profile, overvoltage level, undervoltage level, overcurrent threshold, or short-circuit protection parameter. Such dynamic adjustments enable the battery pack to operate safely and effectively in alignment with device-specific needs.
In another aspect, the adaptive battery pack comprises a data logging module to record data related to the charge-discharge cycle of the battery pack. The recorded data is used to estimate battery degradation over time and determine potential secondary use applications for the adaptive battery pack, enabling extended utility and lifecycle management for the battery pack.
Furthermore, the modular battery management system of the adaptive battery pack automatically switches between stored device profiles upon detecting a new device connection. The automatic profile switching enables adaptation to the operational requirements of different devices without requiring manual reconfiguration.
In another aspect, the adaptive battery pack is compatible with a variety of devices, comprising electric vehicles, home UPS systems, agricultural machinery, medical equipment, data center emergency power supplies, industrial robotic devices, power tools, renewable energy storage devices, consumer electronics, and energy storage devices of a power grid. Such versatility enables widespread application of the adaptive battery pack across diverse domains.
In an aspect, the present disclosure provides a modular battery management system comprising a protection module to safeguard an adaptive battery pack by dynamically adjusting an operating condition based on the requirements of a device into which the adaptive battery pack is installed. A communication module is provided to receive an operational parameter from the device and/or a remote server, wherein the received operational parameter is utilised by the modular battery management system to reconfigure the operating condition of the adaptive battery pack upon connection to the device. A data logging module is included to store profiles of multiple devices, wherein each profile is associated with the operational parameter of the device, and wherein the modular battery management system identifies a device type upon connection of the adaptive battery pack to the device and selects an appropriate profile based on the identified device type.
The system dynamically adjusts the operating conditions of the adaptive battery pack to prevent harmful conditions such as overcharging or overheating, thereby enhancing operational safety and extending battery life. The ability to store and retrieve device-specific profiles minimises response times and enhances compatibility across diverse devices. Additionally, real-time data processing and reconfiguration improve performance efficiency by aligning battery operation with specific device requirements.
In another aspect, the present disclosure provides a method for operating an adaptive battery pack, comprising receiving, via a communication module, an operational parameter from a device or a remote server, wherein the operational parameter specifies at least one requirement for operation of the device. The method further comprises processing the operational parameter within a modular battery management system to determine a reconfiguration strategy for the adaptive battery pack. At least one operating condition of the adaptive battery pack is dynamically adjusted, via a protection module, based on the determined reconfiguration strategy, wherein such adjustment safeguards the adaptive battery pack while meeting the operational requirements of the device.
BRIEF DESCRIPTION OF DRAWINGS
The summary above, as well as the following detailed description of illustrative embodiments, is better understood when read in conjunction with the appended drawings. For the purpose of illustrating the present disclosure, exemplary constructions of the disclosure are shown in the drawings. However, the present disclosure is not limited to specific methods and instrumentalities disclosed herein. Moreover, those in the art will understand that the drawings are not to scale. Wherever possible, like elements have been indicated by identical numbers.
Embodiments of the present disclosure will now be described, by way of example only, with reference to the following diagrams wherein:
FIG. 1 illustrates an adaptive battery pack, in accordance with the embodiments of the present disclosure.
FIG. 2 illustrates a block diagram of a modular battery management system, in accordance with the embodiments of the present disclosure.
FIG. 3 illustrates a method for operating an adaptive battery pack, in accordance with the embodiments of the present disclosure.
In the accompanying drawings, an underlined number is employed to represent an item over which the underlined number is positioned or an item to which the underlined number is adjacent. A non-underlined number relates to an item identified by a line linking the non-underlined number to the item. When a number is non-underlined and accompanied by an associated arrow, the non-underlined number is used to identify a general item at which the arrow is pointing.
DETAILED DESCRIPTION
The following detailed description illustrates embodiments of the present disclosure and ways in which they can be implemented. Although some modes of carrying out the present disclosure have been disclosed, those skilled in the art would recognise that other embodiments for carrying out or practising the present disclosure are also possible.
The description set forth below in connection with the appended drawings is intended as a description of certain embodiments of an adaptive battery pack of an electric vehicle and is not intended to represent the only forms that may be developed or utilised. The description sets forth the various structures and/or functions in connection with the illustrated embodiments; however, it is to be understood that the disclosed embodiments are merely exemplary of the disclosure that may be embodied in various and alternative forms. The figures are not necessarily to scale; some features may be exaggerated or minimised to show details of particular components. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a representative basis for teaching one skilled in the art to variously employ the present invention.
While the disclosure is susceptible to various modifications and alternative forms, specific embodiment thereof has been shown by way of example in the drawings and will be described in detail below. It should be understood, however, that it is not intended to limit the disclosure to the particular forms disclosed, but on the contrary, the disclosure is to cover all modifications, equivalents, and alternatives falling within the scope of the disclosure.
The terms “comprise”, “comprises”, “comprising”, “comprise(s)”, or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a setup, system that comprises a list of components or steps does not comprise only those components or steps but may comprise other components or steps not expressly listed or inherent to such setup or system. In other words, one or more elements in a system or apparatus preceded by “comprises... a” does not, without more constraints, preclude the existence of other elements or additional elements in the system or apparatus.
In the following detailed description of the embodiments of the disclosure, reference is made to the accompanying drawings, and which are shown by way of illustration specific embodiments in which the disclosure may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the disclosure, and it is to be understood that other embodiments may be utilized and that changes may be made without departing from the scope of the present disclosure. The following description is, therefore, not to be taken in a limiting sense.
