DESC:SYSTEM AND METHOD FOR COMPUTING POWER CONSUMED IN CHARGING EVENT OF ELECTRIC VEHICLE
CROSS REFERENCE TO RELATED APPLICTIONS
The present application claims priority from Indian Provisional Patent Application No. 202221036923 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 for calculation of power consumed and associated cost for charging an electric vehicle. Particularly, the present disclosure relates to a system for computing power consumed in a charging event of an electric vehicle and communicating the same to a user. Furthermore, the present disclosure relates to a method for computing power consumed in a charging event of an electric vehicle and communicating the same to a user.
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. Due to the above, the DC fast charging is costly compared to domestic and/or commercial electrical charging. 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.
The electric vehicle users are reluctant to charge their electric vehicles at regular domestic or commercial outlet, via the on-board charger, as it is difficult to determine the amount of electrical energy consumed by the battery pack during the charging event. Generally, the regular domestic or commercial outlets are unmetered (at the outlet/socket level) and does not have required components associated with the outlet to determine the power supplied from the outlet at a specific instance. Furthermore, in a situation where the battery pack of the electric vehicle is charged using the on-board charger, wherein the on-board charger is connected to an electrical outlet of which is not owned by the user of the electric vehicle, the calculation of cost for the amount of electrical energy consumed by the battery pack is even more difficult. The cost of per unit of electrical energy consumed by the battery pack may vary from outlet to outlet and depend upon different parameters. Therefore, the electric vehicle user is always hesitant to use unmetered outlets for charging the battery pack, during a journey. Furthermore, due to the such limitation, the owners of such outlets are reluctant to provide charging to electric vehicle users, as it is not possible to determine the power consumed during the specific charging event. Furthermore, it is even more difficult to determine the external factors associated with the cost of power consumed during the charging event. Moreover, the existing metered outlets fails to provide an estimation of cost prior to the charging event of the electric vehicle.
Therefore, there exists a need of system and method for calculation of cost of 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 computing power consumed in a charging of an electric vehicle done from an unmetered outlet.
Another object of the present disclosure is to provide a method for computing power consumed in a charging of an electric vehicle done from an unmetered outlet.
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 computing power consumed in a charging of an electric vehicle done from an unmetered outlet.
In accordance with first aspect of the present disclosure, there is provided a system for computing power consumed in a charging event of an electric vehicle, wherein the system comprises a sensor arrangement, a data processing arrangement, and a display unit. The sensor arrangement is configured to detect a type of a power source. The data processing arrangement is configured to obtain at least one connection parameter associated with the detected power source during the charging event, determine an amount of electrical energy consumed by the electric vehicle during the charging event, and calculate a cost associated with the consumed electrical energy based on the connection parameters and the amount of electrical energy consumed. The display unit is communicably coupled to the data processing arrangement and configured to display the calculated cost associated with the charging event of the electric vehicle.
The present disclosure provides a system for computing power consumed in a charging event of the electric vehicle. 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 unmetered domestic or commercial electrical outlet which is not specifically meant for charging electric vehicles. Furthermore, the system of the present disclosure enables the domestic households and small commercial units to provide charging to the electric vehicle users as per their requirements, even in the remote areas.
In accordance with second aspect of the present disclosure, there is provided a method for computing power consumed in a charging event of an electric vehicle. The method comprises detecting a type of power source, obtaining at least one connection parameter associated with the detected power source during the charging event, determining an amount of electrical energy consumed by the electric vehicle during the charging event, calculating a cost associated with the consumed electrical energy based on the connection parameters and the amount of electrical energy consumed, and displaying the calculated cost associated with the charging event of the electric vehicle.
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 computing power consumed in a charging event of an electric vehicle, 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 another embodiment of the present disclosure.
FIG. 2c illustrates a block diagram of another arrangement between the system, the electric vehicle server and the user device, in accordance with yet another embodiment of the present disclosure.
FIG. 3 illustrates a flow chart of a method for computing power consumed in a charging event of an electric vehicle, 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 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, 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 “power source”, “electrical outlet”, “outlet” and “power outlet” are used interchangeably and refers to source of electricity supply for charging of the electric vehicle. The power source may include wired AC power sources, wired DC power sources, wireless power sources, renewable energy-based power sources, non-renewable energy-based power sources and so forth.
