A system and a method for charging a battery pack

Abstract

The present invention relates to a system (100) and method (200) for charging one or more battery packs (102). The system (100) has a Battery Management System (BMS) (104) configured to be connected to the one or more battery packs (102) and receive one or more battery parameters corresponding to the one or more battery packs (102). The system (100) has a control unit (106) configured to determine a charging current corresponding to at least one of the one or more battery parameters of the one or more battery packs (102), one or more user parameters and one or more grid parameters of a power source. The system (100) has a charger unit (108) connected to the one or more battery packs (102) and the control unit (106), the charger unit (108) being adapted to provide the determined charging current to the one or more battery packs (102) for charging.

Description

[0001] TITLE OF INVENTION

[0002] A SYSTEM AND A METHOD FOR CHARGING A BATTERY PACK

[0003] FIELD OF THE INVENTION

[0004]

[0001] The present invention relates to charging a vehicle. More particularly, the present invention relates to a system and a method for charging one or more battery packs of the vehicle.

[0005] BACKGROUND OF THE INVENTION

[0006]

[0002] With the advancement in vehicle technologies, especially electric vehicles, there is a great focus on enhancement of a driving range of electric vehicles. The electric vehicle refers to a vehicle that is powered by an electric motor and adapted to draw electricity from one or more battery packs of the vehicle. However, in existing electric vehicles, there are certain challenges such as the driving range, overall charging time of the electric vehicle, lack of charging infrastructure, battery health and the like.

[0003] Conventionally, the battery pack(s) of the electric vehicle is adapted to be charged through an external power source. The battery pack is uniformly charged to 100%, thereby reducing the efficiency as well as the overall life of the battery pack and hence, the same is undesirable. In other words, the uniform charging of the battery pack leads to certain problems associated with the battery pack such as suboptimal battery health, reduced longevity, increased strain on the power source, higher electricity bills, and the like. The reduced life of the battery pack along with the other associated problems is alarming as the same reduces the overall efficiency of the electric vehicles in terms of driving range.

[0007]

[0004] Further, the complete charging of the battery pack i.e., up to 100% frequently, irrespective of a total distance to be covered, deteriorates the battery life. Also, the existing charging process for charging the battery pack utilizes fast charging, thereby further deteriorating the health and life of the battery pack. Similarly, the charging of the battery pack during a peak hour is costly and the same is also undesirable. Also, if the charging hours of the battery pack are set in the electric vehicles, then also the charging pattern is not flexible to be changed due to any change in the plan.

[0008]

[0005] Thus, there is a need in the art for a system and a method for charging a battery pack, which addresses at least the aforementioned problems.

[0009] SUMMARY OF THE INVENTION

[0010]

[0006] In one aspect, the present invention relates to a system for charging one or more battery packs. The system comprises a Battery Management System (BMS), a control unit and a charger unit. The BMS is operably connected to the one or more battery packs. The BMS is configured to receive one or more battery parameters corresponding to the one or more battery packs. The control unit is operably connected to the BMS. The control unit is configured to determine a charging current corresponding to at least one of the one or more battery parameters of the one or more battery packs, one or more user parameters and one or more grid parameters of a power source. The charger unit is operably connected to the one or more battery packs and the control unit. The charger unit is adapted to provide the determined charging current to the one or more battery packs for charging.

[0011]

[0007] In an embodiment of the invention, the one or more battery parameters of the one or more battery packs is selected from a group comprising: a State of Charge (SOC) of the battery pack, a voltage of the battery pack, a current of the battery pack, a State of Health (SOH) of the battery pack, a temperature of the battery pack and a maximum charging current.

[0012]

[0008] In an embodiment of the invention, the one or more user parameters has at least one of an input from a user corresponding to a next ride, the input from the user corresponding to a ride start time, the input from the user corresponding to a ride total distance, and the input from the user corresponding to a driving mode.

[0013]

[0009] In an embodiment of the invention, the one or more grid parameters comprises at least one of a peak consumption charge time, a non-peak consumption charge time, charges for a peak consumption and a non-peak consumption, a scheduled outage time and duration, a sudden outage time and duration, a State of Charge (SOC) of the grid, and a State of Health (SOH) of the grid.

[0014]

[0010] In an embodiment of the invention, the control unit is configured to charge the one or more battery packs in a normal charging mode upon satisfaction of a first set of pre-defined conditions. The first set of the pre-defined conditions comprises one of: a current time being before or same as a peak start time and the ride start time being before or equal to the peak start time; the current time being after or equal to the peak end time and the ride start time being after or equal to the peak end time; and the current time being after the peak start time and the ride start time being before the peak end time.

[0015] [Oi l] In an embodiment of the invention, the control unit is configured to charge the one or more battery packs in an adaptive charging mode upon satisfaction of a second set of pre-defined conditions. The second set of the pre-defined conditions comprises one of: the current time being before or equal to the peak start time and the ride start time being after the peak end time; the current time being after the peak start time and the ride start time being after the peak end time; and the current time being before the peak start time and the ride start time being before or equal to the peak end time.

[0016]

[0012] In an embodiment of the invention, the control unit, upon determination of the current time being before or same as the peak start time and the ride start time being after the peak end time, is further configured to: start charging of the one or more battery packs immediately before the peak start time, stop charging of the one or more battery packs at the peak start time and restart charging of the one or more battery packs after the peak end time immediately, based on a detection of charging being complete in a non-peak time interval; or start charging of the one or more battery packs immediately before the peak start time, continue charging of the one or more battery packs at a required SOC during the peak time interval and resume charging of the one or more battery packs after the peak end time, based on the detection of the charging being incomplete in the non-peak time interval.

