DESC:SYSTEM AND METHOD FOR CHARGIING ELECTRIC VEHICLE AND COMPUTING COST ASSOCIATED WITH CHARGING EVENT
CROSS REFERENCE TO RELATED APPLICTIONS
The present application claims priority from Indian Provisional Patent Application No. 202221036924 filed on 28/06/2022, the entirety of which is incorporated herein by a reference.
TECHNICAL FIELD
The present disclosure generally relates to a system and method for charging a battery pack of an electric vehicle. Particularly, the present disclosure relates to a system for charging a battery pack of an electric vehicle and computing cost associated with a charging event. Furthermore, the present disclosure relates to a method for charging a battery pack of an electric vehicle and computing cost associated with a charging event.
BACKGROUND
Recently, there have been a rapid development in electric vehicles because of their ability to resolve pollution related problems and serve as a clean mode of transportation. Generally, electric vehicles include a battery pack, powerpack and/or combination of electric cells for storing electricity required for propulsion of the vehicles. The electrical power required for charging the battery pack of the electric vehicle may be given by an on-board charger included in the vehicle or by connecting the battery pack of the electric vehicle to an external charger available at charging stations.
As known in the art, the battery technology has evolved in the recent past. In the recent past some battery technologies have been established as reliable source of power for electric vehicles such as Lithium-ion batteries due to their energy density and weight characteristics. Furthermore, some of the newer technologies are under development such as solid-state batteries and zinc-air batteries. However, the range of the electric vehicle is limited due to the battery capacity constraints. There exists a need for regular charging of the battery pack of the electric vehicle, to keep the vehicle in operation.
With the development of DC fast charging, the charging speeds of electric vehicles have been drastically improved. DC fast charging is the fastest method of charging an electric vehicle and is typically used for long-distance travel. DC fast chargers use a direct current (DC) to charge the battery, which is faster than using an alternating current (AC). DC fast charging can provide a charge up to 350 kW, which can charge a vehicle to 80% in 20-30 minutes, depending on the characteristics of the battery.
However, DC fast chargers require significant infrastructure, including high-capacity electrical lines and transformers. Such infrastructure is expensive to install and maintain, especially in remote or rural areas. Furthermore, the biggest limitation with the DC fast chargers is the availability of the charging stations. As the number of installed DC fast chargers is limited, the availability of DC fast chargers open for service is even more limited due to maintenance and other outages. Such limited availability increases congestion on the DC charging network and affects the availability of the charger at the required time. In other words, it is highly likely that the DC fast charger is occupied by another vehicle at the required time.
As the ownership of the electric vehicle increases, the number of domestic AC or DC chargers (privately owned by the electric vehicle owners) would increase. Such chargers are potential substitute in case of non-availability of DC fast chargers. However, the electric vehicle users are reluctant to charge their electric vehicles at privately owned AC or DC chargers, as it is difficult to determine the amount of electrical energy consumed by the battery pack during the charging event. Generally, the privately owned AC or DC chargers does not have required components to determine the power supplied from the outlet at a specific instance. Further, the cost of per unit of electrical energy consumed by the battery pack may vary at different locations and depend upon different parameters. Therefore, the electric vehicle user is always hesitant to use privately owned AC or DC chargers for charging the battery pack, during a journey. Furthermore, due to the such limitation, the owners of such privately owned AC or DC chargers are reluctant to provide charging to electric vehicle users, as it is not possible to determine the power consumed during the specific charging event. Moreover, it is difficult to determine whether the vehicle being charged is a personal mobility electric vehicle or a commercial electric vehicle. Such difficulty in determining vehicle type result in improper billing and cost allocation, improper load management, and regulatory in-compliance such as commercial use of electricity meant for domestic use.
Therefore, there exists a need of system and method for charging an electric vehicle that overcomes the one or more problems associated as set forth above.
SUMMARY
An object of the present disclosure is to provide a system for charging a battery pack of an electric vehicle from a privately owned electric vehicle charger and computing cost associated with a charging event.