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.
As used herein, the term “display unit”, “display”, “instrument cluster”, and “vehicle instrument cluster” 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 displays and analog gauges.
Figure 1, in accordance with an embodiment describes a system 100 for computing power consumed in a charging event of an electric vehicle, wherein the system 100 comprises a sensor arrangement 102, a data processing arrangement 104, and a display unit 106. The sensor arrangement 102 is configured to detect a type of a power source. The data processing arrangement 104 is configured to obtain at least one connection parameter associated with the detected power source during the charging event, determine an amount of electrical energy consumed by the electric vehicle during the charging event, and calculate a cost associated with the consumed electrical energy based on the connection parameters and the amount of electrical energy consumed. The display unit 106 is communicably coupled to the data processing arrangement 104 and configured to display the calculated cost associated with the charging event of the electric vehicle.
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 an 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. Advantageously, the system 100 of the present disclosure enables the calculation of cost associated with the charging event in a real-time manner. Advantageously, the system 100 of the present disclosure enables the electric vehicle user to charge the electric vehicle at any unmetered domestic or commercial electrical outlet which is not specifically meant for charging electric vehicles. Advantageously, the system 100 of the present disclosure enables the domestic households and small commercial units to provide charging to the electric vehicle users as per their requirements, even in the remote areas. The system 100 of the present disclosure is advantageous in terms of providing estimation of cost for the existing charging stations prior to the charging of the electric vehicle.
In an embodiment, type of power source comprises: a domestic electrical outlet or a commercial electrical outlet. Specifically, the power source comprises the domestic electrical outlets which are unmetered and are not particularly designed for the purpose of charging the electric vehicles. Alternatively, the power source comprises commercial electrical outlets which are unmetered and are not particularly designed for the purpose of charging electric vehicles. The sensor arrangement 102 is configured to detect the type of power source based on the characteristics of the established connection between the power source and the electric vehicle. In an embodiment, the sensor arrangement 102 detects type of the power source based on the amount of current and voltage received from the power source. It would be appreciated that the determination of type of the power source would enable the system to account for differential pricing model of different type of electrical outlets based on the usage category such as domestic connection, commercial connection etc.
In an embodiment, the sensor arrangement 102 may comprise a combination of voltage sensors, current sensors, hall effect sensors and so forth. In another embodiment, the battery management system of the electric vehicle may function as the sensor arrangement 102 for detecting type of the power source. In yet another embodiment, the sensor arrangement 102 may comprise a combination of voltage sensors, current sensors, hall effect sensors and battery management system for detecting type of the power source.
The data processing arrangement 104 is configured to obtain at least one connection parameter associated with the detected power source during the charging event. In an embodiment, the he connection parameters associated with the power source comprises at least one of: a location of the power source, a type of the power source, a load rating of the power source, cost per unit of power, and a type of power-grid.
As used herein, the term “location of the power source” refers to a geographical location of the power source. 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 the power source” refers to a maximum amount of electrical power that can be safely and reliably withdrawn from the power source. Furthermore, it would be appreciated that the load rating of the power source is an important factor in determining the cost of the power delivered as cost of the power increases with increased load rating of the power source.
As used herein, the term “cost per unit of power” 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.
As used herein, the term “type of power-grid” refers to the type of energy supplying grid that is supplying electrical energy to the power source for the charging of the electric vehicle. Optionally, the type of power-grid may comprise regular power grid, micro grid, smart grid, renewable energy grid and so forth. It would be appreciated that the cost of the power is also dependent on the type of power-grid. In an example, power from a renewable grid is costlier in comparison to a regular grid supplying power from conventional sources of electrical energy.
