WIRELESS-ENABLED SMART ELECTRIC VEHICLE CHARGING AND GRID INTEGRATION SYSTEM USING CC3000 RF TECHNOLOGY

Abstract

A wireless-enabled smart electric vehicle charging and grid integration system using cc3000 rf technology comprises STM32 Processor Board (240), CC3000 RF Module (205), GPS Module (235), Voltage Sensor (230), Current Sensor (225), Bluetooth Module (210), NuttyFi Wifi Module (315), and Rechargeable Battery (220) equipped CRFWE_TCDTMote (200) is used to optimize charging efficiency and improve user convenience by enabling real-time monitoring of electric vehicle (EV) parameters, facilitating wireless communication, and integrating necessary sensors EVs and charging stations can communicate seamlessly thanks to the CRFWE_RCDTMote, which is outfitted with an STM32 Processor Board, CC3000 RF Module, GSM Modem, and Power Supply, this allows for intelligent scheduling of charging schedules and grid integration to maximize power allocation and improve overall efficiency.

Specification

Description:FIELD OF THE INVENTION
This invention relates to wireless-enabled smart electric vehicle charging and grid integration system using cc3000 rf technology.
BACKGROUND OF THE INVENTION
This innovative system facilitates seamless communication and synchronization between electric vehicles (EVs), charging stations, and the central grid expert system. It offers a novel approach to EV charging and grid integration. It enables EVs to communicate vital information to the central system using wireless technology and sensor integration. The central system then adjusts charging schedules based on grid capacity and user preferences. This breakthrough ushers in a new era of intelligent electric vehicle charging and greatly improves grid stability, energy efficiency, and user convenience.
The primary problem that is being addressed is the inefficiency and obstacles that are inherent in traditional electric vehicle (EV) charging systems and how they interact with the electrical grid. As of right now, intelligent scheduling elements are absent from EV charging techniques, which often leads to less-than-ideal charging schedules and excessive strain on the grid during peak hours. Moreover, the absence of real-time monitoring and optimization features makes it difficult to supervise EV charging effectively, which leads to increased energy waste and unstable grid conditions.
US8378623B2: An energy management system (ESMS) includes energy storage devices coupled to a vehicle drivetrain and configured to store DC energy, a power electronic conversion system having energy ports, the power electronic conversion system comprising a DC electrical converters, each DC electrical converter configured to step up and to step down a DC voltage, wherein each of the energy ports is coupleable to each of the energy storage devices and each of the energy ports is coupleable to an electrical charging system. The EV includes a controller configured to determine a voltage of each energy port having either an energy storage device or a DC electrical charging system coupled thereto, and electrically connect a first energy port to a second energy port such that at least one of the DC electrical converters either steps up or steps down an input DC voltage based on the determined voltage of each energy port.
RESEARCH GAP: A Smart wireless solution equipped with CC3000 RF and IoT for Wireless-Enabled Smart Electric Vehicle Charging and Grid Integration is the novelty of the system.
US8502412B2: A charger converts electric power supplied from an AC power supply external to a vehicle into a predetermined charging voltage. A relay is provided between the charger and a power storage device. A charging ECU controls the charger and the relay. An AC/DC converter converts electric power supplied from the AC power supply into a predetermined power supply voltage and supplies the electric power converted into the power supply voltage to a charging device constituted of the charger, the relay and the charging ECU. While the power storage device is charged by the AC power supply, the charging device operates with the operating electric power it receives from the AC/DC converter
RESEARCH GAP: A Smart wireless solution equipped with CC3000 RF and IoT for Wireless-Enabled Smart Electric Vehicle Charging and Grid Integration is the novelty of the system.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