Another object of the present disclosure is to provide a method for charging a battery pack of an electric vehicle from a privately owned electric vehicle charger and computing cost associated with a charging event.
Yet another object of the present disclosure is to provide a computer program product comprising a non-transitory computer-readable storage medium having computer-readable instructions stored thereon, being executable by a computerized device comprising processing hardware to execute method for charging a battery pack of an electric vehicle from a privately owned electric vehicle charger and computing cost associated with a charging event.
In accordance with first aspect of the present disclosure, there is provided a system for charging a battery pack of an electric vehicle and computing cost associated with a charging event. The system comprises a sensor arrangement and a data processing arrangement. The sensor arrangement is configured to detect a type of electric vehicle. The data processing arrangement configured to receive at least one charging event parameter, determine an amount of electrical energy consumed by the battery pack of the electric vehicle during the charging event, and compute a cost associated with the charging event based on power-grid parameters, the at least one charging event parameter and the amount of electrical energy consumed.
The system, as disclosed in the present disclosure, is advantageous in terms of accurately determining the amount of power consumed during the charging event of the electric vehicle. Furthermore, the system of the present disclosure is advantageous in terms of providing cost associated with the charging event of the electric vehicle. Furthermore, the system of the present disclosure enables the calculation of cost associated with the charging event in a real-time manner. Furthermore, the system of the present disclosure enables the electric vehicle owner to charge the electric vehicle at any privately owned AC or DC charger. Furthermore, the system of the present disclosure enables the identification whether the electric vehicle being charged is a personal mobility vehicle or a commercial vehicle which would in turn result in better billing and cost allocation, load management, and regulatory compliance.
In accordance with second aspect of the present disclosure, there is provided a method for charging a battery pack of an electric vehicle and computing cost associated with a charging event. The method comprises steps of detecting a type of electric vehicle, receiving at least one charging event parameter, determining an amount of electrical energy consumed by the battery pack of the electric vehicle during the charging event, and computing a cost associated with the charging event based on power-grid parameters, the at least one charging event parameter and the amount of electrical energy consumed.
In accordance with third aspect of the present disclosure, there is provided a computer program product comprising a non-transitory computer-readable storage medium having computer-readable instructions stored thereon, being executable by a computerized device comprising processing hardware to execute method, as disclosed in the second aspect of the present disclosure.
Additional aspects, advantages, features and objects of the present disclosure would be made apparent from the drawings and the detailed description of the illustrative embodiments constructed in conjunction with the appended claims that follow.
It will be appreciated that features of the present disclosure are susceptible to being combined in various combinations without departing from the scope of the present disclosure as defined by the appended claims.
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 a block diagram of a system for charging a battery pack of an electric vehicle and computing cost associated with a charging event, in accordance with an aspect of the present disclosure.
FIG. 2a illustrates a block diagram of an arrangement between the system and an electric vehicle server, in accordance with an embodiment of the present disclosure.
FIG. 2b illustrates a block diagram of an arrangement between the system, the electric vehicle server and a user device, in accordance with an embodiment of the present disclosure.
FIG. 2c illustrates a block diagram of another arrangement between the system, the electric vehicle server and a user device, in accordance with an embodiment of the present disclosure.
FIG. 3a illustrates a block diagram of the system for charging a battery pack of an electric vehicle, in accordance with another embodiment of the present disclosure.
FIG. 3b illustrates a block diagram of the system for charging a battery pack of an electric vehicle, in accordance with yet another embodiment of the present disclosure.
FIG. 3c illustrates block diagram of the system for charging a battery pack of an electric vehicle, in accordance with yet another embodiment of the present disclosure.