Figure 2a, in accordance to an embodiment describes that the system 100 is communicably coupled to an electric vehicle server 202, wherein the system 100 is configured to obtain the at least one connection parameter from the electric vehicle server 202. The electric vehicle server 202 stores and maintains records of the at least one connection parameter. It would be appreciated that with the increase in time period the stored records of the at least one connection parameter increases with respect to the number of power sources, geographical area. Furthermore, the system 100 may utilize the network module to communicate with the electric vehicle server 202. In an embodiment, the electric vehicle server 202 receives the at least one connection parameter from at least one third party server. The third-party server may include data repositories of discoms and similar databases. In an example, the system 100 receives the location of the power source, the type of the power source, the load rating of the power source, the cost per unit of power, and the type of power-grid from the electric vehicle server 202.
Figure 2b, in accordance to another embodiment describes that the system 100 is communicably coupled to a user device 204, wherein the user device 204 is configured to provide the at least one connection parameter, as a user input, to the system 100. Furthermore, the system 100 may utilize the network module to communicate with the user device 204. The user device 204 is configured to receive at least one connection parameter as a user input from a user. In an embodiment, the user device 204 may be associated with user of the electric vehicle and/or the owner of the power source. In an example the user device 204 is a smartphone of electric vehicle owner. In another example, the user device 204 is a smartphone of electrical outlet owner. In an exemplary embodiment, the user may input at least one connection parameter such as load rating of the power source and/or cost per unit of power into the user device 204 and the user device 204 would provide the user input to the system 100.
Figure 2c, in accordance to yet another embodiment describes that the user device 204 is communicably coupled to the electric vehicle server 202, wherein the user device 204 configured to receive the at least one connection parameter from the electric vehicle server 202 and provide the received at least one connection parameter to the system 100. In a scenario, when the system 100 fails to establish communication with the electric vehicle server 202, the user device 204 (communicably coupled to the system 100) may be authenticated to communicate with the electric vehicle server 202 to receive the at least one connection parameter from the electric vehicle server 202. The user device 204 may be configured to provide the received at least one connection parameter to the system 100.
In an embodiment, the system 100 is configured to display the calculated cost associated with the charging event of the electric vehicle to the user device 204. Advantageously, the user device 204 displays the calculated cost associated with the charging event to the user for their information. It would be appreciated that the term “user” herein refers to user of the electric vehicle and/or owner of the power source.
In an embodiment, the system 100, before the charging event, is configured to determine an estimated a cost of the charging event for the electric vehicle, based on state of charge of battery of the electric vehicle and the connection parameters associated with available power sources at a geographical location.
In an exemplary embodiment, when the electric vehicle reaches to a location available with power source, the system 100 may determine estimated a cost of the charging event for the electric vehicle based on state of charge of battery of the electric vehicle and the connection parameters associated with power source to be used for charging the electric vehicle.
In another exemplary embodiment, when the user of the electric vehicle prompts the system 100 that the user wants to charge the electric vehicle, the system 100 may determine estimated a cost of the charging event for the electric vehicle based on state of charge of battery of the electric vehicle and the connection parameters associated with the different power sources available in a defined proximity of the electric vehicle.
In yet another exemplary embodiment, when the user of the electric vehicle prompts the system 100 that the user wants to charge the electric vehicle at a particular geographical location (destination of the user), the system 100 may determine estimated a cost of the charging event for the electric vehicle based on state of charge of battery of the electric vehicle and the connection parameters associated with the different power sources available at the geographical location defined by the user. Furthermore, the geographical location may be defined by the user by way of inputting GPS co-ordinates, pin codes and so forth.
Figure 3, describes a method 300 for computing power consumed in a charging event of an electric vehicle. The method 300 starts at step 302 and completes at step 310. At step 302, the method 300 comprises detecting a type of power source. At step 304, the method 300 comprises obtaining at least one connection parameter associated with the detected power source, during the charging event. At step 306, the method 300 comprises determining an amount of electrical energy consumed by the electric vehicle, during the charging event. At step 308, the method 300 comprises calculating a cost associated with the consumed electrical energy based on the connection parameters and the amount of electrical energy consumed. At step 310, the method 300 comprises displaying the calculated cost associated with the charging event of the electric vehicle.
In an embodiment, the method 300 comprises obtaining the at least one connection parameter from an electric vehicle server 202.
In another embodiment, the method 300 comprises providing the at least one connection parameter, as a user input.