In terms of EV charging technology, the Wireless-Enabled Smart Electric Vehicle Charging and Grid Integration System is a major advancement. Utilizing CC3000 RF technology, this system boosts grid stability, increases user convenience, and increases charging efficiency by fusing sensor data with sophisticated algorithms. It functions by means of a series of well-coordinated interactions between electric cars (EVs), charging stations, and an expert system located in the central grid. Fundamentally, the system intends to introduce intelligent scheduling and grid-aware charging capabilities to revolutionize the traditional EV charging procedure. A CRFWE_TCDTMote device, which serves as a central hub for gathering and transferring crucial data, is installed in every electric vehicle. This device has multiple sensors, including a GPS module for tracking location and voltage and current sensors to monitor battery status. By integrating these sensors, the EV can use the CC3000 RF Module to communicate its location, charging preferences, and state of charge to the central grid expert system on a continual basis. In a similar vein, CRFWE_RCDTMote devices installed in charging stations act as bridges between EVs and the grid expert system. These devices enable smooth communication between EVs and the central system. They also include CC3000 RF Modules.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1: SYSTEM ARCHITECTURE
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein 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 disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms "a"," "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", "third", and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
In terms of EV charging technology, the Wireless-Enabled Smart Electric Vehicle Charging and Grid Integration System is a major advancement. Utilizing CC3000 RF technology, this system boosts grid stability, increases user convenience, and increases charging efficiency by fusing sensor data with sophisticated algorithms. It functions by means of a series of well-coordinated interactions between electric cars (EVs), charging stations, and an expert system located in the central grid. Fundamentally, the system intends to introduce intelligent scheduling and grid-aware charging capabilities to revolutionize the traditional EV charging procedure. A CRFWE_TCDTMote device, which serves as a central hub for gathering and transferring crucial data, is installed in every electric vehicle. This device has multiple sensors, including a GPS module for tracking location and voltage and current sensors to monitor battery status. By integrating these sensors, the EV can use the CC3000 RF Module to communicate its location, charging preferences, and state of charge to the central grid expert system on a continual basis. In a similar vein, CRFWE_RCDTMote devices installed in charging stations act as bridges between EVs and the grid expert system. These devices enable smooth communication between EVs and the central system. They also include CC3000 RF Modules.
The CRFWE_RCDTMote device connects to the EV's CRFWE_TCDTMote device when it gets close to a charging station. This allows vital information about the EV's charging needs and the state of the grid to be shared. For the purpose of guaranteeing grid stability and charging process optimization, the central grid expert system is essential. It is able to make well-informed decisions about power allocation and charging schedules by gathering data from EVs and charging stations. By utilizing advanced algorithms, the system can precisely determine the battery's state of charge without depending on intricate battery models, which expedites the charging procedure and maximizes effectiveness. Furthermore, the system provides many channels for user engagement and control. Through a personalized smartphone app that makes use of the Bluetooth Module built into the CRFWE_TCDTMote device, users may have direct communication with their EVs. Furthermore, by establishing an internet connection with the device using the NuttyFi WiFi Module, customers may oversee and control charging sessions remotely.
BEST METHOD OF WORKING
The STM32 Processor Board, CC3000 RF Module, GPS Module, Voltage Sensor, Current Sensor, Bluetooth Module, NuttyFi Wifi Module, and Rechargeable Battery equipped CRFWE_TCDTMote is used to optimize charging efficiency and improve user convenience by enabling real-time monitoring of electric vehicle (EV) parameters, facilitating wireless communication, and integrating necessary sensors.
EVs and charging stations can communicate seamlessly thanks to the CRFWE_RCDTMote, which is outfitted with an STM32 Processor Board, CC3000 RF Module, GSM Modem, and Power Supply. This allows for intelligent scheduling of charging schedules and grid integration to maximize power allocation and improve overall efficiency.
The two motes' CC3000 RF Modules allow real-time data exchange for intelligent charging scheduling, grid integration, and effective management of the electric vehicle charging process. They also facilitate wireless communication between electric vehicles, charging stations, and the central grid expert system.
Critical location tracking information for electric vehicles is provided by the GPS Module built into the CRFWE_TCDTMote. This information allows for precise tracking of the vehicles' presence and the optimization of charging strategies depending on user preferences and geographic proximity.