FIG. 4 illustrates a flow chart of a method for charging a battery pack of an electric vehicle and computing cost associated with a charging event, in accordance with another aspect 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 a motor 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”, “include(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 include only those components or steps but may include 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 terms ‘electric vehicle’, ‘EV’, and ‘EVs’ are used interchangeably and refer to any vehicle having stored electrical energy, including the vehicle capable of being charged from an external electrical power source. This may include vehicles having batteries which are exclusively charged from an external power source, as well as hybrid-vehicles which may include batteries capable of being at least partially recharged via an external power source. Additionally, it is to be understood that the ‘electric vehicle’ as used herein includes electric two-wheeler, electric three-wheeler, electric four-wheeler, electric pickup trucks, electric trucks and so forth.
As used herein, the term ‘battery pack’ refers to a power supply unit of the electric vehicle. The battery pack includes at least one battery-cell array. The battery pack may further include a battery management system (BMS). The BMS is an electronic system that manages a rechargeable battery to ensure it operates safely and efficiently, and designed to monitor the parameters associated with the battery pack and its individual cells, apply the collected data to eliminate safety risks and optimise the battery performance. Furthermore, the terms ‘battery-cell array’ and ‘cell array’ are used interchangeably and refer to a set of electrically connected individual battery cells, that may be configured in a series, parallel or a mixture of both to deliver the desired voltage, capacity, or power density.
As used herein, the terms ‘data processing arrangement’ and ‘processor’ are used interchangeably and refer to a computational element that is operable to respond to and processes instructions that drive the system. Optionally, the data processing arrangement includes, but is not limited to, a microprocessor, a micro-controller, a complex instruction set computing (CISC) microprocessor, a reduced instruction set (RISC) microprocessor, a very long instruction word (VLIW) microprocessor, or any other type of processing circuit. Furthermore, the term “processor” may refer to one or more individual processors, processing devices and various elements associated with a processing device that may be shared by other processing devices. Additionally, the one or more individual processors, processing devices and elements are arranged in various architectures for responding to and processing the instructions that drive the system. Furthermore, the data processing arrangement may comprise ARM Cortex-M series processors, such as the Cortex-M4 or Cortex-M7, or any similar processor designed to handle real-time tasks with high performance and low power consumption. Furthermore, the data processing arrangement may comprise custom and/or proprietary processors.
As used herein, the term ‘communicably coupled’ refers to a bi-directional connection between the various components of the system. The bi-directional connection between the various components of the system enables exchange of data between two or more components of the system. Similarly, bi-directional connection between the system and other elements/modules enables exchange of data between system and the other elements/modules.
As used herein, the term “network module” relates to an arrangement of interconnected programmable and/or non-programmable components that are configured to facilitate data communication between one or more electronic devices and/or databases, whether available or known at the time of filing or as later developed. Furthermore, the network module may utilise, but is not limited to, a public network such as the global computer network known as the Internet, a private network, Wi-Fi, a cellular network including 2G, 3G, 4G, 5G LTE etc. and any other communication system or systems at one or more locations. Additionally, the network includes wired or wireless communication that can be carried out via any number of known protocols, including, but not limited to, Internet Protocol (IP), Wireless Access Protocol (WAP), Frame Relay, or Asynchronous Transfer Mode (ATM). Moreover, any other suitable protocols using voice, video, data, or combinations thereof, can also be employed. Moreover, although the system is frequently described herein as being implemented with TCP/IP communications protocols, the system may also be implemented using IPX, Appletalk, IP-6, NetBIOS, OSI, any tunnelling protocol (e.g., IPsec, SSH), or any number of existing or future protocols. It would be appreciated that internal components of system would utilise communication methods including Controller Area Network (CAN), Local Interconnect Network, FlexRay, Ethernet, Modbus, Profibus, DeviceNet, Ethernet/IP, Modbus TCP/IP, Profinet and so forth. Similarly, it would be appreciated that system would utilise communication methods including Wi-Fi, cellular network, Bluetooth for communication with external modules/units/components.
As used herein, the term “server arrangement, “server”, “electric vehicle server”, and “EV server” are used interchangeably and refer to a remote computing unit with organization of one or more CPUs, memory, databases, network interfaces etc. to provide required information via network-based communication.