[0013] In an embodiment of the invention, the control unit, upon determination of the current time being after the peak start time and the ride start time being after the peak end time, is further configured to: start charging of the one or more battery packs with a minimum charging current during a peak time interval and continue charging of the one or more battery packs with a required charging current during a non-peak time interval, based on a detection of charging being complete in the non-peak time interval; or start charging of the one or more battery packs at a required SOC during the peak time interval and resume charging of the one or more battery packs during the non- peak time interval, based on the detection of the charging being incomplete in the non- peak time interval.

[0017]

[0014] In an embodiment of the invention, the control unit, upon determination of the current time being before the peak start time and the ride start time being before or equal to the peak end time, is further configured to: start charging of the one or more battery packs with a required charging current during a non-peak time interval and continue charging of the one or more battery packs with a minimum charging current during a peak time interval, based on a detection of charging being complete in the non-peak time interval; or start charging of the one or more battery packs during the non-peak time interval and resume charging of the one or more battery packs at a required SOC during the peak time interval, based on the detection of the charging being incomplete in the non-peak time interval.

[0018]

[0015] In an embodiment of the invention, the control unit is configured to store the charging current, the one or more battery parameters of the one or more battery packs, the one or more user parameters, and the one or more grid parameters of the power source.

[0019]

[0016] In an embodiment of the invention, the one or more battery packs are disposed in a vehicle. The control unit is adapted to determine one or more operating parameters of the vehicle. The control unit is adapted to determine the charging current corresponding to at least one of the one or more battery parameters of the one or more battery packs, the one or more user parameters, the one or more grid parameters of the power source, and the one or more operating parameters of the vehicle.

[0020]

[0017] In an embodiment of the invention, the control unit is configured to: determine an energy required for the next ride based on the one or more user parameters and an energy consumption based on a previous ride; determine a state of charge (SOC) of the one or more battery packs required for the next ride; compare the required SOC of the one or more battery packs with a current SOC of the one or more battery packs; determine a charging current for the one or more battery packs based on the comparison of the required SOC with the current SOC of the one or more battery packs and a time duration for the next ride; compare the determined charging current with the maximum charging current; charge the one or more battery packs with the determined charging current, when the determined charging current is less than the maximum charging current; and charge the one or more battery packs with the maximum charging current, when the determined charging current is greater than the maximum charging current.

[0021]

[0018] In another aspect, the present invention relates to a method for charging one or more battery packs. The method has the step of receiving, by a Battery Management System (BMS), one or more battery parameters corresponding to the one or more battery packs. The method further has the step of determining, by a control unit, a charging current corresponding to at least one of the one or more battery parameters of the one or more battery packs, one or more user parameters and one or more grid parameters of a power source. The method further has the step of providing, by a charger unit, the determined charging current to the one or more battery packs for charging.

[0022]

[0019] In an embodiment of the invention, the one or more battery parameters of the one or more battery packs is selected from a group comprising: a State of Charge (SOC) of the battery pack, a voltage of the battery pack, a current of the battery pack, a State of Health (SOH) of the battery pack, a temperature of the battery pack and a maximum charging current.

[0020] In an embodiment of the invention, the one or more user parameters has at least one of an input from a user corresponding to a next ride, the input from the user corresponding to a ride start time, the input from the user corresponding to a ride total distance, and the input from the user corresponding to a driving mode.

[0023]

[0021] In an embodiment of the invention, the one or more grid parameters comprises at least one of a peak consumption charge time, a non-peak consumption charge time, charges for a peak consumption and a non-peak consumption, a scheduled outage time and duration, a sudden outage time and duration, a State of Charge (SOC) of the grid, and a State of Health (SOH) of the grid.

[0024]

[0022] In an embodiment of the invention, the method has the step of charging, by the control unit, the one or more battery packs in a normal charging mode upon satisfaction of a first set of pre-defined conditions. The first set of the pre-defined conditions comprises one of: a current time being before or same as a peak start time and the ride start time being before or equal to the peak start time; the current time being after or equal to the peak end time and the ride start time being after or equal to the peak end time; and the current time being after the peak start time and the ride start time being before the peak end time.

[0025]

[0023] In an embodiment of the invention, the method has the step of charging, by the control unit, the one or more battery packs in an adaptive charging mode upon satisfaction of a second set of pre-defined conditions. The second set of the pre-defined conditions comprises one of: the current time being before or equal to the peak start time and the ride start time being after the peak end time; the current time being after the peak start time and the ride start time being after the peak end time; and the current time being before the peak start time and the ride start time being before or equal to the peak end time.

[0026]

[0024] In an embodiment of the invention, the control unit, upon determination of the current time being before or same as the peak start time and the ride start time being after the peak end time, is further configured to: start charging of the one or more battery packs immediately before the peak start time, stop charging of the one or more battery packs at the peak start time and restart charging of the one or more battery packs after the peak end time immediately, based on a detection of charging being complete in a non-peak time interval; or start charging of the one or more battery packs immediately before the peak start time, continue charging of the one or more battery packs at a required SOC during the peak time interval and resume charging of the one or more battery packs after the peak end time, based on the detection of the charging being incomplete in the non-peak time interval.

[0027]

[0025] In an embodiment of the invention, the control unit, upon determination of the current time being after the peak start time and the ride start time being after the peak end time, is further configured to: start charging of the one or more battery packs with a minimum charging current during a peak time interval and continue charging of the one or more battery packs with a required charging current during a non-peak time interval, based on a detection of charging being complete in the non-peak time interval; or start charging of the one or more battery packs at a required SOC during the peak time interval and resume charging of the one or more battery packs during the non- peak time interval, based on the detection of the charging being incomplete in the non- peak time interval.

[0028]

[0026] In an embodiment of the invention, the control unit, upon determination of the current time being before the peak start time and the ride start time being before or equal to the peak end time, is further configured to: start charging of the one or more battery packs with a required charging current during a non-peak time interval and continue charging of the one or more battery packs with a minimum charging current during a peak time interval, based on a detection of charging being complete in the non-peak time interval; or start charging of the one or more battery packs during the non-peak time interval and resume charging of the one or more battery packs at a required SOC during the peak time interval, based on the detection of the charging being incomplete in the non-peak time interval.