The present disclosure will be described herein below with reference to the accompanying drawings. In the following description, well known functions or constructions are not described in detail since they would obscure the description with unnecessary detail.
As used herein, the term "adaptive battery pack" refers to an energy storage unit composed of plurality of battery cells arranged in specific configurations, such as series, parallel, or a combination of both. The adaptive battery pack stores electrical energy and adapts the operational parameters dynamically to suit the connected device.
As used herein, the term "battery cells" refers to individual electrochemical units that store and convert chemical energy into electrical energy within the adaptive battery pack. Each battery cell typically consists of an anode, a cathode, an electrolyte, and a separator. The arrangement of battery cells determines the total voltage and capacity of the adaptive battery pack.
As used herein, the term " modular battery management system " refers to a set of components responsible for monitoring, controlling, and regulating the operation of the adaptive battery pack. Such a modular battery management system makes sure that the battery pack operates within safe and optimal conditions by adjusting operational parameters such as voltage, current, and temperature.
As used herein, the term "protection module" refers to a subsystem within the modular battery management system that safeguards the adaptive battery pack from operational risks such as overcharging, over-discharging, and overheating. The protection module dynamically adjusts operating conditions based on the requirements of the connected device. For example, in an electric tool, the protection arrangement may regulate the current output to prevent overloading.
As used herein, the term "communication module" refers to a subsystem within the modular battery management system that facilitates the exchange of information between the adaptive battery pack, the connected device, and/or a remote server. Such a communication module receives operational parameters such as voltage requirements or discharge rates from external sources and adjusts the operation of battery pack accordingly.
As used herein, the term "operational parameter" refers to any characteristic of the adaptive battery pack that can be adjusted or controlled to meet the requirements of the connected device. Operational parameters comprise voltage output, current output, charge and discharge rates, safety thresholds, and battery balancing settings. For instance, a renewable energy storage device may require a lower discharge rate compared to a power tool that demands higher instantaneous power.
As used herein, the term "data logging module" refers to a component of the adaptive battery pack that records information related to the usage and performance of battery pack. Such information comprises charge-discharge cycles, operational conditions, and device profiles. For example, the data logging module can store profiles of various devices, such as an electric vehicle or a medical device, enabling the modular battery management system to automatically adjust the operational parameters of battery for optimal performance.
As used herein, the term "sensing arrangement" refers to a component of the adaptive battery pack configured to detect environmental parameters such as temperature and humidity. Based on the sensed parameters, the sensing arrangement provides input to the protection arrangement for adjusting operational conditions.
As used herein, the term "device" refers to any electrical or electronic equipment that can be powered by the adaptive battery pack. Such devices comprise electric vehicles, industrial robots, agricultural machinery, home UPS systems, medical equipment, and renewable energy storage systems.
FIG. 1 illustrates an adaptive battery pack 100, in accordance with the embodiments of the present disclosure. The adaptive battery pack 100 (interchangeably referred as battery pack 100) comprises a plurality of battery cells 102. The battery cells 102 serves as an energy storage unit capable of storing and delivering electrical energy for various devices. The plurality of battery cells 102 are arranged in specific configurations, such as series, parallel, or combinations thereof, depending on the energy and power requirements of the application. Each battery cell 102 may comprise an anode, a cathode, an electrolyte, and a separator. The arrangement of battery cells 102 determines the total voltage, capacity, and energy output of the adaptive battery pack 100. For instance, a series configuration increases the voltage output, whereas a parallel configuration increases the total capacity. The adaptive battery pack 100 can adjust the performance dynamically by interacting with a modular battery management system 104, which optimizes the operating parameters to align with requirements of the connected device. The adaptive battery pack 100 is versatile, supporting various applications, comprising electric vehicles, renewable energy storage systems, and power backup systems, where the adaptive battery pack 100 may prioritize high discharge rates or energy retention, as required.
The adaptive battery pack 100, in accordance with the embodiments of the present disclosure, can be a swappable battery pack capable of being connected to various application devices such as electric vehicles, uninterruptible power supply (UPS) systems for residential buildings, and power backup units for data warehouses. Each of such devices operates with unique operational parameters, requiring the battery pack 100 to dynamically adjust operational parameters to meet specific requirements. Such adaptability is achieved through interaction with modular battery management system 104, which optimizes the operating parameters of the battery pack in real-time. For instance, upon connection of the adaptive battery pack 100 is connected to a two-wheel electric vehicle, modular battery management system 104 may prioritize high discharge rates to deliver sufficient power for acceleration and sustained riding performance. In this scenario, the battery pack might operate at a voltage of approximately 72V and deliver a current of up to 40A, providing the necessary power for motor operation. When the same battery pack is subsequently connected to UPS system, battery management system 104 can reconfigure performance to focus on energy retention and steady discharge for prolonged backup. For the UPS, the battery pack might adjust to operate at a voltage of 48V and a current of 10A, enabling stable power delivery for residential or small office equipment during outages. The adaptive nature of the battery pack 100 can be enabled by interaction with the modular battery management system 104, which automatically detects the connected device and optimizes the enable re-configuration. The recalibrated voltage levels, current output, and thermal management to align with the specific demands of the application. Thus, modular battery management system 104 facilitates versatility by dynamically reconfiguring the battery pack's operation, optimizing parameters such as voltage, current, and thermal management based on the requirements of the connected device. Further, the present disclosure enables the adaptive battery pack 100 to achieve broad adoption across diverse fields by combining the flexibility of swappability with intelligent performance optimization.
