Description:IOT BASED ENERGY STORAGE SYSTEM FOR ELECTRIC VEHICLE

The present invention relates to an IoT-based energy storage system designed to enhance the efficiency and reliability of electric vehicles (EVs) through intelligent energy management. The system incorporates advanced communication, control, and monitoring mechanisms to optimize energy utilization, prolong battery lifespan, and ensure seamless integration with smart grids. The energy storage system comprises a battery unit, a communication module, a control unit, and a cloud-based platform, all working in tandem to create a comprehensive IoT-enabled solution for EV energy management.

BACKGROUND
[0001] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0002] The widespread adoption of electric vehicles (EVs) represents a pivotal shift towards reducing carbon emissions and achieving sustainable transportation solutions. However, the efficiency and practicality of EVs are closely tied to their energy storage systems, particularly the batteries. To optimize the performance, range, and longevity of EVs, efficient energy management systems are crucial.
[0003] Lithium-ion batteries, commonly used in EVs, exhibit limited lifespan and performance due to factors such as temperature fluctuations, charging patterns, and depth of discharge. Inadequate energy management practices can accelerate battery degradation, reducing the overall efficiency and longevity of the EV.
[0004] Traditional charging methods often lack adaptability and real-time optimization. Charging during peak electricity demand periods can strain the power grid, while charging during high electricity price hours can result in increased operational costs for EV owners.
[0005] Integrating a large number of EVs into existing power grids introduces challenges related to grid stability, load management, and the need for seamless two-way energy exchange.
[0006] As renewable energy sources gain prominence, it becomes essential to efficiently harness and integrate intermittent energy from sources like solar and wind into the EV ecosystem.
[0007] EV owners seek improved control over their vehicles' energy consumption and charging behavior. Traditional charging systems may lack user-friendly interfaces that enable customization and real-time adjustments.
[0008] The IoT-based energy storage system described herein presents a transformative solution to address the complexities of EV energy management. By leveraging the capabilities of the Internet of Things (IoT) and advanced data analytics, this system offers a holistic approach to enhance energy utilization, battery performance, grid integration, and user experience.
[0009] All publications herein are incorporated by reference to the same extent as if each individual publication or patent application were specifically and individually indicated to be incorporated by reference. Where a definition or use of a term in an incorporated reference is inconsistent or contrary to the definition of that term provided herein, the definition of that term provided herein applies and the definition of that term in the reference does not apply.
[00010] As used in the description herein and throughout the claims that follow, the meaning of “a,” “an,” and “the” includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein, the meaning of “in” includes “in” and “on” unless the context clearly dictates otherwise.

OBJECTS OF THE INVENTION
[0011] It is an object of the present disclosure to optimize the utilization of energy stored in electric vehicle batteries. This involves developing dynamic energy management strategies that take into account real-time data from various sources to ensure efficient charging and discharging patterns, minimizing energy wastage.
[0012] It is an object of the present disclosure to extend the operational lifespan of EV batteries. By implementing intelligent charging and discharging algorithms that consider battery health indicators and stress factors, the system intends to reduce wear and tear on the battery cells, ultimately increasing their longevity.
[0013] It is an object of the present disclosure to facilitate the integration of renewable energy sources, such as solar and wind, into the EV ecosystem. By optimizing the timing of charging and discharging based on the availability of renewable energy, the system seeks to reduce reliance on non-renewable energy sources.
[0013] It is an object of the present disclosure to push the boundaries of technology in the field of electric vehicle energy management. By integrating IoT connectivity, data analytics, and predictive algorithms, the system seeks to establish a new standard for smart and efficient energy utilization in the automotive sector.
SUMMARY
[0001] The present invention proposes a IOT based energy storage system for electric vehicle.
[0002] The present invention introduces an IoT-based energy storage system designed to revolutionize the energy management landscape for electric vehicles (EVs). By integrating cutting-edge technologies such as the Internet of Things (IoT), advanced data analytics, and dynamic control mechanisms, the system addresses critical challenges in EV energy management, battery lifespan, grid integration, and user experience. The primary focus is on optimizing energy utilization, enhancing battery performance, and contributing to grid stability, all while promoting renewable energy adoption and efficient transportation.
[0003] The invention utilizes system establishes seamless communication between EVs, charging infrastructure, renewable energy sources, and grid systems through IoT-enabled modules. This connectivity enables real-time data exchange, remote monitoring, and dynamic control of energy flow.
[0004] One should appreciate that although the present disclosure has been explained with respect to a defined set of functional modules, any other module or set of modules can be added/deleted/modified/combined and any such changes in architecture/construction of the proposed method are completely within the scope of the present disclosure. Each module can also be fragmented into one or more functional sub-modules, all of which also completely within the scope of the present disclosure.
[0005] Various objects, features, aspects and advantages of the inventive subject matter will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which like numerals represent like components.