[0027] In an embodiment of the invention, the method has the step of storing, by the control unit, the charging current, the one or more battery parameters of the one or more battery packs, the one or more user parameters and the one or more grid parameters of the power source.

[0029]

[0028] In an embodiment of the invention, the method has the steps of determining, by the control unit, one or more operating parameters of the vehicle. The method further has the step of determining, by the control unit, the charging current corresponding to at least one of the one or more battery parameters of the one or more battery packs, the one or more user parameters, the one or more grid parameters of the power source, and the one or more operating parameters of the vehicle.

[0030]

[0029] In an embodiment of the invention, the method has the steps of: determining, by the control unit, an energy required for the next ride based on the one or more user parameters and an energy consumption based on a previous ride; determining, by the control unit, a SOC of the one or more battery packs required for the next ride; comparing, by the control unit, the required SOC of the one or more battery packs with a current SOC of the one or more battery packs; determining, by the control unit, a charging current for the one or more battery packs based on the comparison of the required SOC with the current SOC of the one or more battery packs and a time duration for the next ride; comparing, by the control unit, the determined charging current with the maximum charging current; charging, by the charger unit, the one or more battery packs with the determined charging current, when the determined charging current is less than the maximum charging current; and charging, by the charger unit, the one or more battery packs with the maximum charging current, when the determined charging current is greater than the maximum charging current.

[0031] BRIEF DESCRIPTION OF THE DRAWINGS

[0032]

[0030] Reference will be made to embodiments of the invention, examples of which may be illustrated in accompanying figures. These figures are intended to be illustrative, not limiting. Although the invention is generally described in context of these embodiments, it should be understood that it is not intended to limit the scope of the invention to these particular embodiments.

[0033] Figure 1 illustrates a block diagram of a system for charging a battery pack, in accordance with an embodiment of the present invention.

[0034] Figure 2 illustrates a flow diagram of a method for charging the battery pack, in accordance with an embodiment of the present invention.

[0035] Figure 3 illustrates the flow diagram of the method for charging the battery pack based on a user input, in accordance with an embodiment of the present invention.

[0036] Figure 4 illustrates the flow diagram of the method for charging the battery pack during a peak hour and a non-peak hour, in accordance with an embodiment of the present invention.

[0037] Figure 5A illustrates a graphical representation of the system for charging the battery pack when a charging duration is greater than the peak time duration, in accordance with an embodiment of the present invention.

[0038] Figure 5B illustrates the graphical representation of the system for charging the battery pack when the charging duration is smaller than the peak time duration, in accordance with an embodiment of the present invention.

[0039] Figure 5C illustrates the graphical representation of the system for charging the battery pack during the peak time duration, in accordance with an embodiment of the present invention.

[0040] Figure 6 illustrates the graphical representation of charging the battery pack, in accordance with an exemplary embodiment of the present invention.

[0041] Figure 7 illustrates the graphical representation of charging the battery pack, in accordance with an exemplary embodiment of the present invention.

[0042] Figure 8 illustrates the graphical representation of charging the battery pack in an adaptive charging mode, in accordance with an exemplary embodiment of the present invention. Figure 9 illustrates the graphical representation of charging the battery pack in the adaptive charging mode, in accordance with an exemplary embodiment of the present invention.

[0043] Figure 10 illustrates the graphical representation of charging the battery pack in the adaptive charging mode, in accordance with an exemplary embodiment of the present invention.

[0044] Figure 11 illustrates the graphical representation of charging the battery pack in the adaptive charging mode, in accordance with an exemplary embodiment of the present invention.

[0045] Figure 12 illustrates the graphical representation of charging the battery pack in the adaptive charging mode, in accordance with an exemplary embodiment of the present invention.

[0046] DETAILED DESCRIPTION OF THE INVENTION

[0047]

[0031] Various features and embodiments of the present invention here will be discernible from the following further description thereof, set out hereunder.

[0048]

[0032] The system and the method of the present invention are typically used in the vehicle such as a two-wheeled vehicle, or a three-wheeled vehicle including trikes, or a four-wheeled vehicle, or other multi-wheeled vehicles as required. Also, the system and the method of the present invention are typically used in the vehicle such as an electric vehicle (EV) or a hybrid vehicle requiring charging of the battery pack or battery packs for the range of the vehicle.

[0049]

[0033] Figure 1 illustrates a block diagram of the system 100 for charging a battery pack 102, in accordance with an embodiment of the present invention. As shown in Figure 1, the system 100 for charging the one or more battery packs 102 is disclosed. As disclosed herein, the present invention provides a smart adaptive charging system 100 and method 200 for charging the one or more battery packs 102. Herein, the ‘smart adaptive charging system’ refers to judiciously adjusting a rate of charging the one or more battery packs 102 based on certain factors such as battery temperature, state of charge, and usage patterns. The adaptive charging aims to prolong the life of the one or more battery packs 102. The present invention provides a reliable and efficient system 100 for charging the one or more battery packs 102, thereby increasing the overall life of the one or more battery packs 102.

[0050]

[0034] The system 100 comprises a Battery Management System (BMS) 104. The BMS 104 is configured to be operably connected to the one or more battery packs 102. In an embodiment, the battery pack 102 comprises one or more batteries connected together in a series connection, a parallel connection, or a series-parallel connection as per requirement. In an embodiment, the one or more battery packs 102 are configured to be disposed in the vehicle. The battery pack 102 is configured to provide a desired power output for the functioning of the vehicle. In an embodiment, the battery pack 102 is disposed on a frame member (not shown) of the vehicle. The BMS 104 is configured to manage the battery pack 102, thus ensuring the safety of the vehicle. The BMS 104 is configured to receive one or more battery pack parameters corresponding to the one or more battery packs 102. The BMS 104 monitors the health of the battery pack 102 by observing one or more battery parameters of the one or more battery packs 102. In an embodiment, one or more battery parameters of the one or more battery packs 102 are selected from a group comprising a State of Charge (SOC) of the battery pack 102, a voltage of the battery pack 102, a current of the battery pack 102, a State of Health SOH of the battery pack 102, a temperature of the battery pack 102, and a maximum charging current.

