SYSTEM AND METHOD FOR MONITORING PHOTOVOLTAIC-POWERED VEHICLES

Abstract

The present disclosure provides a system (108) and a method (300) for monitoring a photovoltaic-powered vehicle (102) in real time. The method (300) includes receiving (302) data from one or more sensors (104-1-104-n) associated with the photovoltaic-powered vehicle (102). The method (300) includes determining (304) that one or more parameters associated with the photovoltaic-powered vehicle (102) exceed a predefined range based on the received data. Furthermore, the method (300) includes transmitting (306) control signals to the photovoltaic-powered vehicle (102) in real time based on the determination. The system (108) and the method (300) enable continuous monitoring and immediate response to ensure optimal performance, efficiency, and safety of the photovoltaic-powered vehicle (102) during operation.

Specification

Description:TECHNICAL FIELD
[0001] The present disclosure relates to the field of electric vehicle monitoring systems, and more particularly to a system and a method for wireless parameter monitoring of photovoltaic-powered vehicles.

BACKGROUND
[0002] In recent years, the global focus has shifted towards sustainability and creating an eco-friendly environment. The shift has led to an increased integration of renewable energy sources such as photovoltaic, wind, and hydropower, into various aspects of daily life. Energy storage and conversion devices, including batteries and converters, play a crucial role in the generation and storage of electricity from these renewable sources.
[0003] Photovoltaic-Powered Electric Vehicles (PPEVs) have emerged as a promising technology in the pursuit of emission-free mobility. These vehicles combine the benefits of electric propulsion with on-board photovoltaic energy generation, offering a potential solution to reduce reliance on fossil fuels and decrease carbon emissions in the transportation sector.
[0004] The performance and longevity of PPEVs depend heavily on the efficient operation and maintenance of key components, particularly the battery systems. Lithium-ion batteries, commonly used in electric vehicles, require careful monitoring and regulation of parameters such as State of Charge (SOC) and temperature to optimize the efficiency and lifespan of the battery.
[0005] Real-time monitoring of various parameters is essential for ensuring the optimal performance and longevity of the PPEVs. The parameters include tracking battery status, vehicle temperature, energy generation from photovoltaic panels, and overall system efficiency. However, existing monitoring solutions for electric vehicles often face limitations in providing comprehensive, real-time data accessible to operators, maintenance personnel, and regulatory authorities.
[0006] Current monitoring systems lack the ability to transmit data remotely, limiting access to critical information when the vehicle is in operation. Additionally, many existing solutions do not provide integrated monitoring of both the photovoltaic energy generation system and the vehicle's electrical components, potentially missing important interactions between these systems.
[0007] Furthermore, the dynamic nature of the PPEVs, with the ability to generate and store energy while in motion, presents unique challenges for monitoring systems. Traditional monitoring approaches do not adequately capture the complexities of energy flow and usage in these vehicles, potentially leading to suboptimal performance and reduced efficiency.
[0008] As the adoption of the PPEVs continues to grow, there is an increasing need for advanced monitoring solutions that may address these limitations and provide comprehensive, real-time insights into vehicle performance and health.

OBJECTS OF THE PRESENT DISCLOSURE
[0009] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are listed herein below.
[0010] An object of the present disclosure provides a comprehensive wireless parameter monitoring system for photovoltaic-powered vehicles that enables real-time data collection, processing, and remote transmission of critical vehicle performance metrics.
[0011] Another object of the present disclosure is to improve the efficiency, performance, and longevity of photovoltaic-powered vehicles through continuous monitoring and analysis of key operational parameters.
[0012] Yet another object of the present disclosure is to enable remote access to critical vehicle information for operators, maintenance personnel, and regulatory authorities, regardless of the vehicle's location.
[0013] Yet another object of the present disclosure is to facilitate early detection of potential issues or threats to vehicle performance, thereby reducing downtime and maintenance costs.
[0014] Yet another object of the present disclosure is to optimize maintenance schedule and improve overall fleet management of photovoltaic-powered vehicles through data-driven insights.
