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I/WE CLAIM:
- A method for charging an energy storage device (103a, 103b, or 103c), characterized in that, the method comprising: receiving, by an application server (116), a charging request from a user device (105a, 105b, or 105c) for charging the energy storage device (103a, 103b, or 103c) of an acceptor node (102, 104, or 106), wherein the charging request indicates a current energy level of the energy storage device (103a, 103b, or 103c); determining, by the application server (116), a set of charging parameters for the energy storage device (103a, 103b, or 103c) based on the charging request, wherein the set of charging parameters includes a desired energy level and an amount of charge required to charge the energy storage device (103a, 103b, or 103c) to the desired energy level, wherein the desired energy level and the amount of charge are determined based on a first health optimization criteria of the energy storage device (103a, 103b, or 103c), and wherein the first health optimization criteria indicates a first charging range of the energy storage device (103a, 103b, or 103c) to increase a lifespan of the energy storage device (103a, 103b, or 103c); identifying, by the application server (116), one or more mobile charging systems (108, 110) that satisfy the set of charging parameters, wherein the identified mobile charging systems (108, 110) are available within a first geographical region of the acceptor node (102, 104, or 106), wherein the identification of the mobile charging systems (108, 110) is based on a second health optimization criteria of a charging device of each identified mobile charging system (108, 110), and wherein the second health optimization criteria indicates a second charging range of the charging device of each identified mobile charging system (108, 110) to increase a lifespan of the charging device; ranking, by the application server (116), the identified mobile charging systems (108,
- in an order based on the second health optimization criteria; allocating, by the application server (116), from the identified mobile charging systems (108, 110), a first mobile charging system (108) to charge the energy storage device (103a, 103b, or 103c) based on the ranking; and
enabling, by the application server (116), the first mobile charging system (108) to travel from a first location to reach a second location of the acceptor node (102, 104, or 106) to transfer the amount of charge from the corresponding charging device to the energy storage device (103a, 103b, or 103c).
- The method of claim 1, wherein the charging request is initiated at the user device (105a, 105b, or 105c) based on at least one of behavioral data associated with historical charging of the energy storage device (103a, 103b, or 103c) and a detection that the current energy level of the acceptor node (102, 104, or 106) is less than a determined first threshold value.
- The method of claim 2, wherein the determined first threshold value is based on at least one of the first health optimization criteria of the energy storage device (103a, 103b, or 103c), a user preference of a user associated with the acceptor node (102, 104, or 106), and the behavioral data associated with the historical charging of the energy storage device (103a, 103b, or 103c).
- The method of claim 1, wherein the charging request is indicative of at least one of charging capacity of the energy storage device (103a, 103b, or 103c), a desired charging rate of the energy storage device (103a, 103b, or 103c), a maximum charging rate of the energy storage device (103a, 103b, or 103c), and a turn-around time for achieving the desired energy level.
- The method of claim 4, wherein the set of charging parameters includes the turn-around time for achieving the desired energy level, the desired charging rate of the energy storage device (103a, 103b, and 103c), and the maximum charging rate of the energy storage device (103a, 103b, and 103c).
- The method of claim 1, wherein the ranking of the identified mobile charging systems (108,
- is based on a charge transfer rate of the charging device of each identified mobile charging system (108, 110) and a turn-around time associated with each identified mobile charging system (108, 110) to charge the energy storage device (103a, 103b, or 103c).
storing, by the application server (116), in a database (114), the state of charge data, the location data, and the second threshold value for each mobile charging system (108, 110); identifying, by the application server (116), an optimal charging station from a plurality of charging stations (112a, 112b) for each mobile charging system (108, 110) based on at least a drop in the corresponding state of charge of each mobile charging system (108,
- up to or below the determined second threshold value, an availability of each charging station (112a, 112b), turn-around charging time associated with each charging station (112a, 112b), a cost associated with charging the mobile charging systems (108, 110) at each charging station (112a, 112b), a charging rate for charging the mobile charging systems (108,
- at each charging station (112a, 112b), and a configuration of the mobile charging systems (108, 110); and communicating, by the application server (116), an instruction to each mobile charging system (108, 110) to reach the corresponding optimal charging station, wherein each mobile charging system (108, 110) is charged at the corresponding optimal charging station.
- The method of claim 11, wherein the mobile charging systems (108, 110) that are available within the first geographical region are identified based on the stored location data.
- The method of claim 1, wherein an upper limit of the first charging range is different from a maximum charge storage capacity of the energy storage device (103a, 103b, or 103c).