[0051]

[0035] The system 100 comprises a control unit 106. The control unit 106 is configured to be operably connected to the BMS 104. In an embodiment, the control unit 106 is communicably coupled to the one or more battery packs 102. In an embodiment, the control unit 106 is connected to the battery pack 102 wirelessly. In an embodiment, the control unit 106 is adapted to determine one or more operating parameters of the vehicle. The one or more operating parameters of the vehicle comprise a speed of the vehicle, a brake actuation, a throttle actuation, the one or more parameters pertaining to the battery pack 102, and the like. One or more sensors (not shown) are installed on the vehicle and are configured to procure information pertaining to each of the one or more operating parameters and parameters pertaining to the battery pack 102. In an embodiment, the one or more sensors comprises but is not limited to a battery monitoring sensor, a vehicle speed sensor, and the like.

[0052]

[0036] The control unit 106 is further configured to determine a charging current corresponding to at least one of the one or more battery parameters of the one or more battery packs 102, one or more user parameters and one or more grid parameters of a power source. The one or more battery parameters are selected from the group as described hereinabove. In a non-limiting embodiment, the one or more user parameters comprises at least one of an input from a user corresponding to a next ride, the input from the user corresponding to a ride start time, the input from the user corresponding to a ride total distance, and the input from the user corresponding to a driving mode. In yet another non-limiting embodiment, the one or more grid parameters comprises at least one of a peak consumption charge time, a non-peak consumption charge time, charges for a peak consumption and a non-peak consumption, a scheduled outage time and duration, a sudden outage time and duration, a State of Charge (SOC) of the grid, and a State of Health (SOH) of the grid.

[0053]

[0037] The system 100 further comprises a charger unit 108. The charger unit 108 is operably connectable to the one or more battery packs 102 and the control unit 106. The charger unit 108 upon electrically connecting to the power source and the one or more battery packs 102, is adapted to provide the determined charging current to the one or more battery packs 102 for charging. In an embodiment, the charger unit 108 comprises one or more electrical components that are configured to convert or modulate the power received from the power source for charging the battery pack 102.

[0038] In a non-limiting embodiment, the control unit 106 is adapted to determine the charging current corresponding to at least one of the one or more battery parameters of the one or more battery packs 102, the one or more user parameters, the one or more grid parameters of the power source, and the one or more operating parameters of the vehicle.

[0054]

[0039] In an embodiment, the control unit 106 is configured to charge the one or more battery packs 102 in one of the two modes namely, a normal charging mode and an adaptive charging mode. The control unit 106 is configured to charge the one or more battery packs 102 in the normal charging mode upon satisfaction of a first set of predefined conditions. In a non-limiting embodiment, the first set of the pre -defined conditions comprises one of: (1) a current time is before or same as a peak start time and the ride start time is before or equal to the peak start time; (2) the current time is after or equal to the peak end time and the ride start time is after or equal to the peak end time; and (3) the current time is after the peak start time and the ride start time is before the peak end time. That is, the current time at which the charging of the battery packs 102 needs to be initiated before the ride start time lies outside peak charges window of electricity consumption units. And thus, there is no need for adaptive charging to avoid the peak consumption charges and hence, charging can be done in the normal charging mode.

[0055]

[0040] In yet another embodiment, the control unit 106 is configured to charge the one or more battery packs 102 in the adaptive charging mode upon satisfaction of a second set of pre-defined conditions. In a non-limiting embodiment, the second set of the predefined conditions comprises one of: (1) the current time is before or equal to the peak start time and the ride start time is after the peak end time; (2) the current time is after the peak start time and the ride start time is after the peak end time; and (3) the current time is before the peak start time and the ride start time is before or equal to the peak end time. That is, the current time at which the charging of the battery packs needs to be initiated before the ride start time lies within peak charges window of electricity consumption units. And thus, there is a need for adaptive charging to avoid the peak consumption charges.

[0041] In an embodiment, upon determination that the current time is before or equal to the peak start time and the ride start time is after the peak end time and based on a detection that charging needs to be completed in a non-peak time interval to avoid peak consumption charges, the control unit 106 is configured to: start charging of the one or more battery packs 102 immediately before the peak start time, stop charging of the one or more battery packs 102 at the peak start time and restart charging of the one or more battery packs 102 after the peak end time immediately.

[0056]

[0042] In an embodiment, upon determination that the current time is before or equal to the peak start time and the ride start time is after the peak end time and based on the detection that the charging will be incomplete in the non-peak time interval, the control unit 106 is configured to: start charging of the one or more battery packs 102 immediately before the peak start time, continue charging of the one or more battery packs 102 at a required SOC with a required charging current during the peak time interval and resume charging of the one or more battery packs 102 after the peak end time.

[0057]

[0043] In an embodiment, upon determination that the current time is after the peak start time and the ride start time is after the peak end time and based on the detection that charging can be completed in the non-peak time interval, the control unit 106 is configured to: start charging of the one or more battery packs 102 with a minimum charging current during a peak time interval and continue charging of the one or more battery packs 102 with a required charging current during a non-peak time interval.

[0058]

[0044] In an embodiment, upon determination that the current time is after the peak start time and the ride start time is after the peak end time and based on the detection that the charging will be incomplete in the non-peak time interval, the control unit 106 is configured to: start charging of the one or more battery packs 102 at a required SOC during the peak time interval and resume charging of the one or more battery packs 102 during the non-peak time interval.