[0015] Yet another object of the present disclosure is to enhance the development of smart transportation systems by providing a robust, real-time monitoring solution specifically designed for renewable energy-powered vehicles.

SUMMARY
[0016] Aspects of the present disclosure relate to monitoring systems for Photovoltaic-Powered Electric Vehicles (PPEVs). In particular, the present disclosure provides a system and a method for real-time monitoring and control of PPEVs, including tracking and analyzing various parameters such as battery status, vehicle temperature, energy generation from photovoltaic panels, and overall system efficiency.
[0017] An aspect of the present disclosure pertains to a system for monitoring a photovoltaic-powered vehicle in real time. The system includes one or more processors, and a memory operatively coupled to the processor, and the memory includes one or more processor-executable instructions, which, when executed by the processor, cause the one or more processors to receive data from one or more sensors associated with the photovoltaic-powered vehicle. Further, the one or more processors are configured to determine that one or more parameters associated with the photovoltaic-powered vehicle exceed a predefined range based on the received data and transmit control signals to the photovoltaic-powered vehicle in real time based on the determination.
[0018] In an embodiment, the one or more parameters may include at least one of, a State of Charge (SOC) of a battery associated with the photovoltaic-powered vehicle, a temperature value of the battery, a voltage range of the battery, a current range of the battery, a speed of the photovoltaic-powered vehicle, a location of the photovoltaic-powered vehicle, an energy consumption rate of the photovoltaic-powered vehicle, and a temperature value of the photovoltaic-powered vehicle.
[0019] In an embodiment, the one or more parameters may be received from the photovoltaic-powered vehicle in a predefined time interval.
[0020] In an embodiment, the control signals may be transmitted to a control unit of one or more peripherals associated with the photovoltaic-powered vehicle. In an embodiment, the control signals may include at least one of, instructions to control the one or more peripherals and displaying an alert signal on a display unit associated with the photovoltaic-powered vehicle.
[0021] In an embodiment, the control signals may be transmitted to a user device associated with the photovoltaic-powered vehicle.
[0022] Another aspect of the present disclosure pertains to a method for monitoring a photovoltaic-powered vehicle in real-time. The method includes receiving, by one or more processors, data from one or more sensors associated with the photovoltaic-powered vehicle. The method further includes determining, by the one or more processors, that one or more parameters associated with the photovoltaic-powered vehicle exceeds a predefined range based on the received data. Furthermore, the method includes transmitting, by the one or more processors, control signals to the photovoltaic-powered vehicle in real-time based on the determination.
[0023] In an embodiment, the one or more parameters may include at least one of, a SOC of a battery associated with the photovoltaic-powered vehicle, a temperature value of the battery, a voltage range of the battery, a current range of the battery, a speed of the photovoltaic-powered vehicle, a location of the photovoltaic-powered vehicle, an energy consumption rate of the photovoltaic-powered vehicle, and a temperature value of the photovoltaic-powered vehicle.
[0024] In an embodiment, the one or more parameters may be received from the photovoltaic-powered vehicle in a predefined time interval.
[0025] In an embodiment, the control signals may be transmitted to a control unit of one or more peripherals associated with the photovoltaic-powered vehicle. In an embodiment, the control signals may include at least one of, instructions to control the one or more peripherals and displaying an alert signal on a display unit associated with the photovoltaic-powered vehicle.
[0026] 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 DRAWINGS
[0027] The accompanying drawings, which are incorporated herein and constitute a part of this disclosure, illustrate exemplary embodiments of the disclosed methods and systems, where like reference numerals refer to the same parts/components throughout the different drawings. Components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure. Some drawings may indicate the components using block diagrams and may not represent the internal circuitry of each component. It will be appreciated by those skilled in the art that disclosure of such drawings includes the disclosure of electrical components, electronic components, or circuitry commonly used to implement such components.
[0028] FIG. 1 illustrates an example representation of monitoring a photovoltaic-powered vehicle in real-time, in accordance with embodiments of the present disclosure.
[0029] FIG. 2 illustrates a block diagram of an example system for monitoring the photovoltaic-powered vehicle in real-time, in accordance with embodiments of the present disclosure.