In an embodiment, the modular battery management system 104 interacts with the battery cells 102 to regulate and monitor the performance. The modular battery management system 104 comprises multiple components that control various operational parameters of the adaptive battery pack 100, comprising voltage, current, temperature, and charge-discharge cycles. The modular battery management system 104 employs data from sensors integrated into the battery pack 100 to adjust in real time. For instance, thermocouples or thermistors detect temperature variations, voltage sensors monitor the state of charge, and current sensors make sure that operational limits are not exceeded.
In an embodiment, a protection module 106 safeguards the battery cells 102 from risks by dynamically adjusting operational parameters based on the specific requirements of the connected device. The protection module 106 interacts with the battery cells 102 and adjust parameters such as voltage, current, charge rate, and discharge rate. The adjustments are based on data collected from sensors embedded within the battery cells 102 and external inputs received from the connected device. For example, in an electric vehicle application, the protection module 106 may increase the discharge rate to meet high power demands, while in a power backup system, the protection module 106 may limit the discharge depth to preserve long-term battery health. The protection module 106 also incorporates safety features such as overvoltage and undervoltage protection, current thresholds, and short-circuit prevention mechanisms.
The modular battery management system 104 is associated with multiple hardware components (transformers, MOSFETs, rectifiers, and other electronic devices etc.), which can be used to dynamically adjust performance based on the requirements of the connected device. For instance, when adaptive battery pack 100 is connected to electric vehicle requiring a higher voltage for operation, a transformer is employed to step up the voltage to meet the device’s power demands, enabling the motor operates efficiently during acceleration and sustained travel. Similarly, DC-DC converters are used to regulate voltage output dynamically, maintaining consistency even under varying load conditions. The modular battery management system 104 enable reconfigure the arrangement of its battery cells—either in series or parallel—through selective activation and deactivation of specific pathways using high-speed MOSFET switches to alter the electrical configuration in real time. For example, when higher voltage is required, such as in electric vehicles, the cells can be connected in series to aggregate their voltages. Alternatively, when higher capacity or lower voltage is needed, such as for a UPS system, the cells can be reconfigured in parallel to optimize current output and energy storage. The modular battery management system 104 can also be associated with a sensing unit to identify type of connected device and communicate this information to modular battery management system 104. The sensing unit can enable battery management system 104 to reconfigure the operational parameters to align with the operational profile of the device. For identification, sensing unit can use cameras, scanners, communication interfaces, and electrical parameter sensors. For example, camera or scanner integrated into the sensing unit can scan a barcode or QR code located on the connected device. The QR or bar code is embedded with information specific to device type, such as electric vehicle or UPS system. Upon decoding the information, the sensing unit communicates data to the battery management system 104, which reconfigures operational parameters of battery pack to meet the device specific requirements. Alternatively, the sensing unit may access an embedded identifier directly from the connected device using communication protocols such as CAN, I2C, or UART (Universal Asynchronous Receiver-Transmitter). For instance, CAN communication interface in electric vehicle could transmit data packets comprising information (e.g., voltage, current, and power requirements) to the sensing unit. The battery management system 104 use the transmitted information to dynamically adjusts the battery pack 100 to match the specified parameters. Optionally, the sensing unit utilizes electrical parameter sensors to detect the characteristics of the connected device. For example, when the battery pack is connected to a device, the sensing unit could measure parameters such as the load resistance, initial voltage, or current draw. The measured parameters provide a unique signature that the battery management system 104 can use to identify the device type. For instance, two-wheel electric vehicle might exhibit lower resistance and higher initial current draw compared to UPS system, enabling the battery management system 104 to distinguish between the two devices.
In an embodiment, a communication module 108 within the modular battery management system 104 facilitates the exchange of operational parameters between the battery cells 102, the connected device, and/or a remote server. The communication module 108 serves as a gateway for receiving external inputs and transmitting internal performance data. Such external inputs comprise operational parameters like voltage levels, discharge profiles, and charge settings required by the connected device. The communication module 108 may utilize various communication protocols, comprising wired connections or wireless communication such as Wi-Fi or Bluetooth, to exchange information with the external device or server. For example, in an industrial robotic application, the communication module 108 may receive instructions for a high-current output profile from a remote server to optimize performance during peak load operations.
In an embodiment, the received operational parameter is utilized by the modular battery management system 104 to reconfigure the operating condition of the battery cells 102 upon connection to a new device. The reconfiguration process involves adjusting the settings of the battery cells 102, such as voltage, current, and charge rates, to align with the specific needs of the device. The modular battery management system 104 uses the operational parameters, combined with the real-time data collected from the sensors of battery cells 102, to assure that the operating conditions are optimal for the requirements of device. For example, when connected to an agricultural machine, the battery cells 102 may prioritize a high current output for heavy-duty operations, while for a renewable energy storage application, battery cells 102 may prioritize energy retention. The reconfiguration process affirms compatibility of the battery cells 102 with a broad range of devices across diverse industries.