As used herein, the term “sensor arrangement” and “sensors” are used interchangeably and refers to a configuration of sensors in the system to measure, monitor or detect specific parameters, conditions and/or events.
As used herein, the term “user” refers to an owner of the electric vehicle and/or an owner of the privately owned AC or DC charging system.
As used herein, the term “user device” refers to a handheld computing unit comprising processing, networking and storage capabilities. The user device may include a smartphone, a tablet, a handheld terminal and so forth. It would be appreciated that the user device is associated/owned by the user (owner of the electric vehicle or the owner of the privately owned AC or DC charging system).
As used herein, the term “user input” refers to an input of the information provided by the user.
As used herein, the term “input module” refers to components and subsystems receiving and processing input data from the user. The input module may comprise a touch screen display device capable of receiving inputs. Optionally, the input module may include a physical button-based input device (keypad) (with or without display) capable of receiving the inputs. It would be appreciated that keypad allows users to input various commands, such as selecting charging options, entering a user code or PIN for authentication, or initiating specific functions. Furthermore, it is to be understood that the input module may include at least one of: an RIFD reader, voice control, Near Field Communication technology for receiving various inputs from the user.
As used herein, the term “type of vehicle” refers to electric vehicles categorized as per their purpose or usage. Specifically, the type of vehicle refers to the registration of vehicle as personal mobility vehicle or commercial vehicle. It would be appreciated that the type of vehicle is detected by sensor arrangement and/or by obtaining the registration data of the electric vehicle from Regional Transport Office.
As used herein, the term “display unit” and “display” are used interchangeably and refers to a digital display capable of displaying various information related to the electric vehicle. Furthermore, the display unit may be a combination of digital displays and analog gauges.
As used herein, the term “power-grid parameters” refers to the parameters associated with the power-grid supplying power to the system for charging electric vehicle. It would be appreciated that the power-grid parameters comprise at least one of: a location of the power source (connection with grid for receiving electrical energy), a load rating of electrical connection of the system with the power-grid, an actual current received from the power-grid during the charging event and a voltage received from the power-grid during the charging event.
As used herein, the term “location of the power source” refers to a geographical location of the power source (connection with grid for receiving electrical energy). It would be appreciated that different geographical locations have different price for electricity, thus, the obtaining the location of the power source would enable accurate calculation of the cost of power consumed during the charging event.
As used herein, the term “load rating of electrical connection of the system with the power-grid” refers to a maximum amount of electrical power that can be safely and reliably withdrawn from the power grid. Furthermore, it would be appreciated that the load rating of the electrical connection is an important factor in determining the cost of the power delivered as cost of the power increases with increased load rating of the electrical connection.
As used herein, the term “actual current received from the power-grid during the charging event” refers to the amount of current being received by the system in the real time from the power-grid during the charging event. It would be appreciated that the current received during the charging event may fluctuate with time, thus, the determination of the same would enable accurate calculation of the cost of power consumed during the charging event.
As used herein, the term “actual voltage received from the power-grid during the charging event” refers to the amount of voltage being received by the system in the real time from the power-grid during the charging event. It would be appreciated that the voltage received during the charging event may fluctuate with time, thus, the determination of the same would enable accurate calculation of the cost of power consumed during the charging event.
As used herein, the term “charging event parameter” refers to a parameter applicable for charging of the electric vehicle. The charging event parameter comprises cost per unit of electrical energy consumed during the charging event of the electric vehicle. As used herein, the term “cost per unit of electrical energy” refers to the price/rate of electricity measured per kilowatt-hour. It would be appreciated that the cost per unit of power varies depending on factors such as the time of day, the day of the week, and the season. Furthermore, the cost per unit of power may also vary during off-peak and on-peak hours. Thus, obtaining cost per unit of power enable accurate calculation of the cost of power consumed during the charging event.