[0030] FIG. 3 illustrates a flow diagram of an example method for monitoring the photovoltaic-powered vehicle in real-time, in accordance with an embodiment of the present disclosure.
[0031] The foregoing shall be more apparent from the following more detailed description of the disclosure.

DETAILED DESCRIPTION
[0032] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such details as to clearly communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosures as defined by the appended claims.
[0033] Embodiments explained herein relate to the field of electric vehicle monitoring systems. The present disclosure provides a system and a method for monitoring a photovoltaic-powered vehicle in real time.
[0034] In an aspect, the system for monitoring the photovoltaic-powered vehicle in real-time receives data from one or more sensors associated with the photovoltaic-powered vehicle. The system further determines that one or more parameters associated with the photovoltaic-powered vehicle exceed a predefined range based on the received data. Furthermore, the system transmits control signals to the photovoltaic-powered vehicle in real-time based on the determination.
[0035] The various embodiments throughout the disclosure will be explained in more detail with reference to FIGs. 1-3.
[0036] FIG. 1 illustrates an example representation 100 for monitoring a photovoltaic-powered vehicle, such as a photovoltaic-powered vehicle 102, in real-time, in accordance with embodiments of the present disclosure. In some embodiments, the photovoltaic-powered vehicle 102 may be a two-wheeler, four-wheeler, or any other type of vehicle powered by photovoltaic energy. In an example, the photovoltaic-powered vehicle 102 may include, but are not limited to, various configurations such as motorcycles, scooters, cars, buses, or trucks, all equipped with photovoltaic panels for energy generation. These vehicles may incorporate different numbers of wheels and diverse designs, but the vehicles can share the common feature of utilizing photovoltaic power as their primary or supplementary energy source. The photovoltaic panels may be integrated into various parts of the photovoltaic-powered vehicle 102, such as roof, hood, or body panels, depending on the specific design and energy requirements of the type of the photovoltaic-powered vehicle 102. In an example these panels may be understood as devices that convert light energy, primarily from the sun, into electrical energy through the photovoltaic effect. The photovoltaic panels generally consist of multiple photovoltaic cells made from semiconductor materials, most commonly silicon.
[0037] In some embodiments, the photovoltaic-powered vehicle 102 may include one or more batteries that may get charged through photovoltaic energy captured by the photovoltaic panels integrated into the structure of the photovoltaic-powered vehicle 102. In an example, these batteries may include, but are not limited to, lithium-ion batteries, lithium-polymer batteries, nickel-metal hydride batteries, or any other suitable energy storage devices capable of efficiently storing and delivering electrical energy for propulsion of the photovoltaic-powered vehicle 102. These batteries may be designed to handle charging and discharging patterns associated with photovoltaic-powered vehicles, such as the photovoltaic-powered vehicle 102, including the ability to efficiently store energy generated from onboard photovoltaic panels while the photovoltaic-powered vehicle 102 is in motion or stationery.
[0038] In an embodiment, the photovoltaic-powered vehicle 102 may include one or more sensors (104-1, - 104-N) that may be configured to capture one or more parameters associated with the photovoltaic-powered vehicle 102, or components thereof. In an example, the parameters to be captured by the one or more sensors 104-1 - 104-N such as, but are not limited to, State of Charge (SOC) of a battery associated with the photovoltaic-powered vehicle 102, a temperature value of the battery, a voltage range of the battery, a current range of the battery, a speed of the photovoltaic-powered vehicle, a location of the photovoltaic-powered vehicle, an energy consumption rate of the photovoltaic-powered vehicle, and a temperature value of the photovoltaic-powered vehicle.
[0039] In an embodiment, the parameters corresponding to the photovoltaic-powered vehicle 102 or its components, captured by the one or more sensors 104-1 - 104-N, may be transmitted in real-time to a system 108 configured for monitoring parameters of the photovoltaic-powered vehicle102, for example, via a communication network 106. In an embodiment, the system 108 may be communicatively coupled to each of the one or more sensors 104-1 - 104-N either directly or via an Electronic Control Unit (ECU) of the photovoltaic-powered vehicle 102 to collect data corresponding to the parameters of the PPV 102 or its components.