[0045] In an embodiment, upon determination that the current time is before the peak start time and the ride start time is before or equal to the peak end time and based on a detection that charging will be completed in the non-peak time interval, the control unit 106 is configured to: start charging of the one or more battery packs 102 with a required charging current during a non-peak time interval and continue charging of the one or more battery packs 102 with a minimum charging current during a peak time interval.

[0046] In an embodiment, upon determination that the current time is before the peak start time and the ride start time is before or equal to the peak end time and based on the detection that the charging will be incomplete in the non-peak time interval, the control unit 106 is further configured to: start charging of the one or more battery packs 102 during the non-peak time interval and resume charging of the one or more battery packs 102 at a required SOC during the peak time interval.

[0059]

[0047] In a non-limiting embodiment, the control unit 106 is configured to store the charging current, the one or more battery parameters of the one or more battery packs 102, the one or more user parameters, and the one or more grid parameters of the power source.

[0060]

[0048] In an exemplary embodiment, the control unit 106 is configured to determine an energy required for the next ride. The required energy is determined based on the one or more user parameters and energy consumption based on a previous ride. The control unit 106 is configured to determine a state of charge SOC of the one or more battery packs 102 required for the next ride and accordingly, compare the required SOC of the one or more battery packs 102 with a current SOC of the one or more battery packs 102. Then, the control unit 106 is further configured to determine a charging current for the one or more battery packs 102 based on the comparison of the required SOC with the current SOC of the one or more battery packs 102 and a time duration for the next ride and compare the determined charging current with the maximum charging current. The control unit 106 is configured to charge the one or more battery packs 102 with the determined charging current, when the determined charging current is less than the maximum charging current. The control unit 106 is configured to charge the one or more battery packs 102 with the maximum charging current, when the determined charging current is greater than the maximum charging current.

[0061]

[0049] In an example, the system has a 52V main battery and a battery management system. The high voltage battery is configured to supply the power to the powertrain and other low voltage loads including a smart infotainment system through a DC-DC buck converter. A control unit of the smart infotainment system is configured to implement the smart adaptive charging system as described hereinabove. A user of the vehicle is configured to receive and display a charging data, push notification and alert to the user on a user device. A Global Positioning System (GPS) system is also provided to get the current time and date. The system then has a charger configured to receive input in the form of charging rate calculation and accordingly provides the current to the battery. In the present EV charging system, a Bluetooth Low Energy (BLE) serves as a pivotal communication link between the user device and the infotainment system.

[0062]

[0050] In another aspect as depicted in Figure 2, the present invention relates to a flow diagram of a method 200 for charging the battery pack, in accordance with an embodiment of the present invention. The steps involved in the method 200 for charging the one or more battery packs 102 are illustrated in Figure 2. As illustrated, at step 202, the method 200 starts. At step 204, the one or more battery parameters corresponding to the one or more battery packs 102 are received by the Battery Management System (BMS) 104. The BMS 104 is configured to be operably connected to the one or more battery packs 102. In an embodiment, the battery pack 102 comprises one or more batteries connected together in a series connection, a parallel connection or a series-parallel connection as per requirement. In an embodiment, the one or more battery packs 102 are configured to be disposed in the vehicle. The battery pack 102 is configured to provide a desired power output for the functioning of the vehicle. In an embodiment, the battery pack 102 is disposed on a frame member (not shown) of the vehicle. The BMS 104 is configured to manage the battery pack 102, thus ensuring the safety of the vehicle. The BMS 104 is configured to receive one or more battery parameters corresponding to the one or more battery packs 102. The BMS 104 monitors the health of the battery pack 102 by observing the one or more battery parameters of the one or more battery packs 102. In an embodiment, the one or more battery parameters of the one or more battery packs 102 are selected from a group comprising a State of Charge (SOC) of the battery pack 102, a voltage of the battery pack 102, a current of the battery pack 102, a State of Health SOH of the battery pack 102, a temperature of the battery pack 102 and a maximum charging current.

[0063]

[0051] At step 206, the charging current corresponding to at least one of the one or more battery parameters of the one or more battery packs, the one or more user parameters and the one or more grid parameters of a power source are determined by the control unit 106. The control unit 106 is configured to be operably connected to the BMS 104. In an embodiment, the control unit 106 is communicably coupled to the one or more battery packs 102. In an embodiment, the control unit 106 is connected to the battery pack 102 wirelessly. In an embodiment, the control unit 106 is adapted to determine one or more operating parameters of the vehicle. The one or more operating parameters of the vehicle comprise a speed of the vehicle, a brake actuation, a throttle actuation, the one or more parameters pertaining to the battery pack 102 and the like. One or more sensors (not shown) are installed on the vehicle and are configured to procure information pertaining to each of the one or more operating parameters and parameters pertaining to the battery pack 102. In an embodiment, the one or more sensors comprises but is not limited to a battery monitoring sensor, a vehicle speed sensor and the like.

[0064]

[0052] In an embodiment, the one or more battery parameters are selected from the group as described hereinabove. In a non-limiting embodiment, the one or more user parameters has at least one of an input from a user corresponding to a next ride, the input from the user corresponding to a ride start time, the input from the user corresponding to a ride total distance, and the input from the user corresponding to a driving mode. In yet another non-limiting embodiment, the one or more grid parameters has at least one of a peak consumption charge time, a non-peak consumption charge time, charges for a peak consumption and a non-peak consumption, a scheduled outage time and duration, a sudden outage time and duration, a State of Charge (SOC) of the grid, and a State of Health (SOH) of the grid.