BRIEF DESCRIPTION OF THE DRAWINGS
[0014] The accompanying drawings are included to provide a further understanding of the present disclosure, and are incorporated in and constitute a part of this specification. The drawings illustrate exemplary embodiments of the present disclosure and, together with the description, serve to explain the analysis of the present disclosure.
[0015] Figure 1: IOT based energy storage system for electric vehicle.
DETAILED DESCRIPTION
[0016] In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present invention. It will be apparent to one skilled in the art that embodiments of the present invention may be practiced without some of these specific details.
[0017] If the specification states a component or feature “may”, “can”, “could”, or “might” be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic.
[0018] Exemplary embodiments will now be described more fully hereinafter with reference to the drawings, in which exemplary embodiments are shown. This disclosure, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. These embodiments are provided so that this disclosure will be thorough and complete and will fully convey the scope of the invention to those of ordinary skill in the art. Moreover, all statements herein reciting embodiments of the invention, as well as specific examples thereof, are intended to encompass both structural and functional equivalents thereof. Additionally, it is intended that such equivalents include both currently known equivalents as well as equivalents developed in the future (i.e., any elements developed that perform the same function, regardless of structure.
[0019] various terms as used herein are shown below. To the extent a term used in a claim is not defined below, it should be given the broadest definition persons in the pertinent art have given that term as reflected in printed publications and issued patents at the time of filing.
[0020] The IoT-based energy storage system for electric vehicles redefines the concept of energy management in the EV domain. By leveraging IoT connectivity, real-time data analytics, and dynamic control mechanisms, the invention optimizes energy utilization, enhances battery performance, supports grid stability, and promotes the adoption of renewable energy. With its comprehensive approach to EV energy management, the system has the potential to accelerate the transition to a more sustainable and efficient transportation landscape, benefiting users, the environment, and the energy sector as a whole.
[0021] The IoT-based energy storage system for electric vehicles redefines the concept of energy management in the EV domain. By leveraging IoT connectivity, real-time data analytics, and dynamic control mechanisms, the invention optimizes energy utilization, enhances battery performance, supports grid stability, and promotes the adoption of renewable energy. With its comprehensive approach to EV energy management, the system has the potential to accelerate the transition to a more sustainable and efficient transportation landscape, benefiting users, the environment, and the energy sector as a whole.
[0022] By utilizing real-time data analysis, the system adapts energy management strategies to suit prevailing conditions. It determines the optimal times for charging and discharging based on factors such as energy demand, battery health, grid stability, and renewable energy availability.
[0023] The invention actively participates in demand-response programs, enhancing grid stability by releasing stored energy during peak demand and absorbing surplus energy during off-peak hours. This bidirectional energy flow supports the resilience of power grids.
, Claims:I/We Claim
1. Claim 1 IOT based energy storage system for electric vehicle., comprising:
a. An electric vehicle energy storage unit configured for bidirectional energy flow.
b. An IoT communication module integrated within the electric vehicle energy storage unit.
c. A central control unit communicatively linked to the IoT communication module.
d. A cloud-based platform in communication with the control unit.
e. A dynamic energy management strategy component adapted to dynamically adjust charging and discharging strategies based on inputs from the battery sensors, external data sources, and user preferences.
f. A grid integration capability, wherein the system actively participates in demand-response programs, releasing stored energy to the power grid during peak demand periods and absorbing surplus energy during off-peak hours.
Claim 2: The IoT-Based Energy Storage System of claim 1, wherein the IoT communication module establishes real-time bidirectional communication with external entities, including charging stations, renewable energy sources, power grids, and cloud-based platforms.
Claim 3: The IoT-Based Energy Storage System of claim 1, wherein the central control unit comprises a central processing unit (CPU) configured to receive and process data from the electric vehicle energy storage unit, the IoT communication module, and external data sources.
Claim 4: The IoT-Based Energy Storage System of claim 1, wherein the cloud-based platform is configured to receive, store, and analyze data from the electric vehicle energy storage unit, the central control unit, and external sources, further comprising predictive algorithms utilizing historical and real-time data to optimize charging and discharging strategies based on energy demand, battery health, electricity prices, and grid conditions.
Claim 5: The IoT-Based Energy Storage System of claim 1, wherein the dynamic energy management strategy component employs real-time data analysis to determine optimal charging and discharging times and rates, thereby enhancing energy utilization and battery lifespan.
Claim 6: The IoT-Based Energy Storage System of claim 1, wherein the grid integration capability includes participating in demand-response programs, wherein the system releases energy to the power grid during peak demand periods and absorbs surplus energy during low demand periods, thereby contributing to grid stability and efficiency.