[0040] In some embodiments, data related to the parameters of the photovoltaic-powered vehicle 102 or components within the photovoltaic-powered vehicle 102, as captured by one or more sensors 104-1 - 104-N, may be broadcasted to the system 108 over the communication network 106. Such data transmission may occur whenever the photovoltaic-powered vehicle 102 is connected to the communication network 106. Whenever the photovoltaic-powered vehicle 102 is connected to the communication network 106. The connection may occur in various scenarios, such as when the photovoltaic-powered vehicle 102 is within range of a cellular network, connected to a Wireless Fertility (Wi-Fi) hotspot, or linked to any other compatible wired/wireless network, such as Bluetooth. A control system of the photovoltaic-powered vehicle 102, such as an ECU of the photovoltaic-powered vehicle 102, may be designed to automatically initiate data transmission when a network connection is established, ensuring that the data corresponding to the parameters of the photovoltaic-powered vehicle 102 or its components is transmitted to the system 108 in real-time.
[0041] In some embodiments, the system 108 may be implemented as a cloud-based server, a distributed server system, or a dedicated physical server, capable of processing and storing large amounts of data received from the sensors 104-1 - 104-N. The system 108 may include one or more processors 202, memory 204, and storage devices configured to perform early detection of potential issues within the photovoltaic-powered vehicle 102 based on the data from the sensors 104-1 - 104-N and take preventive actions.
[0042] In an embodiment, the system 108 may be maintained by the manufacturer of the photovoltaic-powered vehicle 102, allowing for direct access to vehicle-specific data and the ability to provide manufacturer-authorized updates and diagnostics. In some embodiments, the system 108 may be a part of an on-board computer system of the photovoltaic-powered vehicle 102, integrated into the existing ECU of the photovoltaic-powered vehicle 102, or implemented as a standalone module in the photovoltaic-powered vehicle 102. The system 108 may be connected to the sensors (104-1 - 104-N) through a wired interface such as Universal Serial Bus (USB), High-Definition Multimedia Interface (HDMI), or a proprietary automotive connection, or wirelessly using technologies like Wireless Fidelity (Wi-Fi), Bluetooth, or cellular networks.
[0043] In some embodiments, the communication network 106 may include, but is not limited to, cellular networks (e.g., 4th Generation (4G), 5th Generation (5G)), Wi-Fi networks, satellite networks, or any other suitable wireless or wired network infrastructure that enables secure and reliable data transmission between the sensors 104-1 - 104-N of the photovoltaic-powered vehicle 102 and the system 108.
[0044] Thus, by transmitting the data corresponding to the parameters of the photovoltaic-powered vehicle 102 or the components thereof to the system 108, it may be ensured that the real-time monitoring of critical parameters of the photovoltaic-powered vehicle 102 is achieved, allowing for immediate detection of potential issues or anomalies.
[0045] While embodiments of the present disclosure are described in the context of the system 108 being configured to monitor parameters of the photovoltaic-powered vehicle 102, it may be appreciated by those skilled in the art that the system 108 may be suitably adapted to control various safety features of the photovoltaic-powered vehicle 102 by detecting environmental conditions or changes within the photovoltaic-powered vehicle 102. Further, throughout the specification, references to "parameters" may include battery status, vehicle temperature, energy generation from solar panels, overall system efficiency, SOC, and other relevant data points that affect the performance and longevity of the PPV 102.
[0046] FIG. 2 illustrates a block diagram of an example system for monitoring the photovoltaic-powered vehicle in real-time, in accordance with embodiments of the present disclosure.
[0047] Referring to block diagram 200 of FIG. 2, the system 108 may include one or more processor(s) 202. The one or more processor(s) 202 may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, logic circuitries, and/or any devices that manipulate data based on operational instructions. Among other capabilities, the one or more processor(s) 202 may be configured to fetch and execute computer-readable instructions stored in a memory 204. The memory 204 may store one or more computer-readable instructions or routines, which may be fetched and executed to create or share the data units using communication means such as wireless transmitters, network interfaces, or other communication hardware. The memory 204 may include any non-transitory storage device including, for example, volatile memory such as Random Access Memory (RAM), or non-volatile memory such as an Erasable Programmable Read-Only Memory (EPROM), flash memory, and the like.