The CRFWE_TCDTMote is connected to the Voltage Sensor and Current Sensor, which are used to detect battery voltage and current, respectively. These sensors provide vital information for tracking the status of charge and streamlining the charging process for electric vehicles within the invention.
To improve user comfort and enable real-time monitoring and management within the invention, the NuttyFi WiFi Module embedded into the CRFWE_TCDTMote is utilized to enable internet connectivity, allowing remote access and control of the electric vehicle charging process.
To enable contact with the central grid expert system, allow remote monitoring and management of charging stations, and guarantee smooth coordination of charging schedules and grid integration within the innovation, the CRFWE_RCDTMote is equipped with a GSM modem interface.
ADVANTAGES OF THE INVENTION
1. A key component of the innovation is the CRFWE_TCDTMote, which integrates essential sensors, allows wireless communication, and permits real-time monitoring of electric vehicle (EV) characteristics. This enhancement improves user comfort and charging efficiency.
2. The innovation's key component, the CRFWE_RCDTMote, enables smooth communication between EVs and charging stations. This makes it possible to intelligently coordinate grid integration and charging schedules, optimizing power distribution and raising overall efficiency.
3. Wireless communication between electric vehicles, charging stations, and the central grid expert system is made feasible by utilizing the CC3000 RF Module. This enables intelligent charging scheduling, grid integration, and effective control of the electric car charging process by facilitating real-time data sharing.
4. The GPS Module gives electric cars the location tracking information they need to be accurately tracked. Optimal charging techniques based on user preferences and geographic proximity are made possible by this data.
5. Battery voltage and current are measured, respectively, using the Voltage Sensor and Current Sensor. For electric vehicles in the future, this data is crucial for tracking the level of charge and streamlining the charging procedure.
6. The NuttyFi WiFi Module provides internet access, allowing for remote access and management of the charging procedure for electric vehicles. This feature makes the innovation easier to use and makes real-time monitoring and management easier.
, Claims:1. A wireless-enabled smart electric vehicle charging and grid integration system using cc3000 rf technology comprises STM32 Processor Board (240), CC3000 RF Module (205), GPS Module (235), Voltage Sensor (230), Current Sensor (225), Bluetooth Module (210), NuttyFi Wifi Module (315), and Rechargeable Battery (220) equipped CRFWE_TCDTMote (200) is used to optimize charging efficiency and improve user convenience by enabling real-time monitoring of electric vehicle (EV) parameters, facilitating wireless communication, and integrating necessary sensors.
2. The system as claimed in claim 1, wherein EVs and charging stations can communicate seamlessly thanks to the CRFWE_RCDTMote, which is outfitted with an STM32 Processor Board, CC3000 RF Module, GSM Modem, and Power Supply, this allows for intelligent scheduling of charging schedules and grid integration to maximize power allocation and improve overall efficiency.
3. The system as claimed in claim 1, wherein the two motes' CC3000 RF Modules allow real-time data exchange for intelligent charging scheduling, grid integration, and effective management of the electric vehicle charging process, they also facilitate wireless communication between electric vehicles, charging stations, and the central grid expert system.
4. The system as claimed in claim 1, wherein critical location tracking information for electric vehicles is provided by the GPS Module built into the CRFWE_TCDTMote, this information allows for precise tracking of the vehicles' presence and the optimization of charging strategies depending on user preferences and geographic proximity.
5. The system as claimed in claim 1, wherein the CRFWE_TCDTMote is connected to the Voltage Sensor and Current Sensor, which are used to detect battery voltage and current, respectively, these sensors provide vital information for tracking the status of charge and streamlining the charging process for electric vehicles within the invention.
6. The system as claimed in claim 1, wherein to improve user comfort and enable real-time monitoring and management within the invention, the NuttyFi WiFi Module embedded into the CRFWE_TCDTMote is utilized to enable internet connectivity, allowing remote access and control of the electric vehicle charging process.
7. The system as claimed in claim 1, wherein to enable contact with the central grid expert system, allow remote monitoring and management of charging stations, and guarantee smooth coordination of charging schedules and grid integration within the innovation, the CRFWE_RCDTMote is equipped with a GSM modem interface.

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