- The method of claim 1, wherein the acceptor node (102, 104, 106) is one of a vehicle or a building having the energy storage device (103a, 103b, or 103c) to power one or more electronic components.
- A system for charging an energy storage device (103a, 103b, or 103c), characterized in that, the system comprising: an application server (116) configured to: receive a charging request from a user device (105a, 105b, or 105c) for charging the energy storage device (103a, 103b, or 103c) of an acceptor node
(102, 104, or 106), wherein the charging request is indicative of a current energy level of the energy storage device (103a, 103b, or 103c); determine a set of charging parameters for the energy storage device (103a, 103b, or 103c) based on the charging request, wherein the set of charging parameters includes a desired energy level and an amount of charge required to charge the energy storage device (103a, 103b, or 103c) to the desired energy level, wherein the desired energy level and the amount of charge are determined based on a first health optimization criteria of the energy storage device (103a, 103b, or 103c), and wherein the first health optimization criteria indicates a first charging range of the energy storage device (103a, 103b, or 103c) to increase a lifespan of the energy storage device (103a, 103b, or 103c); identify one or more mobile charging systems (108, 110) that satisfy the set of charging parameters, wherein the identified mobile charging systems (108,
- are available within a first geographical region of the acceptor node (102, 104, or 106), wherein the identification of the mobile charging systems (108, 110) is based on a second health optimization criteria of a charging device of each identified mobile charging system (108, 110), and wherein the second health optimization criteria indicates a second charging range of the charging device of each identified mobile charging system (108, 110) to increase a lifespan of the charging device; rank the identified mobile charging systems (108, 110) in an order based on the second health optimization criteria; allocate, from the identified mobile charging systems (108, 110), a first mobile charging system (108) to charge the energy storage device (103a, 103b, or 103c) based on the ranking; and enable the first mobile charging system (108) to travel from a first location to reach a second location of the acceptor node (102, 104, or 106) to transfer the amount of charge from the corresponding charging device to the energy storage device (103a, 103b, or 103c).
receiving, by an application server (116), from a user device (105a, 105b, or 105c) associated with an acceptor node (102, 104, or 106), energy level data of the acceptor node (102, 104, or 106), wherein the energy level data indicates a current energy level of the energy storage device (103a, 103b, or 103c) of the acceptor node (102, 104, or 106); determining, by the application server (116), a first threshold value based on a first health optimization criteria of the energy storage device (103a, 103b, or 103c), and wherein the first health optimization criteria indicates a first charging range of the energy storage device (103a, 103b, or 103c) to increase a lifespan of the energy storage device (103a, 103b, or 103c); initiating, by the application server (116), a charging request for charging the energy storage device (103a, 103b, or 103c) based on a detection that the current energy level is less than the determined first threshold value; determining, by the application server (116), a set of charging parameters for the energy storage device (103a, 103b, or 103c) based on the charging request, wherein the set of charging parameters includes a desired energy level and an amount of charge required to charge the energy storage device (103a, 103b, or 103c) to the desired energy level, and wherein the desired energy level and the amount of charge are determined based on the first health optimization criteria; identifying, by the application server (116), one or more mobile charging systems (108, 110) that satisfy the set of charging parameters, wherein the identified mobile charging systems (108, 110) are available within a first geographical region of the acceptor node (102, 104, or 106), wherein the identification of the mobile charging systems (108, 110) is based on a second health optimization criteria of a charging device of each identified mobile charging system (108, 110), and wherein the second health optimization criteria indicates a second charging range of the charging device of each identified mobile charging system (108, 110) to increase a lifespan of the charging device; ranking, by the application server (116), the identified mobile charging systems (108,
- in an order based on the second health optimization criteria of the charging device of each mobile charging system (108, 110);
allocating, by the application server (116), from the identified mobile charging systems (108, 110), a first mobile charging system (108) to charge the energy storage device (103a, 103b, or 103c) based on the ranking; and enabling, by the application server (116), the first mobile charging system (108) to travel from a first location to reach a second location of the acceptor node to transfer the amount of charge from the corresponding charging device to the energy storage device (103a, 103b, or 103c).
- The method of claim 18, wherein the determined first threshold value is based on a user preference of a user associated with the acceptor node (102, 104, or 106) and behavioral data associated with historical charging of the energy storage device (103a, 103b, or 103c).
- The method of claim 19, comprising incentivizing, by the application server (116), the user associated with the acceptor node (102, 104, or 106) for charging the energy storage device (103a, 103b, or 103c) based on the first health optimization criteria of the energy storage device (103a, 103b, or 103c).