[0048] In an embodiment, the system 108 may also include an interface(s) 206. The interface(s) 206 may include a variety of interfaces, for example, interfaces for data input and output devices, referred to as I/O devices, storage devices, and the like. The interface(s) 206 may also provide a communication pathway for one or more components of the system 108. Examples of such components include, but are not limited to, processing engine(s) 208 and database 218. In some embodiments, the database 218 may store therein data generated or received by the system 108. For example, the database 218 may be configured to store data related to the parameters of the photovoltaic-powered vehicle 102, including the SOC of the battery associated with the photovoltaic-powered vehicle 102, the temperature value of the battery, the voltage range of the battery, the current range of the battery, the speed of the photovoltaic-powered vehicle 102, a location of the photovoltaic-powered vehicle 102, an energy consumption rate of the photovoltaic-powered vehicle 102, the temperature value of the photovoltaic-powered vehicle 102, and the like.
[0049] In an embodiment, the processing engine(s) 208 may be implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the processing engine(s) 208. In examples described herein, such combinations of hardware and programming may be implemented in several different ways. For example, the programming for the processing engine(s) 208 may be processor-executable instructions stored on a non-transitory machine-readable storage medium and the hardware for the processing engine(s) 208 may include a processing resource (for example, one or more processors), to execute such instructions. In other embodiments, the processing engine(s) 208 may be implemented by electronic circuitry. The database 218 may include data that is either stored or generated as a result of functionalities implemented by any of the components of the processing engine(s) 208.
[0050] In some embodiments, the processing engine(s) 208 may include a communication engine 210, a determination engine 212, a transmission engine 214, and other engine(s) 216. The other engine(s) 216 may implement functionalities that supplement applications/functions performed by the system 108. In some embodiments, the other engines 216 may also include a data analysis engine, an energy optimization engine, a predictive maintenance engine, a solar panel efficiency engine, a battery management engine, a thermal regulation engine, a performance tracking engine, an environmental impact assessment engine, a route optimization engine, a regulatory compliance engine, and the like, that may work in conjunction to process and analyze the comprehensive data collected from the photovoltaic-powered vehicle 102, enabling real-time monitoring, performance optimization, and proactive maintenance of the components of the photovoltaic-powered vehicle 102.
[0051] In some embodiments, the communication engine 210 may be configured to collect, for example, over the communication network 106, the data corresponding to the parameters of the photovoltaic-powered vehicle 102, or the components thereof, captured by the sensors 104-1 - 104-N of the photovoltaic-powered vehicle 102. In an example, the parameters corresponding to the photovoltaic-powered vehicle 102, and the components thereof, may be received from the photovoltaic-powered vehicle 102 in a predefined time interval. For example, the communication engine 210 may collect data every 5 minutes from various sensors, including battery management system sensors monitoring SOC of the battery, temperature, and voltage of the batteries installed in the photovoltaic-powered vehicle 102. The photovoltaic-powered vehicle 102 temperature sensors monitor the overall thermal conditions, Global Positioning System (GPS) sensors provide location and speed data. This frequent data collection allows for real-time monitoring and analysis of the performance of PPV 102, enabling quick detection of any anomalies or potential issues in the operation of the PPV 102.
[0052] In some embodiments, the determination engine 212 may be configured to analyse the collected data from the photovoltaic-powered vehicle 102 and determine various operational characteristics and performance metrics. For example, the determination engine 212 may calculate the overall energy efficiency of the photovoltaic-powered vehicle 102 by comparing solar energy generation with battery consumption and vehicle performance and determine the State of Health (SOH) of the battery system based on charging/discharging patterns, temperature fluctuations, and voltage characteristics, assess the efficiency of the solar panels by analysing energy generation data in relation to environmental conditions and time of day. The determination engine 212 may further identify potential maintenance needs by detecting anomalies or deviations from expected performance parameters. Furthermore, the determination engine 212 may evaluate the thermal management system's effectiveness in maintaining optimal operating temperatures for various components. Determine the range of PPV 102 and performance capabilities based on current battery status, solar conditions, and historical usage patterns.