[0065]

[0053] At step 208, the determined charging current to the one or more battery packs 102 for charging are provided by the charger unit 108. The charger unit 108 is operably connectable to the one or more battery packs 102 and the control unit 106. The charger unit 108 upon electrically connecting to the power source and the one or more battery packs 102, is adapted to provide the determined charging current to the one or more battery packs 102 for charging. In an embodiment, the charger unit 108 comprises one or more electrical components that are configured to convert or modulate the power received from the power source for charging the battery pack 102.

[0066]

[0054] In a non-limiting embodiment, the control unit 106 is adapted to determine the charging current corresponding to at least one of the one or more battery parameters of the one or more battery packs 102, the one or more user parameters, the one or more grid parameters of the power source, and the one or more operating parameters of the vehicle. In a non-limiting embodiment, the control unit 106 is configured to store the charging current, the one or more battery parameters of the one or more battery packs 102, the one or more user parameters, and the one or more grid parameters of the power source. The method then terminates at step 210.

[0067]

[0055] Figure 3 illustrates the flow diagram 300 of the method for charging the battery pack based on a user input, in accordance with an embodiment of the present invention. As depicted in Figure 3, the method starts at 302. At step 304, the inputs from the user such as travel distance, travel time, driving mode, and the like are received. The EV driving modes can have a significant impact on the overall energy consumption and, consequently on the range of the vehicle. The choice of the driving mode determines the total power to be delivered to the wheels of the vehicle, thereby determining the efficiency of the vehicle. At step 306, the travel distance is calculated by including a buffer of approximately 10%. At step 308 and 310, the energy consumption is calculated based on last ride data.

[0068]

[0056] At step 312, the control unit 106 is configured to calculate the energy required for the next ride of the user based on the energy consumption calculated at step 310. Based on the energy required for the next ride and the total capacity of the battery pack 102, the SOC of the battery pack 102 required for the next ride is calculated at step 314. At step 316, data is received from the BMS 104 regarding the current state of the SOC. At step 318, the control unit 106 is configured to check if the current SOC is greater than the required SOC. If the current SOC is greater than the required SOC, then the method at step 320 checks the need to further charge the battery pack 102. Based on the need, the battery pack 102, at step 322, is fully charged at the lowest possible charging rate, thereby enhancing the life and efficiency of the battery pack 102.

[0069]

[0057] However, if the current SOC is less than the required SOC, then the control unit 106, at step 324, is configured to check if the required SOC is less than the total SOC. In both the scenarios, if the required SOC is less than the total SOC or if the required SOC is greater than the total SOC, then at step 326 and at step 328, the control unit 106 is configured to calculate the SOC that the battery pack 102 has to be charged to.

[0070]

[0058] Further, at step 330, the control unit 106 is configured to calculate the time duration based on the time of travel and the current time. At step 332, the required charging current is calculated based on the total capacity of the battery pack 102, as shown at step 334. Further, at step 336, the minimum charging completion time is calculated by the control unit 106 based on the current time. At step 338, the control unit 106 is configured to check if the maximum allowed current is less than or equal to the charging current. At step 340, if the maximum allowed current is not less than or equal to the charging current, then the charging of the battery pack 102 is done based on the calculated charging current. However, at step 342, if the maximum allowed current is less than or equal to the charging current, then the final SOC is calculated based on the maximum charging current allowed. The final SOC is displayed to the user at step 344. At step 346, the charging of the battery pack 102 is done based on the maximum allowed charging current, thereby efficiently charging the battery pack 102.

[0059] In an exemplary embodiment, the control unit 106 is configured to determine an energy required for the next ride based on the one or more user parameters and the energy consumption based on a previous ride, determine the SOC of the one or more battery packs 102 required for the next ride, compare the required SOC of the one or more battery packs 102 with the current SOC of the one or more battery packs 102, determine the charging current for the one or more battery packs 102 based on the comparison of the required SOC with the current SOC of the one or more battery packs 102 and a time duration for the next ride. The control unit 106 is further configured to compare the determined charging current with the maximum charging current, charge the one or more battery packs 102 with the determined charging current, when the determined charging current is less than the maximum charging current, and charge the one or more battery packs 102 with the maximum charging current, when the determined charging current is greater than the maximum charging current.

[0071]

[0060] Figure 4 illustrates the flow diagram 400 of the method for charging the battery pack during a peak hour and a non-peak hour, in accordance with an embodiment of the present invention. In an embodiment, the control unit 106 is configured to charge the one or more battery packs 102 in one of the two modes namely, the normal charging mode and the adaptive charging mode, as shown at step 402. At step 404, input from the user is received in the form of a time of travel, distance of travel, the driving mode, and the like as described hereinabove. At step 406, the determination of the charging of the battery pack 102 in the normal charging mode and the adaptive charging mode is decided based on the current time, peak start time, peak end time and ride start time. At step 408, the control unit 106 is configured to check if the charging is to be done in the normal charging mode or the adaptive charging mode. The steps corresponding to 410-426 depicts the normal charging mode, whereas the steps corresponding to 428- 472 depicts the adaptive charging mode based on the requirements of the user.

[0072]

[0061] The control unit 106 is configured to charge the one or more battery packs 102 in the normal charging mode upon satisfaction of a first set of pre-defined conditions. In a non-limiting embodiment and as shown at steps 410-414, the first set of the predefined conditions comprises that the current time is before or same as the peak start time and the ride start time is before or equal to the peak start time. The present scenario is related to a pure non-peak window leading (case 1 as depicted in Figures 5A-5C) as shown at step 412 and therefore, the charging is done as usual in the normal charging mode as there is no change in the region at step 414.

[0073]

[0062] In a non-limiting embodiment and as shown at steps 416-420, the first set of the pre-defined conditions comprises that the current time is after or equal to the peak end time and the ride start time is after or equal to the peak end time. The present scenario is related to a pure non-peak window trailing (case 2 as depicted in Figures 5A-5C) as shown at step 418 and therefore, the charging is done as usual in the normal charging mode as there is no change in the region at step 420.