- The method of claim 18, wherein the set of charging parameters includes a turn-around time to charge the energy storage device (103a, 103b, or 103c), a desired charging rate of the energy storage device (103a, 103b, or 103c), and a maximum charging rate of the energy storage device (103a, 103b, or 103c). Dated this 18th^ day of September 2020 Ojas Sabnis (Agent for Applicants) IN/PA-
enabling, by the application server (116), wherein based on the allocation, the first mobile charging system (108) to travels from a first location to reach a second location of the acceptor node (102, 104, or 106) to transfer the amount of charge from the corresponding charging device to the energy storage device (103a, 103b, or 103c).
- The method of claim 1, wherein the charging request is initiated at the user device (105a, 105b, or 105c) based on at least one of behavioral data associated with historical charging of the energy storage device (103a, 103b, or 103c) and a detection that the current energy level of the acceptor node (102, 104, or 106) is less than a determined first threshold value.
- The method of claim 2, wherein the determined first threshold value is based on at least one of the first health optimization criteria of the energy storage device (103a, 103b, or 103c), a user preference of a user associated with the acceptor node (102, 104, or 106), and the behavioral data associated with the historical charging of the energy storage device (103a, 103b, or 103c).
- The method of claim 1, wherein the charging request is further indicative of at least one of a desired energy level of the acceptor node, a charging capacity of the energy storage device (103a, 103b, or 103c), a desired charging rate of the energy storage device (103a, 103b, or 103c), a maximum charging rate of the energy storage device (103a, 103b, or 103c), and a turn-around time for achieving the desired energy level.
- The method of claim 4, wherein the set of charging parameters further includes the turn- around time for achieving the desired energy level, the desired charging rate of the energy storage device (103a, 103b, and 103c), and the maximum charging rate of the energy storage device (103a, 103b, and 103c).
- The method of claim 1, further comprising wherein the ranking, by the application server, of the identified one or more mobile charging systems (108, 110) in an order is based on at least one of health optimization criteria of a charging device of each of the one or more mobile charging systems, a charge transfer rate of the charging device of each of the one or
moreidentified mobile charging systems (108, 110), and a turn-around time associated with each of the one or more identified mobile charging systems (108, 110) to charge the energy storage device (103a, 103b, or 103c).
- The method of claim 6, wherein the first mobile charging system (108) is allocated based on at least one of a user preference of a user associated with the acceptor node (102, 104, or 106) and the ranking of the one or more mobile charging systems.
- The method of claim 7, further comprising rendering, by the application server (116), a user interface (604), via the user device (105a, 105b, or 105c), to present the ranked one or more mobile charging systems (108, 110) to the user, wherein the user preference includes a selection of the first mobile charging system (108) from the ranked one or more mobile charging systems (108, 110) to charge the energy storage device (103a, 103b, or 103c).
- The method of claim 1, further comprising communicating, by the application server (116), a confirmation response to the user device (105a, 105b, or 105c) to indicate the allocation of the first mobile charging system (108) to charge the energy storage device (103a, 103b, or 103c), wherein the confirmation response is indicative of real-time location tracking information associated with the first mobile charging system (108).
- The method of claim 1, further comprising displaying, via a user interface (606) on the user device (105a, 105b, or 105c) while the energy storage device (103a, 103b, or 103c) is being charged by the first mobile charging system (108), a real-time energy level of the acceptor node (102, 104, or 106), a unit of charge received by the energy storage device (103a, 103b, or 103c) from the first mobile charging system (108), an estimated cost of charging the energy storage device (103a, 103b, or 103c), and a remaining time to charge the energy storage device (103a, 103b, or 103c) to a the desired energy level.
- The method of claim 1, further comprising: receiving, by the application server (116), from each of the one or more mobile charging systems (108, 110), state of charge data and location data in real-time or near real-
theallocation notification wherein an upper limit of the first charging range is different from a maximum charge storage capacity of the energy storage device (103a, 103b, or 103c).
- The method of claim 1, wherein the acceptor node (102, 104, 106) is one of a vehicle or a building having the energy storage device (103a, 103b, or 103c) to power one or more electronic components.