In an exemplary aspect, the adaptive battery pack 100 is implemented in a smart electric scooter to enhance battery performance and optimize energy utilization. The adaptive battery pack 100 comprises a plurality of battery cells 102 and a modular battery management system 104, which comprises a protection module 106 and a communication module 108. The adaptive system dynamically adjusts operating conditions based on real-time parameters received from the onboard systems of scooter and a remote server. Upon connection to the smart electric scooter, the communication module 108 identifies the device type and configures the adaptive battery pack 100 to a baseline operational setting suitable for electric scooters. The system then begins monitoring environmental and operational parameters. For instance, in a high-temperature environment with an ambient temperature of 45°C and a battery temperature of 55°C, the protection module 106 activates thermal management protocols to safeguard the battery cells 102.
During operation, the onboard system of scooter sets the scooter to “Sport” mode for high performance, prompting the battery cells 102 to adjust the power delivery configuration accordingly. Simultaneously, the state of charge (SOC) of the battery drops to 30%, triggering the energy-saving mode to extend the range of scooter, which is estimated at 60 km by the onboard system.
The communication module 108 connects to a remote server that analyzes driving patterns, such as frequent high acceleration and short trips. Based on the analysis, the server sends operational parameters to the modular battery management system 104, which adjusts the cell discharge rate to prevent battery degradation under these conditions. Additionally, the remote server dispatches a firmware update signal to the modular battery management system 104, enabling the system to apply the update for improved functionality and performance optimization.
The adaptive battery pack exemplifies the dynamic capabilities by limiting the charging current from 20 kW to 15 kW during fast charging, thereby preventing overheating. By actively managing discharge rates, power delivery, and thermal protection, the system makes sure the scooter operates safely, efficiently, and with extended battery life, all while adapting to real-time requirements.
In an embodiment, the communication module 108 connects to a remote server to receive the operational parameter based on the specific requirements of the device to which the adaptive battery pack 100 is to be connected. The communication module 108 facilitates interaction between the battery cells 102 and the remote server through established communication networks such as Wi-Fi, Bluetooth, Zigbee, or other suitable wireless or wired communication technologies. The operational parameter received by the communication module 108 may comprise voltage settings, current limits, charge-discharge profiles, or other device-specific requirements. For instance, if the adaptive battery pack 100 is intended for use in a medical device, the communication module 108 may retrieve parameters such as low discharge rates and stable voltage profiles. Similarly, for an electric vehicle, the operational parameter may involve high discharge rates and fast-charging profiles. The communication module 108 enables dynamic reconfiguration of the adaptive battery pack 100 by transmitting the retrieved operational parameter to the modular battery management system 104. The reconfiguration affirms that the adaptive battery pack 100 operates optimally based on the needs of the connected device. The communication module 108 also supports bidirectional communication, allowing the adaptive battery pack 100 to send diagnostic and operational data back to the remote server for monitoring or further optimization of the adaptive battery pack 100.
In an embodiment, the adaptive battery pack 100 further comprises a data logging module configured to store profiles of multiple devices. Each stored profile corresponds to an operational parameter associated with a specific device type. When the adaptive battery pack 100 is connected to a device, the modular battery management system 104 identifies the type of device based on the connection and selects the appropriate profile from the data logging module. For example, the data logging module may store profiles for electric vehicles, medical equipment, and renewable energy storage systems, each profile defining parameters such as charging voltage, discharge current, and operational temperature ranges. Upon identifying the connected device as an electric vehicle, the modular battery management system 104 retrieves the corresponding profile from the data logging module and adjusts the operational parameters of the adaptive battery pack 100 accordingly. The data logging module may also store historical usage data for each device profile, enabling long-term optimization of the battery performance. For instance, the data logging module can track usage patterns such as charge-discharge cycles, average power consumption, and peak load durations for a specific device, which the modular battery management system 104 can analyze to fine-tune the adaptive battery pack 100 for improved compatibility and performance with the connected device.
In an embodiment, the adaptive battery pack 100 comprises a sensing arrangement configured to detect environmental parameters such as temperature and humidity. The sensing arrangement continuously monitors the surrounding environment to provide real-time data to the modular battery management system 104. The sensing arrangement may comprise sensors such as thermocouples, thermistors, and humidity sensors to measure variations in temperature and moisture levels. For example, the sensing arrangement can detect elevated temperatures in an industrial application or increased humidity in outdoor environments. Based on the detected environmental conditions, the protection module 106 adjusts the operational parameters of the adaptive battery pack 100 to enable optimal performance and safety. For instance, when the sensing arrangement detects high ambient temperatures, the protection module 106 may reduce the charge or discharge rate of the adaptive battery pack 100 to prevent overheating. Conversely, in low-temperature conditions, the protection module 106 may increase the allowable current to enable proper functionality of the connected device. The sensing arrangement assures that the adaptive battery pack 100 operates reliably under diverse environmental conditions by dynamically communicating environmental data to the modular battery management system 104 for appropriate adjustments.
In an embodiment, the communication module 108 of the adaptive battery pack 100 is configured to verify the identity of the device prior to reconfiguring the operational parameter of the adaptive battery pack 100. The communication module 108 performs the verification process by exchanging authentication data with the connected device. Authentication data may comprise device identifiers such as serial numbers, encrypted codes, or other unique identification information. For instance, when the adaptive battery pack 100 is connected to an electric vehicle, the communication module 108 may request an encrypted identifier from the control system of vehicle. Upon receiving and validating the identifier, the communication module 108 enables the reconfiguration of the adaptive battery pack 100 through the modular battery management system 104. If the identity of the connected device cannot be verified, the communication module 108 may prevent reconfiguration and restrict the operation of the adaptive battery pack 100 to safeguard against unauthorized or incompatible devices. The verification process affirms secure operation and compatibility of the adaptive battery pack 100 with authorized devices across various applications.