[0074]

[0063] In a non-limiting embodiment and as shown at steps 422-426, the first set of the pre-defined conditions comprises that the current time is after the peak start time and the ride start time is before the peak end time. The present scenario is related to a pure peak window (case 3 as depicted in Figures 5A-5C) as shown at step 424 and therefore, the charging is done as usual in the normal charging mode as there is no change in the region at step 426.

[0075]

[0064] In yet another embodiment and as shown at steps 428-444, the control unit 106 is configured to charge the one or more battery packs 102 in the adaptive charging mode upon satisfaction of the second set of pre-defined conditions. In a non-limiting embodiment, the second set of the pre-defined conditions comprises that the current time is before or equal to the peak start time and the ride start time is after the peak end time. The present case is referred to as hybrid window enclosing peak hours (case 4 as depicted in Figures 5A-5C). In an embodiment, upon determination of the current time is before or same as the peak start time and the ride start time is after the peak end time, the control unit 106 is further configured to: start charging of the one or more battery packs 102 immediately before the peak start time, stop charging of the one or more battery packs 102 at the peak start time and restart charging of the one or more battery packs 102 after the peak end time immediately, based on a detection of charging is complete in a non -peak time interval. The control unit 106 is further configured to start charging of the one or more battery packs 102 immediately before the peak start time, continue charging of the one or more battery packs 102 at a required SOC during the peak time interval and resume charging of the one or more battery packs 102 after the peak end time, based on the detection of the charging is incomplete in the non-peak time interval.

[0076]

[0065] In yet another embodiment and as shown at steps 446-458, the control unit 106 is configured to charge the one or more battery packs 102 in the adaptive charging mode upon satisfaction of the second set of pre-defined conditions. The present case is referred to as hybrid window with trailing non-peak hours (case 5 as depicted in Figures 5A-5C). In a non-limiting embodiment, the second set of the pre-defined conditions comprises that the current time is after the peak start time and the ride start time is after the peak end time. In an embodiment, upon determination of the current time is after the peak start time and the ride start time is after the peak end time, the control unit 106 is further configured to start charging of the one or more battery packs 102 with a minimum charging current during a peak time interval and continue charging of the one or more battery packs 102 with a required charging current during a non-peak time interval, based on a detection of charging is complete in the non-peak time interval. The control unit 106 is also configured to start charging of the one or more battery packs 102 at a required SOC during the peak time interval and resume charging of the one or more battery packs 102 during the non -peak time interval, based on the detection of the charging is incomplete in the non-peak time interval.

[0077]

[0066] In yet another embodiment and as shown at steps 460-472, the control unit 106 is configured to charge the one or more battery packs 102 in the adaptive charging mode upon satisfaction of the second set of pre-defined conditions. The present case is referred to as hybrid window with leading non-peak hours (case 6 as depicted in Figures 5A-5C). In a non-limiting embodiment, the second set of the pre-defined conditions comprises that the current time is before the peak start time and the ride start time is before or equal to the peak end time. In an embodiment, upon determination of the current time is before the peak start time and the ride start time is before or equal to the peak end time, the control unit 106 is further configured to start charging of the one or more battery packs 102 with a required charging current during a non-peak time interval and continue charging of the one or more battery packs 102 with a minimum charging current during a peak time interval, based on a detection of charging is complete in the non-peak time interval. The control unit 106 is further configured to start charging of the one or more battery packs 102 during the non-peak time interval and resume charging of the one or more battery packs 102 at a required SOC during the peak time interval, based on the detection of the charging is incomplete in the non- peak time interval.

[0078]

[0067] Figure 5 A illustrates a graphical representation 500A of the system for charging the battery pack 102 when the charging duration is greater than the peak time duration, in accordance with an embodiment of the present invention. Figure 5B illustrates the graphical representation 500B of the system for charging the battery pack when the charging duration is smaller than the peak time duration, in accordance with an embodiment of the present invention. Figure 5C illustrates the graphical representation 500C of the system for charging the battery pack during the peak time duration, in accordance with an embodiment of the present invention.

[0068] In an embodiment, there are two methods to calculate the charging current in a Constant Voltage (CV) mode. The first method is known as Transition Point Calculation based on an area under curve. This method is configured to use the area under curve. By equating the areas, the method is configured to calculate the initial transition point, wherein the charging method changes from a Constant Current (CC) mode to the CV mode, when the charging time is not considered. When the charging time is considered, the method is configured to be repeated multiple times to get the actual transition point. The second method is known as Transition Point Calculation based on total time. This method is configured to calculate the charging current only once. Herein, the transition point is calculated by considering the total time which gives the accurate result. In this method, no iterative calculations are involved.

[0079]

[0069] As further depicted in Figures 5A-5C, the Peak and Non-Peak process is a crucial approach to manage the energy consumption efficiently, thereby reducing the strain on the grid. The peak energy demand on the grid occurs during specific hours of the day, and sudden surges in the energy demand during the peak hours can strain the grid. The non-peak charging has several benefits such as reduced electricity costs, grid stability, user convenience, and the like. The present system and method are configured to continue charging in non-peak time and during the peak time, the charging is done based on the minimal current to overcome any unavoidable events like power outages and surge pricing.

[0080]

[0070] Figures 6-7 illustrate the graphical representations of charging the battery pack 102, in accordance with an exemplary embodiment of the present invention. As depicted, the maximum current that the battery pack 102 is configured to take in the final phase of charging (which is generally a CV phase) is determined. As depicted in Figure 6, during initial testing, the value of current being computed was fluctuating too much as seen in the graph, which is not a desirable case. The value of current fluctuated due to change in the available time as the same was updating every minute. To overcome this issue, as further depicted in Figure 7, the predictor corrector method is applied. Using this method, it is predicted that when the SoC will change and update, the available time to charge is updated according to it, which makes the current value more stable. From the graph shown in Figure 7, the current value is more stable than the current value as shown in Figure 6.