- A system to facilitate for charging an energy storage device (103a, 103b, or 103c), characterized in that, the system comprising: an application server (116) configured to: receive a charging request from a user device (105a, 105b, or 105c) for charging an the energy storage device (103a, 103b, or 103c) of associated with an acceptor node (102, 104, or 106), wherein the charging request is indicative of a current energy level of the energy storage device (103a, 103b, or 103c)acceptor node; determine a set of charging parameters for the energy storage device (103a, 103b, or 103c) based on the charging request, wherein the set of charging parameters includes at least a desired energy level and an amount of charge required to charge the energy storage device (103a, 103b, or 103c) to the desired energy level, wherein the desired energy level and the amount of charge are determined based on a first health optimization criteria of the energy storage device (103a, 103b, or 103c), and wherein the first health optimization criteria indicates a first charging range of the energy storage device (103a, 103b, or 103c) to increase a lifespan of the energy storage device (103a, 103b, or 103c); identify one or more mobile charging systems (108, 110) that satisfy the set of charging parameters for the energy storage device, wherein the identified one or more mobile charging systems (108, 110) are available within a first geographical region associated withof the acceptor node (102, 104, or 106), wherein the identification of the mobile charging systems (108, 110) is based on a second health optimization criteria of a charging device of each identified mobile charging system (108, 110), and wherein the second health optimization criteria
indicates a second charging range of the charging device of each identified mobile charging system (108, 110) to increase a lifespan of the charging device; and rank the identified mobile charging systems (108, 110) in an order based on the second health optimization criteria; allocate, from the one or moreidentified mobile charging systems (108, 110), a first mobile charging system (108) to charge the energy storage device (103a, 103b, or 103c) of the acceptor node based on the ranking; and enable, wherein based on the allocation, the first mobile charging system (108) to travels from a first location to reach a second location of the acceptor node (102, 104, or 106) to transfer the amount of charge from the corresponding charging device to the energy storage device (103a, 103b, or 103c).
- The system of claim 15, wherein the charging request is further indicative of at least one of a desired energy level of the acceptor node, a charging capacity of the energy storage device (103a, 103b, or 103c), a desired charging rate of the energy storage device (103a, 103b, or 103c), a maximum charging rate of the energy storage device (103a, 103b, or 103c), and a turn-around time for achieving the desired energy level.
- The system of claim 15, wherein the application server (116) is further configured to: receive, from each of the one or more mobile charging systems (108, 110), state of charge data and location data in real-time or near real-time, wherein the state of charge data is indicative ofindicates a state of charge of a the charging device of each of the one or more mobile charging systems (108, 110); determine a second threshold value for each mobile charging system (108, 110) based on the second health optimization criteria associated with the charging device of each mobile charging system (108, 110); store, in a database (114), the state of charge data and, the location data, and the second threshold value for each mobile charging system (108, 110), wherein the one or more mobile charging systems (108, 110) that are available within the first geographical region are identified based on the stored location data;
to charge the energy storage device (103a, 103b, or 103c) to the desired energy level, and wherein the desired energy level and the amount of charge are determined based on the first health optimization criteria; identifying, by the application server (116), one or more mobile charging systems (108, 110) that satisfy the set of charging parameters of the energy storage device, wherein the identified one or more mobile charging systems (108, 110) are available within a first geographical region associated withof the acceptor node (102, 104, or 106), wherein the identification of the mobile charging systems (108, 110) is based on a second health optimization criteria of a charging device of each identified mobile charging system (108, 110), and wherein the second health optimization criteria indicates a second charging range of the charging device of each identified mobile charging system (108, 110) to increase a lifespan of the charging device; and ranking, by the application server (116), the identified mobile charging systems (108,
- in an order based on the second health optimization criteria of the charging device of each mobile charging system (108, 110); allocating, by the application server (116), from the one or moreidentified mobile charging systems (108, 110), a first mobile charging system (108) to charge the energy storage device (103a, 103b, or 103c) of the acceptor node based on the ranking; and enabling, by the application server (116), wherein based on the allocation, the first mobile charging system (108) to travels from a first location to reach a second location of the acceptor node to transfer the amount of charge from the corresponding charging device to the energy storage device (103a, 103b, or 103c).
- The method of claim 18, wherein the determined first threshold value is based on at least one of health optimization criteria of the energy storage device, a user preference of a user associated with the acceptor node (102, 104, or 106), and behavioral data associated with historical charging of the energy storage device (103a, 103b, or 103c).
- The method of claim 19, further comprising incentivizing, by the application server (116), the user associated with the acceptor node (102, 104, or 106) for charging the energy storage
device (103a, 103b, or 103c) of the acceptor node based on the first health optimization criteria of the energy storage device (103a, 103b, or 103c).
- The method of claim 18, wherein the set of charging parameters further includes a turn- around time to charge the energy storage device (103a, 103b, or 103c), a desired charging rate of the energy storage device (103a, 103b, or 103c), and a maximum charging rate of the energy storage device (103a, 103b, or 103c).