In an embodiment, the operational parameter of the adaptive battery pack 100 is selected from a range of characteristics that define the performance of the adaptive battery pack 100. Such operational parameters comprise voltage output, maximum current output, charging profiles, discharge rates, discharge depth levels, battery balancing parameters, and safety threshold parameters, as well as combinations thereof. For instance, a voltage output parameter defines the level of voltage delivered by the adaptive battery pack 100, which may vary depending on the connected device. Similarly, a discharge rate parameter determines how quickly the stored energy is delivered, which may be higher for power tools or electric vehicles and lower for energy storage devices. The charging profile parameter specifies the charging speed and current limits to align with the requirements of the connected device. Safety threshold parameters, such as overvoltage, undervoltage, and short-circuit thresholds, define the safe operating limits of the adaptive battery pack 100. Each operational parameter is dynamically adjusted by the modular battery management system 104 based on the device type and environmental conditions to assure optimal compatibility and safety.
In an embodiment, the protection module 106 dynamically adjusts the operational parameter of the adaptive battery pack 100 based on the specific requirements of the connected device. The operational parameter adjusted by the protection module 106 may comprise voltage requirements, charge rates, discharge rates, current output profiles, overvoltage levels, undervoltage levels, overcurrent thresholds, and short-circuit protection parameters. For example, when the adaptive battery pack 100 is connected to an electric vehicle, the protection module 106 may increase the discharge rate and adjust the current output profile to meet high power demands. In contrast, when connected to a renewable energy storage device, the protection module 106 may prioritize stability by limiting the discharge depth and adjusting the safety thresholds for long-term energy retention. The protection module 106 operates dynamically in real time, using data provided by the modular battery management system 104 to continuously monitor and adjust the operational parameters to align with the requirements of the connected device.
In an embodiment, the data logging module of the adaptive battery pack 100 records data related to charge-discharge cycles to estimate battery degradation over time and determine potential secondary uses of the adaptive battery pack 100. The data logging module continuously collects and stores information such as the number of charge-discharge cycles, average depth of discharge, peak power consumption, and environmental factors affecting battery performance. For instance, the data logging module may track frequent deep discharge cycles in an electric vehicle application, which can accelerate battery degradation. Based on the recorded data, the modular battery management system 104 can estimate the remaining lifespan of the adaptive battery pack 100 and identify opportunities for secondary use. Secondary use applications may comprise repurposing the adaptive battery pack 100 for less demanding applications such as stationary energy storage or backup power systems. The data logging module provides the modular battery management system 104 with insights into the long-term performance and reuse of the adaptive battery pack 100, enabling efficient utilization across the lifecycle.
In an embodiment, the modular battery management system 104 automatically switches between stored device profiles in the adaptive battery pack 100 upon detecting a new device connection. Each stored device profile in the data logging module is associated with a set of operational parameters specific to a device type. For example, the data logging module may comprise profiles for electric vehicles, industrial robots, and renewable energy storage systems, each profile defining parameters such as voltage output, charge rate, and safety thresholds. When a new device is connected, the modular battery management system 104 identifies the device type based on communication with the device and selects the corresponding profile from the data logging module. The selected profile is then used to reconfigure the operational parameters of the adaptive battery pack 100 in real time, assuring compatibility with the newly connected device. The automatic switching capability allows the adaptive battery pack 100 to seamlessly adapt to multiple devices without manual intervention, supporting a wide range of applications.
In an embodiment, the device to which the adaptive battery pack 100 is connected is selected from a variety of applications, comprising electric vehicles, home UPS systems, agricultural machinery, medical equipment, data center emergency power supplies, industrial robotic devices, power tools, renewable energy storage devices, consumer electronics, and energy storage devices of a power grid. Each device type has unique power and energy requirements, which are met by dynamically adjusting the operational parameters of the adaptive battery pack 100 through the modular battery management system 104. For instance, an electric vehicle may require high discharge rates and fast-charging capabilities, whereas a home UPS system may prioritize long-term energy retention and stable voltage output. Similarly, agricultural machinery may demand high power outputs for heavy-duty operations, while medical equipment may require precise and stable energy delivery to support various applications.
FIG. 2 illustrates a block diagram of a modular battery management system 200 (similar to the modular battery management system 104 of FIG. 1), in accordance with the embodiments of the present disclosure. The modular battery management system 200 comprises a protection module 202 (similar to the protection module 106 of FIG. 1). The protection module 202 safeguards the adaptive battery pack 100 by dynamically adjusting an operating condition based on the requirements of a device into which the adaptive battery pack 100 is installed. The protection module 202 monitors operating parameters such as voltage, current, and temperature through integrated sensors within the adaptive battery pack 100. Based on such monitored parameters, the protection module 202 adjusts thresholds or limits to prevent overcharging, over-discharging, overheating, or other adverse conditions that may affect the performance of the adaptive battery pack 100. The protection module 202 adapts operating conditions in response to feedback from the connected device, aligning the power output and performance of the adaptive battery pack 100 with the specific needs of the connected device. Such adaptation is achieved through electronic control circuitry and real-time switching mechanisms that modify battery parameters during operation. Additionally, the protection module 202 incorporates programmable settings that allow customisation of operating parameters to support specific applications or device requirements. The protection module 202 also comprises circuitry to facilitate compatibility of the adaptive battery pack 100 across various devices, thereby maintaining consistent performance across a wide range of operating environments.