Figure 1, in accordance with an embodiment describes a system 100 for charging a battery pack of an electric vehicle and computing cost associated with a charging event, wherein the system 100 comprises a sensor arrangement 102 and a data processing arrangement 104. The sensor arrangement 102 is configured to detect a type of electric vehicle. The data processing arrangement 104 is configured to receive at least one charging event parameter, determine an amount of electrical energy consumed by the battery pack of the electric vehicle during the charging event, and compute a cost associated with the charging event based on power-grid parameters, the at least one charging event parameter and the amount of electrical energy consumed.
The system 100, as disclosed in the present disclosure, is advantageous in terms of accurately determining the amount of power consumed during the charging event of the electric vehicle. Furthermore, the system 100 of the present disclosure is advantageous in terms of providing cost associated with the charging event of the electric vehicle. Furthermore, the system 100 of the present disclosure enables the calculation of cost associated with the charging event in a real-time manner. Furthermore, the system 100 of the present disclosure enables the electric vehicle owner to charge the electric vehicle at any privately owned AC or DC charger. Furthermore, the system 100 of the present disclosure enables the identification whether the electric vehicle being charged is a personal mobility vehicle or a commercial vehicle which would in turn result in better billing and cost allocation, load management and regulatory compliance. It would be appreciated that the identification of the type of electric vehicle would enable differential billing for different type of the vehicle. In an example, a commercial electric vehicle would be billed higher as compared to a personal mobility electric vehicle. Furthermore, based on the detection of the type of electric vehicle being charged, the load in a certain geographical area can be managed accordingly by the power-grid controlling entity. In an example, when multiple commercial electric vehicles are being charged at a charging station, the load on the power-grid can be managed accordingly to prevent power-grid failure. Furthermore, based on the detection of the type of vehicle, regulatory compliance can be ensured in terms of avoiding commercial use of the electricity meant for the purpose of domestic use. Moreover, the system 100 of the present invention would enable the infrastructure providers to identify the need of charging infrastructure based on the type of vehicle being charged in a particular geographical area.
Figure 2a, in accordance with an embodiment describes that the system 100 is communicably coupled to a server arrangement 202. The system 100 is configured to obtain the at least one charging event parameter from the server arrangement 202. It would be appreciated that the server arrangement 202 stores the at least one charging event parameter to provide the same to the system 100 when the system 100 requests the at least one charging event parameter. It would be appreciated that the server arrangement 202 would create a database of the at least one charging event parameter by storing the at least one charging event parameter at different instances of time.
In an embodiment, the server arrangement 202 is communicably coupled to a third-party server (not shown in figures) and configured to receive vehicle registration data from the third-party server and provides the same to the system 100 when requested. The third-party server may be a regional transport office server. Furthermore, the server arrangement 202 is configured to store the vehicle registration data and provide the stored data to the system 100 if the electric vehicle revisits the system 100 for charging in future.
Figure 2b, in accordance with an embodiment describes that the system 100 is communicably coupled to a user device 204. The user device 204 is configured to receive the at least one charging event parameter from the user as the user input and provide the received at least one charging event parameter to the system 100. The system 100 is communicable coupled to the server arrangement 202 to receive the vehicle registration data for identifying the type of electric vehicle.
Figure 2c, in accordance with an embodiment describes that the system 100 is communicably coupled to the server arrangement 202 and the server arrangement 202 is communicably coupled to the user device 204. In an embodiment, the system 100 is configured to display the cost associated with the charging event of the electric vehicle to the user device 204. In another embodiment, the system 100 is configured to display the cost associated with the charging event of the electric vehicle to the user device 204 via the server arrangement 202. In an example, the system 100 communicates the cost associated with the charging event of the electric vehicle to the server arrangement 202 which further communicates the received cost to the user device 204.
In an embodiment, the system 100 is configured to communicate availability for charging the battery pack of the electric vehicle to the server arrangement 202. In an example, the system 100 would communicate the server arrangement that the system 100 is not occupied in charging electric vehicle and may be used to charge another electric vehicle. The server arrangement 202 would store the availability of the system 100. In an embodiment, the server arrangement 202 is communicably coupled to the user device 204 and is configured to communicate the availability of the system 100 for charging the battery pack of the electric vehicle to the user device 204. The user device 204 may receive a notification from the server arrangement 202 that the system 100 is available for charging the battery of the electric vehicle.