In yet another embodiment, the method 300 comprises receiving the at least one connection parameter on the user device 204 from the electric vehicle server 202 and providing the received at least one connection parameter from the user device 204.
In an embodiment, the method 300 comprises determining the amount of the electrical energy consumed by the electric vehicle in a real-time manner.
In an embodiment, the method 300 comprises determining an estimated a cost of the charging event for the electric vehicle, before the charging event, based on state of charge of battery of the electric vehicle and the connection parameters associated with available power sources at a geographical location.
It would be appreciated that all the explanations and embodiments of the system 100 also applies mutatis-mutandis to the method 300.
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 300.
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 computing power consumed in a charging event of an electric vehicle, wherein the system (100) comprises:
- a sensor arrangement (102) configured to detect a type of a power source;
- a data processing arrangement (104) configured to
- obtain at least one connection parameter associated with the detected power source, during the charging event;
- determine an amount of electrical energy consumed by the electric vehicle, during the charging event; and
- calculate a cost associated with the consumed electrical energy based on the connection parameters and the amount of electrical energy consumed; and
- a display unit (106), communicably coupled to the data processing arrangement (104), configured to display the calculated cost associated with the charging event of the electric vehicle.
2. The system (100) as claimed in claim 1, wherein the type of power source comprises: a domestic electrical outlet or a commercial electrical outlet.
3. The system (100) as claimed in claim 1 and 2, wherein the connection parameters associated with the power source comprises at least one of: a location of the power source, a type of the power source, a load rating of the power source, cost per unit of power, and a type of power-grid.
4. The system (100) as claimed in claim 1 to 3, wherein the system (100) is communicably coupled to an electric vehicle server (202), wherein the system (100) is configured to obtain the at least one connection parameter from the electric vehicle server (202).
5. The system (100) as claimed in claim 1 to 4, wherein the system (100) is communicably coupled to a user device (204), wherein the user device (204) is configured to provide the at least one connection parameter, as a user input, to the system (100).
6. The system (100) as claimed in claim 1 to 5, wherein the user device (204) is communicably coupled to the electric vehicle server (202), wherein the user device (204) configured to receive the at least one connection parameter from the electric vehicle server (202) and provide the received at least one connection parameter to the system (100).
7. The system (100) as claimed in claim 1 to 6, wherein the system (100) is configured to display the calculated cost associated with the charging event of the electric vehicle to the user device (204).
8. The system (100) as claimed in claim 1, wherein the amount of the electrical energy consumed by the electric vehicle is determined in a real-time manner.
9. The system (100) as claimed in claim 1 to 7, wherein the system (100), before the charging event, is configured to determine an estimated a cost of the charging event for the electric vehicle, based on state of charge of battery of the electric vehicle and the connection parameters associated with available power sources at a geographical location.
10. A method (300) for computing power consumed in a charging event of an electric vehicle, wherein the method comprises:
- detecting a type of power source;
- obtaining at least one connection parameter associated with the detected power source, during the charging event;
- determining an amount of electrical energy consumed by the electric vehicle, during the charging event;
- calculating a cost associated with the consumed electrical energy based on the connection parameters and the amount of electrical energy consumed; and
- displaying the calculated cost associated with the charging event of the electric vehicle.

11. The method (300) as claimed in claim 10, wherein the method (300) comprises obtaining the at least one connection parameter from an electric vehicle server (202).
12. The method (300) as claimed in claim 10 and 11, wherein the method (300) comprises providing the at least one connection parameter, as a user input.
13. The method (300) as claimed in claim 10 to 12, wherein the method (300) comprises displaying the calculated cost associated with the charging event of the electric vehicle to a user device (204).
14. The method (300) as claimed in claim 10, wherein the method (300) comprises determining the amount of the electrical energy consumed by the electric vehicle in a real-time manner.
15. The method (300) as claimed in claim 10 to 13, wherein the method (300) comprises determining an estimated a cost of the charging event for the electric vehicle, before the charging event, based on state of charge of battery of the electric vehicle and the connection parameters associated with available power sources at a geographical location.
16. 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 (300) of claim 10 to 15.