In an embodiment, the modular battery management system 200 further comprises a communication module 204 (similar to the communication module 108 of FIG. 1). The communication module 204 receives an operational parameter from the device and/or a remote server. Such operational parameter comprises information related to device type, power consumption characteristics, and other specifications. The modular battery management system 200 uses the operational parameter to reconfigure the operating condition of the adaptive battery pack 100 when connected to the device. The communication module 204 exchanges data with the connected device through standardised communication methods, such as wireless or wired protocols, to achieve compatibility across multiple devices. The communication module 204 processes the received operational parameter and transmits it to other components of the modular battery management system 200 for implementation. The communication module 204 supports real-time bidirectional data exchange between the adaptive battery pack 100 and external systems to monitor and adjust the battery performance dynamically. To protect the integrity of the transmitted data, the communication module 204 employs encryption and authentication methods that prevent unauthorised access or interference. Additionally, the communication module 204 facilitates remote updates of software or firmware within the modular battery management system 200, allowing enhancements in system performance. The communication module 204 may optionally integrate predictive analytics to analyse historical data and suggest configurations based on anticipated operating conditions.
In an embodiment, the modular battery management system 200 also comprises a data logging module 206. The data logging module 206 stores profiles of multiple devices, with each profile associated with operational parameters specific to the respective device. Upon connection of the adaptive battery pack 100 to a device, the data logging module 206 identifies the device type and retrieves the corresponding profile from stored data. Such profile retrieval allows the modular battery management system 200 to select operational parameters suited to the connected device, enabling optimised performance. The data logging module 206 utilises non-volatile memory to store profiles and operational parameters persistently, allowing data retention even during power interruptions. The data logging module 206 analyses stored profiles to refine selection processes, enhancing the adaptability of the modular battery management system 200 to diverse devices. Additionally, the data logging module 206 supports manual updates to profiles, providing flexibility for incorporating customised operational parameters for specific applications. The data logging module 206 also maintains logs of previous operations and device interactions, which can be accessed for diagnostics or performance analysis. Such stored logs facilitate troubleshooting and the evaluation of system performance over time, contributing to improved reliability of the modular battery management system 200.
FIG. 3 illustrates a method 300 for operating an adaptive battery pack, in accordance with the embodiments of the present disclosure. At step 302, an operational parameter is received by the communication module from a device or a remote server. The operational parameter specifies at least one requirement for operation of the device. Such requirements may comprise power consumption levels, voltage ranges, or current limits needed by the connected device. The communication module establishes a data exchange link with the device or server using standard communication protocols, such as wireless protocols or wired connections. The received operational parameter is transmitted securely to ensure data integrity and prevent unauthorised access. The communication module facilitates continuous monitoring of incoming data during the operation of the adaptive battery pack.
At step 304, the operational parameter received by the communication module is processed within the modular battery management system. Such processing involves analysing the operational parameter to determine whether the current configuration of the adaptive battery pack aligns with the specified requirements of the connected device. The modular battery management system evaluates various factors, such as the voltage and current output levels of the adaptive battery pack, against the operational parameter. A reconfiguration strategy is then formulated by the modular battery management system to modify the operating condition of the adaptive battery pack as per the requirements of the connected device. The processing may also comprise filtering or prioritising data when multiple operational parameters are received simultaneously.
At step 306, the reconfiguration strategy determined at step 304 is used to dynamically adjust at least one operating condition of the adaptive battery pack through the protection module. The operating condition may include parameters such as charge rate, discharge rate, voltage threshold, or current limit. The protection module implements the adjustments in real-time by modifying control settings within the adaptive battery pack. The adjustment prevents potential risks such as overcharging, over-discharging, or overheating, while simultaneously adapting the performance of the adaptive battery pack to meet the operational requirements of the connected device. The adjustments are continuously monitored and fine-tuned as required.
The adaptive battery pack 100 provides an energy storage unit capable of dynamically adapting the performance based on connected device requirements. The plurality of battery cells 102 are arranged in series, parallel, or a combination thereof, depending on the desired voltage, capacity, and energy output. Such configurations enable the adaptive battery pack 100 to meet the operational needs of various applications, comprising high-power tools or long-duration backup systems. By accommodating diverse energy demands, the adaptive battery pack 100 eliminates the need for application-specific energy storage solutions and optimizes overall utility.
The modular battery management system 104 interacts with the battery cells 102 to monitor and adjust the operational parameters in real-time. Data from embedded sensors, such as temperature sensors, voltage monitors, and current detectors, is utilized by the modular battery management system 104 to regulate parameters like charge rate, discharge rate, and safety thresholds. Dynamic control prevents operational risks such as overcharging, over-discharging, or overheating. By maintaining optimal conditions for the adaptive battery pack 100, the modular battery management system 104 supports reliable and safe operation across multiple applications.
The protection module 106 dynamically modifies operational parameters to align with the requirements of connected devices. Adjustments comprise setting voltage output, limiting current draw, modifying charge profiles, or activating safety features such as overcurrent and short-circuit protection. For instance, when connected to an industrial tool requiring high discharge rates, the protection module 106 increases the current output, while for a backup power system, the protection module 106 restricts the discharge depth to extend battery lifespan. Flexible control safeguards the adaptive battery pack 100 while maximizing compatibility with diverse devices.