Figure 3a, in accordance with an embodiment describes that the system 300 comprises an input module 306 configured to receive the at least one charging event parameter from a user as a user input for the data processing arrangement 304. It would be appreciated that the input module 306 would enable the system 300 to receive input from the user. Optionally, the input module 306 provides the received input to the data processing arrangement 304 for further processing. In an example, input module 306 receives the cost per unit of electrical energy consumed during the charging event.
Figure 3b, in accordance with an embodiment describes that the system 300 comprises a display unit 308 configured to display at least one of: the cost associated with the charging event, the type of electric vehicle, the power grid parameters, and the at least one charging event parameter. The display unit 308 may receive the information to be displayed from the data processing arrangement 304.
Figure 3c, in accordance with another embodiment describes that the system 300 comprises the input module 306 and the display unit 308. The input module 306 may receive the at least one charging event parameter from a user as a user input for the data processing arrangement 304. The display unit 308 configured to display at least one of: the cost associated with the charging event, the type of electric vehicle, the power grid parameters, and the at least one charging event parameter.
In an embodiment, the power-grid parameters comprise at least one of: a load rating of electrical connection of the system 100 with the power-grid, an actual current received from the power-grid during the charging event and a voltage received from the power-grid during the charging event.
In an exemplary embodiment, an electric vehicle reaches the location of the system 100 to charge the battery pack. A charging connector (charging gun) from the system 100 is connected to a charging port of the electric vehicle. The sensor arrangement 102 detects the type of vehicle by CAN (Controller Area Network) communication with the vehicle. Further, the system 100 receives the vehicle registration details from the server arrangement 202 to confirm the type of the electric vehicle connected with the system 100. Once the type of the vehicle is confirmed the system 100 receives the at least one charging event parameter via at least one of: the server arrangement 202, the input module 306, and the user device 204. Once the at least one charging event parameter is received, the charging of the electric vehicle begins. The data processing arrangement 104 determine an amount of electrical energy consumed by the battery pack of the electric vehicle, during the charging event in real time manner and compute a cost associated with the charging event based on power-grid parameters, the at least one charging event parameter and the amount of electrical energy consumed. The display unit 308 of the system 100 displays at least one of: the cost associated with the charging event, the type of electric vehicle, the power grid parameters, and the at least one charging event parameter. Furthermore, the system 100 communicates the cost associated with the charging event of the electric vehicle to the user device 204.
Figure 4, describes a method 400 for charging a battery pack of an electric vehicle and computing cost associated with a charging event. The method 400 starts at step 402 and completes at step 408. At step 402, the method 400 comprises detecting a type of electric vehicle. At step 404, the method 400 comprises receiving at least one charging event parameter. At step 406, the method 400 comprises determining an amount of electrical energy consumed by the battery pack of the electric vehicle, during the charging event. At step 408, the method 400 comprises computing a cost associated with the charging event based on power-grid parameters, the at least one charging event parameter and the amount of electrical energy consumed.
In an embodiment, the method 400 comprises obtaining at least one charging event parameter from a server arrangement 202.
In an embodiment, the method 400 comprises receiving the at least one charging event parameter from a user as a user input.
In an embodiment, the method 400 comprises displaying at least one of: the cost associated with the charging event, the type of electric vehicle, the power grid parameters, and the at least one charging event parameter.
In an embodiment, the method 400 comprises communicating availability for charging the battery pack of the electric vehicle to a user device 204 via the server arrangement 202.
It would be appreciated that all the explanations and embodiments of the system 100 also applies mutatis-mutandis to the method 400.