[0053] In some embodiments, the transmission engine 214 may be configured to transmit the analyzed data and performance metrics generated by the determination engine 212 to various stakeholders and systems. The transmission engine 214 may be configured to transmit control signals to the photovoltaic- powered vehicle 102 in real time, based on determinations made by the determination engine 212. Control signals may be sent to a control unit associated with one or more peripherals of the photovoltaic- powered vehicle 102 and may include instructions to manage specific operations, such as speed, power consumption, or environmental settings, enhancing performance according to real-time conditions. Control signals may also include commands to display alerts on a vehicle display unit, providing critical updates such as low battery levels, malfunctions, or maintenance requirements. In addition, transmission capabilities may extend to a user device connected to the vehicle, delivering real-time metrics, alerts, and operational insights through a mobile application or dashboard interface. The processors 202 may also handle the transmission of operational updates to the vehicle's control unit, offering system diagnostics, software updates, and performance adjustments to ensure the photovoltaic- powered vehicle 102 operates safely, efficiently, and with minimal downtime.
[0054] In some embodiments, the other engine 216 may be configured to perform additional specialized functions that complement the overall monitoring and management system of the photovoltaic-powered vehicle 102. For example, the other engine 216 may be responsible for predictive maintenance scheduling, utilizing the analyzed data from the determination engine 212 to forecast when specific components of the photovoltaic-powered vehicle 102 may require servicing or replacement. The other engine 216 may also implement advanced optimization techniques to suggest the most efficient routes for the photovoltaic-powered vehicle 102 based on current solar conditions, battery status, and destination information. The other engine 216 may be configured to integrate with external systems such as smart grid networks or charging station databases, enabling seamless interaction between the photovoltaic-powered vehicle 102 and the broader transportation infrastructure.
[0055] FIG. 3 illustrates a flow diagram illustrating an example method for monitoring the photovoltaic-powered vehicle 102 in real-time, in accordance with an embodiment of the present disclosure.
[0056] Referring to FIG. 3, at step 302, the method 300 may include receiving, by one or more processors 202, data from one or more sensors associated with the photovoltaic- powered vehicle 102. For example, the one or more processors 202 may receive data from a current sensor indicating a current draw of 15.2 amperes, a voltage sensor showing a battery voltage of 48.6 volts, and a temperature sensor measuring a battery temperature of 35°C.
[0057] At step 304, the method 300 may include determining, by the one or more processors, that one or more parameters associated with the photovoltaic-powered vehicle 102 exceeds a predefined range based on the received data. For example, the one or more parameters include at least one of: a State of Charge of a battery associated with the photovoltaic-powered vehicle 102, a temperature value of the battery, a voltage range of the battery, a current range of the battery, a speed of the photovoltaic-powered vehicle 102, a location of the photovoltaic-powered vehicle 102, an energy consumption rate of the photovoltaic-powered vehicle 102, and a temperature value of the photovoltaic-powered vehicle102.
[0058] At step 306, the method 300 may include transmitting, by the one or more processors 202, control signals to the photovoltaic-powered vehicle 102 in real-time based on the determination. For example, if the battery temperature is determined to be too high, the one or more processor 202 may transmit a control signal to activate additional cooling systems or reduce power consumption. In the case of low battery voltage, the control signal may initiate a power-saving mode, limiting non-essential functions, or reroute the photovoltaic-powered vehicle 102to the nearest charging station. These real-time control signals help maintain optimal performance and safety of the photovoltaic-powered vehicle 102.

ADVANTAGES OF THE PRESENT DISCLOSURE
[0059] The present disclosure provides an efficient and real-time wireless monitoring system for photovoltaic-powered vehicles, allowing for continuous observation of critical vehicle parameters, such as battery levels and energy consumption, without the need for manual checks.