The communication module 108 receives operational parameters from the connected device or a remote server, enabling reconfiguration of the adaptive battery pack 100 based on the specific needs of the application. The communication module 108 supports various communication technologies, comprising Wi-Fi, Bluetooth, and wired connections, allowing integration with devices or external systems. For example, an electric vehicle control system can transmit a high-discharge-rate parameter to the communication module 108, which the modular battery management system 104 applies to optimize the adaptive battery pack 100 for propulsion tasks.
The communication module 108, when connecting to a remote server, retrieves operational parameters customized to the connected device. Remote connectivity enables the adaptive battery pack 100 to respond to updates or operational adjustments without requiring manual intervention. For instance, a remote server may provide charging profile updates for devices operating under specific environmental conditions or load scenarios, which are applied through the modular battery management system 104 to maintain optimal operation.
The data logging module stores operational profiles for multiple devices, each associated with specific parameters like voltage settings, discharge rates, and safety thresholds. Upon connection, the modular battery management system 104 identifies the device type and retrieves the appropriate profile from the data logging module. Said process reduces setup time and assures the adaptive battery pack 100 operates within the optimal range for each application. Historical usage data recorded by the data logging module also enables long-term optimization by identifying trends in energy consumption or wear patterns.
The sensing arrangement detects environmental factors such as temperature and humidity, relaying such information to the modular battery management system 104. Real-time environmental data is used to adjust operational parameters of the adaptive battery pack 100, mitigating risks associated with extreme conditions. For example, high ambient temperatures may prompt reduced discharge rates to prevent overheating, while low temperatures may require increased energy output to maintain device functionality. Adjustments improve the reliability of the adaptive battery pack 100 in diverse operating environments.
The communication module 108 verifies the identity of connected devices before allowing reconfiguration of the adaptive battery pack 100. The verification process involves exchanging authentication data, such as encrypted device identifiers, to confirm compatibility. Unauthorized or incompatible devices are restricted from accessing the adaptive battery pack 100, preventing misuse or operational hazards. Security measures make sure the integrity and safety of the adaptive battery pack 100.
Operational parameters, comprising voltage output, current output, charge profiles, discharge rates, and safety thresholds, are selected based on the specific requirements of the connected device. For instance, a high-discharge-rate parameter may be applied for an electric vehicle, while a stable voltage output parameter may be used for medical equipment. The ability to custom parameters dynamically enhances the versatility of the adaptive battery pack 100 across a wide range of applications.
The protection module 106 adjusts operational parameters dynamically to meet device-specific requirements, such as voltage levels, charge rates, or current profiles. For example, connecting an agricultural machine requiring high power output prompts the protection module 106 to allow higher current levels, while a renewable energy storage system prioritizes stable voltage and controlled discharge rates. Adaptability supports the diverse operational demands of the connected devices.
The data logging module records charge-discharge cycles to monitor battery degradation and identify potential secondary applications for the adaptive battery pack 100. For instance, after high-performance use in electric vehicles, a partially degraded adaptive battery pack 100 may be repurposed for less demanding applications like stationary energy storage. Lifecycle management maximizes the utility of the adaptive battery pack 100.
The modular battery management system 104 automatically switches between stored device profiles upon detecting a new connection. Each profile corresponds to a device type, enabling reconfiguration without manual intervention. For instance, connecting an industrial robotic device triggers the retrieval of a profile optimized for high-current operation, while connecting a consumer electronic device retrieves a low-power profile. Automation supports the efficient use of the adaptive battery pack 100 across varied applications.
The adaptive battery pack 100 accommodates a wide range of devices, comprising electric vehicles, home UPS systems, agricultural machinery, medical equipment, data center emergency power supplies, industrial robotic devices, power tools, renewable energy storage systems, consumer electronics, and grid-connected energy storage systems. Each application benefits from dynamically adjusted operational parameters customized to the specific power and energy requirements. For instance, electric vehicles may demand fast charging and high discharge rates, while home UPS systems prioritize long-duration energy retention.
The protection module 202 safeguards the adaptive battery pack by dynamically adjusting operating conditions such as voltage, current, and temperature in response to the requirements of a connected device. Said protection module 202 prevents overcharging, over-discharging, and overheating, thereby extending the operational lifespan of the adaptive battery pack. By continuously monitoring operational parameters and modifying thresholds in real-time, said protection module 202 optimises performance of the adaptive battery pack for compatibility with various devices. Said capability eliminates manual reconfiguration, allowing consistent operation across diverse device specifications and reducing downtime during transitions between devices.
The communication module 204 facilitates data exchange with a connected device or remote server to receive operational parameters such as power consumption profiles, voltage ranges, or specific performance requirements. Said operational parameters guide reconfiguration of the adaptive battery pack to meet the specific needs of the connected device. Secure data transmission safeguards against interference or unauthorised access, maintaining system reliability. Said communication module 204 also supports real-time bidirectional communication, enabling continuous monitoring and adjustment of the adaptive battery pack during operation. Said communication improves energy utilisation and minimises risks of operational errors by adapting dynamically to varying device requirements.
The data logging module 206 stores profiles of multiple devices, associating each profile with operational parameters specific to a respective device. Upon connection of the adaptive battery pack to a device, said data logging module 206 identifies the device type and retrieves a corresponding profile. Said retrieval allows rapid reconfiguration of the adaptive battery pack without requiring manual input, significantly reducing response time. Said stored profiles provide a historical record of device interactions, improving adaptability and eliminating repeated calibration processes. Said capability facilitates consistent and efficient operation when the adaptive battery pack is used with devices of varying specifications.