In another aspect of the present disclosure, there is disclosed a computer program product comprising a non-transitory computer-readable storage medium having computer-readable instructions stored thereon, the computer-readable instructions being executable by a computerized device comprising processing hardware to execute method 400.
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.
Modifications to embodiments of the present disclosure described in the foregoing are possible without departing from the scope of the present disclosure as defined by the accompanying claims. Expressions such as “including”, “comprising”, “incorporating”, “have”, “is” used to describe and claim the present disclosure are intended to be construed in a non- exclusive manner, namely allowing for items, components or elements not explicitly described also to be present. Reference to the singular is also to be construed to relate to the plural where appropriate.
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. A system (100) for charging a battery pack of an electric vehicle and computing cost associated with a charging event, wherein the system (100) comprises:
- a sensor arrangement (102) configured to
- detect a type of electric vehicle; and
- a data processing arrangement (104) configured to
- receive at least one charging event parameter;
- determine an amount of electrical energy consumed by the battery pack of the electric vehicle, during the charging event; and
- compute a cost associated with the charging event based on power-grid parameters, the at least one charging event parameter and the amount of electrical energy consumed.
2. The system (100) as claimed in claim 1, wherein the system (100) is communicably coupled to a server arrangement (202), and wherein the system (100) is configured to obtain the at least one charging event parameter from the server arrangement (202).
3. The system (100) as claimed in claim 1 to 2, wherein the system (100) comprises an input module (306) configured to receive the at least one charging event parameter from a user as a user input for the data processing arrangement (104).
4. The system (100) as claimed in claim 1 to 3, wherein the system (100) is communicably coupled to a user device (204) configured to receive the at least one charging event parameter from the user as the user input and provide the received at least one charging event parameter to the system (100).
5. The system (100) as claimed in claim 1 to 4, wherein the system (100) comprises a display unit (308) configured to display at least one of: the cost associated with the charging event, the type of electric vehicle, the power grid parameters, and the at least one charging event parameter.
6. The system (100) as claimed in claim 1 to 5, wherein the system (100) is configured to display the cost associated with the charging event of the electric vehicle to the user device (204).
7. The system (100) as claimed in claim 1 to 6, wherein the power-grid parameters comprise at least one of: a load rating of electrical connection of the system (100) with the power-grid, an actual current received from the power-grid during the charging event and a voltage received from the power-grid during the charging event.
8. The system (100) as claimed in claim 1 to 7, wherein the system (100) is configured to communicate availability for charging the battery pack of the electric vehicle to the server arrangement (202).
9. The system (100) as claimed in claim 1 to 8, wherein the server arrangement (202) is communicably coupled to the user device (204), and wherein the server arrangement (202) is configured to communicate the availability of the system (100) for charging the battery pack of the electric vehicle to the user device (204).
10. A method (400) for charging a battery pack of an electric vehicle and computing cost associated with a charging event, wherein the method (400) comprises:
- detecting a type of electric vehicle;
- receiving at least one charging event parameter;
- determining an amount of electrical energy consumed by the battery pack of the electric vehicle, during the charging event; and
- computing a cost associated with the charging event based on power-grid parameters, the at least one charging event parameter and the amount of electrical energy consumed.
11. The method (400) as claimed in claim 10, wherein the method (400) comprises obtaining at least one charging event parameter from a server arrangement (202).
12. The method (400) as claimed in claim 10 and 11, wherein the method (400) comprises receiving the at least one charging event parameter from a user as a user input.
13. The method (400) as claimed in claim 10 to 12, wherein the method (400) comprises displaying at least one of: the cost associated with the charging event, the type of electric vehicle, the power grid parameters, and the at least one charging event parameter.
14. The method (400) as claimed in 10 to 13, wherein the method (400) comprises communicating availability for charging the battery pack of the electric vehicle to a user device (204) via the server arrangement (202).
15. A computer program product comprising a non-transitory computer-readable storage medium having computer-readable instructions stored thereon, the computer-readable instructions being executable by a computerized device comprising processing hardware to execute method of claim 10 to 14.