[0060] The present disclosure enhances vehicle performance management by providing actionable insights based on sensor data. This allows for dynamic adjustments to vehicle operations, such as speed reduction or system deactivation, which may help conserve energy and extend driving range.
[0061] The present disclosure improves fleet management by transmitting real-time data to a remote monitoring station. Fleet operators may receive timely alerts about vehicle conditions, such as low battery levels, enabling better decision-making, like directing vehicles to nearby charging stations when needed.
[0062] The present disclosure ensures secure and reliable data communication between the vehicle and the remote monitoring station. The system may protect sensitive information, such as vehicle location and performance metrics, from unauthorized access.
[0063] The present disclosure further enhances vehicle diagnostics by continuously monitoring vehicle systems for potential hardware or software malfunctions. Any detected anomalies may be logged for future maintenance, reducing downtime and improving vehicle longevity.
[0064] The present disclosure offers scalability for different types of vehicles, enabling customization of the monitoring and control systems based on the specific needs of photovoltaic-powered or other electric vehicles, making it adaptable across various applications in the industry.

, Claims:1. A system (108) for monitoring a photovoltaic-powered vehicle (102) in real-time, comprising:
one or more processors (202); and
a memory (204) operatively coupled to the one or more processors (202), wherein the memory (204) comprises one or more instructions that, when executed, cause the one or more processors (202) to:
receive data from one or more sensors (104-1-104-n) associated with the photovoltaic-powered vehicle (102);
determine that one or more parameters associated with the photovoltaic-powered vehicle (102) exceed a predefined range based on the received data; and
transmit control signals to the photovoltaic-powered vehicle (102) in real time based on the determination.
2. The system (108) as claimed in claim 1, wherein the one or more parameters comprise: a State of Charge (SOC) of a battery associated with the photovoltaic-powered vehicle (102), a temperature value of the battery, a voltage range of the battery, a current range of the battery, a speed of the photovoltaic-powered vehicle (102), a location of the photovoltaic-powered vehicle (102), an energy consumption rate of the photovoltaic-powered vehicle (102), and a temperature value of the photovoltaic-powered vehicle (102).
3. The system (108) as claimed in claim 1, wherein the one or more parameters are received from the photovoltaic-powered vehicle (102) in a predefined time interval.
4. The system (108) as claimed in claim 1, wherein the control signals are transmitted to a control unit of one or more peripherals associated with the photovoltaic-powered vehicle (102), and wherein the control signals comprise at least one of: instructions to control the one or more peripherals and display an alert signal on a display unit associated with the photovoltaic-powered vehicle (102).
5. The system (108) as claimed in claim 1, wherein the control signals are transmitted to a user device associated with the photovoltaic-powered vehicle (102).
6. A method (300) for monitoring a photovoltaic-powered vehicle (102) in real-time, comprising:
receiving (302), by one or more processors (202), data from one or more sensors (104-1-104-n) associated with the photovoltaic-powered vehicle (102);
determining (304), by the one or more processors (202), that one or more parameters associated with the photovoltaic-powered vehicle (102) exceed a predefined range based on the received data; and
transmitting (306), by the one or more processors (202), control signals to the photovoltaic-powered vehicle (102) in real-time based on the determination.
7. The method (300) as claimed in claim 6, wherein the one or more parameters comprise: a State of Charge (SOC) of a battery associated with the photovoltaic-powered vehicle (102), a temperature value of the battery, a voltage range of the battery, a current range of the battery, a speed of the photovoltaic-powered vehicle (102), a location of the photovoltaic-powered vehicle (102), an energy consumption rate of the photovoltaic-powered vehicle (102), and a temperature value of the photovoltaic-powered vehicle (102).
8. The method (300) as claimed in claim 6, wherein the one or more parameters are received from the photovoltaic-powered vehicle (102) in a predefined time interval.
9. The method (300) as claimed in claim 6, wherein the control signals are transmitted to a control unit of one or more peripherals associated with the photovoltaic-powered vehicle (102), and wherein the control signals comprise at least one of: instructions to control the one or more peripherals and display an alert signal on a display unit associated with the photovoltaic-powered vehicle (102).

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