Receiving operational parameters via the communication module 204 facilitates real-time adaptation of the modular battery management system to specific requirements of a connected device. Said parameters include detailed information such as power consumption and voltage needs, allowing informed adjustments to the adaptive battery pack configuration. Secure transmission methods protect data integrity and prevent interference during exchange. Processing said operational parameters within the modular battery management system results in a customized reconfiguration strategy aligned with the requirements of the connected device. Said processing optimises performance by preventing mismatches between battery output and device needs, reducing risks of overloading or underutilisation.
Dynamic adjustment of the adaptive battery pack operating conditions via the protection module 202 prevents conditions such as overcharging, overheating, or excessive discharge while meeting operational requirements of a connected device. Said adjustments involve modifying parameters such as voltage thresholds, current limits, or charge-discharge rates in real-time. Continuous monitoring by the protection module 202 enables rapid responses to changes in device requirements or environmental conditions, maintaining consistent operation. By preserving the adaptive battery pack integrity and adapting to varying operating environments, the modular battery management system achieves reliable and responsive performance across diverse applications.
In the description of the present invention, it is also to be noted that, unless otherwise explicitly specified or limited, the terms “disposed,” “mounted,” and “connected” are to be construed broadly, and may for example be fixedly connected, detachably connected, or integrally connected, either mechanically or electrically. They may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Although embodiments have been described with reference to a number of illustrative embodiments thereof, it should be understood that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the spirit and scope of the principles of this disclosure. More particularly, various variations and modifications are possible in the component parts and/or arrangements of the subject combination arrangement within the scope of the present disclosure, the drawings and the appended claims. In addition to variations and modifications in the component parts and/or arrangements, alternative uses will also be apparent to those skilled in the art.
,CLAIMS:WE CLAIM:
1. An adaptive battery pack 100, comprising:
- a plurality of battery cells 102; and
- a modular battery management system 104, wherein the modular battery management system 104 comprises:
- a protection module 106 is configured to safeguard the adaptive battery pack 100 by dynamically adjusting an operating condition based on the requirements of a device into which the adaptive battery pack 100 is installed; and
- a communication module 108 is configured to receive an operational parameter from the device and/or a remote server, wherein the received operational parameter is used by the modular battery management system 104 to reconfigure the operating condition of the adaptive battery pack 100 upon connection to the device.
2. The adaptive battery pack 100 as claimed in claim 1, wherein the communication module 108 connects to the remote server to receive the operational parameter based on the device to which the adaptive battery pack 100 is to be connected.
3. The adaptive battery pack 100 as claimed in claim 1, further comprises a data logging module configured to store the profiles of multiple devices, wherein each profile is associated with the operational parameter of the device, and wherein the modular battery management system 104 identifies a device type on connection of the adaptive battery pack 100 to the device and selects an appropriate profile, based on the identified device type.
4. The adaptive battery pack 100 as claimed in claim 1, wherein the system comprises a sensing arrangement configured to detect the environmental parameters comprising temperature and humidity, and wherein the protection module 106 adjusts the operational parameter of the adaptive battery pack 100 based on the detected environmental conditions.
5. The adaptive battery pack 100 as claimed in claim 1, wherein the communication module 108 is configured to verify an identity of the device prior to reconfiguring the operational parameter of the adaptive battery pack 100.
6. The adaptive battery pack 100 as claimed in claim 1, wherein the operational parameter is selected from a voltage output, a maximum current output, a charging profile, a discharge rate, a discharge depth level, a battery balancing parameter, a safety threshold parameter, and a combination thereof.
7. The adaptive battery pack 100 as claimed in claim 1, wherein the protection module 106 dynamically adjusts the operational parameter based on a requirement of the connected device.
8. The adaptive battery pack 100 as claimed in claim 3, wherein the data logging module records data on a charge-discharge cycle to estimate battery degradation over time and determine a secondary use of the adaptive battery pack 100.
9. The adaptive battery pack 100 as claimed in claim 1, wherein the modular battery management system 104 automatically switches between the stored device profiles, upon detecting a new device connection.
10. The adaptive battery pack 100 as claimed in claim 1, wherein the device is selected from an electric vehicle, a home UPS system, agricultural machinery, medical equipment, a data center emergency power supply, an industrial robotic device, a power tool, a renewable energy storage device, a consumer electronic, and an energy storage device of a power grid.
11. A modular battery management system, wherein the modular battery management system comprises:
a protection module is configured to safeguard an adaptive battery pack by dynamically adjusting an operating condition based on the requirements of a device into which the adaptive battery pack is installed;
a communication module is configured to receive an operational parameter from the device and/or a remote server, wherein the received operational parameter is used by the modular battery management system to reconfigure the operating condition of the adaptive battery pack upon connection to the device; and
data logging module configured to store the profiles of multiple devices, wherein each profile is associated with the operational parameter of the device, and wherein the modular battery management system identifies a device type on connection to the adaptive battery pack to the device and selects an appropriate profile, based on the identified device type.
12. A method 300 for operating an adaptive battery pack, comprising:
receiving, via a communication module, an operational parameter from a device or a remote server, wherein the operational parameter specifies at least one requirement for operation of the device;
processing, the operational parameter within a modular battery management system to determine a reconfiguration strategy for the adaptive battery pack; and
dynamically adjusting, via a protection module, at least one operating condition of the adaptive battery pack based on the determined reconfiguration strategy, wherein such adjustment safeguards the adaptive battery pack while meeting the operational requirements of the device.