[0081]

[0071] Figures 8-12 illustrate the graphical representation of charging the battery pack in the adaptive charging mode, in accordance with an exemplary embodiment of the present invention. As shown in Figure 8, the rise in the R line is the peak hours. The line marked as O is the average battery SOC and the same is gradually increasing. The line marked as P is the total charging current showing the charging current in the peak hours. As depicted, the graphical representation is configured to support the hybrid window peak enclosing hours as shown in Figure 5C. In an example, the current SOC is 57% and for the next trip, distance is of 62 km. The SOC difference to be charged is 7%. As depicted in Figures 8-12, the SOC% decreases from 7 to 6 to 1 and the average battery SOC parameter increases from 57 correspondingly. The total time available to charge the battery pack is 31 minutes. Hence, the charging of the battery pack during the peak time is done for 10 minutes and during the non-peak time is 21 minutes.

[0082]

[0072] Advantageously, the present invention provides a system and a method for charging the battery pack, wherein the system and the method enhance the overall user experience by efficiently charging the battery pack. Further, the present invention allows for providing an accurate, efficient, and reliable system for charging the battery pack. The present invention saves a lot of time and is cost-effective as well. The present invention allows for understanding the overall driving range of the vehicle and therefore, the user experience is enhanced by charging the battery pack based on the requirements.

[0083]

[0073] The present system positively impacts the society by promoting environmental sustainability, optimizing energy resources, reducing costs for consumers, stimulating economic activity, and contributing to the overall advancement of smart and sustainable infrastructure. Therefore, the present invention enhances the overall customer experience by providing a more efficient, cost-effective, and sustainable approach to electric vehicle charging. The present invention is beneficial to the users in terms of improved battery health, reduced costs, and a user-friendly interface, aligning with the evolving expectations of the electric vehicle users, reducing battery warranty cost, enhancing product differentiation, customer satisfaction, and environmental sustainability. The present invention is efficient and reliable as the same considers the battery pack parameters, the grid parameters and the user parameters. The present invention is cost-effective and increases the durability of the battery pack.

[0084]

[0074] In light of the abovementioned advantages and the technical advancements provided by the disclosed method and system, the claimed steps as discussed above are not routine, conventional, or well understood in the art, as the claimed steps enable the following solutions to the existing problems in conventional technologies. Further, the claimed steps clearly bring an improvement in the functioning of the device itself as the claimed steps provide a technical solution to a technical problem.

[0085]

[0075] Furthermore, one or more computer-readable storage media may be utilized in implementing embodiments consistent with the present disclosure. A computer- readable storage medium refers to any type of physical memory on which information or data readable by a processor may be stored. Thus, a computer -readable storage medium may store instructions for execution by one or more processors, including instructions for causing the processor(s) to perform steps or stages consistent with the embodiments described herein. The term “computer-readable medium” should be understood to include tangible items and exclude carrier waves and transient signals, i.e., be non-transitory. Examples include random access memory (RAM), read-only memory (ROM), volatile memory, non-volatile memory, hard drives, CD ROMs, DVDs, flash drives, disks, and any other known physical storage media.

[0086]

[0076] While the present invention has been described with respect to certain embodiments, it will be apparent to those skilled in the art that various changes and modification may be made without departing from the scope of the invention as defined in the following claims.

[0087] List of Reference Numerals 100: System for charging one or more Battery Packs

[0088] 102: One or More Battery Packs

[0089] 104: Battery Management System (BMS)

[0090] 106: Control Unit

[0091] 108: Charger Unit 200: Method for charging one or more Battery Packs

Claims

WE CLAIM:

1. A system (100) for charging one or more battery packs (102), the system (100) comprising: a Battery Management System (BMS) (104), the BMS (104) operably connected to the one or more battery packs (102), the BMS (104) being configured to receive one or more battery parameters corresponding to the one or more battery packs (102); a control unit (106), the control unit (106) operably connected to the BMS (104), the control unit (106) being configured to determine a charging current corresponding to at least one of the one or more battery parameters of the one or more battery packs (102), one or more user parameters and one or more grid parameters of a power source; and a charger unit (108), the charger unit (108) operably connected to the one or more battery packs (102) and the control unit (106), the charger unit (108) being adapted to provide the determined charging current to the one or more battery packs (102) for charging.

2. The system (100) as claimed in claim 1, wherein the one or more battery parameters of the one or more battery packs (102) being selected from a group comprising: a State of Charge (SOC) of the battery pack (102), a voltage of the battery pack (102), a current of the battery pack (102), a State of Health (SOH) of the battery pack (102), a temperature of the battery pack (102) and a maximum charging current.

3. The system (100) as claimed in claim 1, wherein the one or more user parameters comprise at least one of an input from a user corresponding to a next ride, the input from the user corresponding to a ride start time, the input from the user corresponding to a ride total distance, and the input from the user corresponding to a driving mode.

4. The system (100) as claimed in claim 1, wherein the one or more grid parameters comprises at least one of a peak consumption charge time, a non-peak consumption charge time, charges for a peak consumption and a non-peak consumption, a scheduled outage time and duration, a sudden outage time and duration, a State of Charge (SOC) of the grid, and a State of Health (SOH) of the grid.

5. The system (100) as claimed in claim 3, wherein the control unit (106) being configured to charge the one or more battery packs (102) in a normal charging mode upon satisfaction of a first set of pre-defined conditions, the first set of the pre-defined conditions comprises one of: a current time being before or same as a peak start time and the ride start time being before or equal to the peak start time; the current time being after or equal to the peak end time and the ride start time being after or equal to the peak end time; and the current time being after the peak start time and the ride start time being before the peak end time.

6. The system (100) as claimed in claim 5, wherein the control unit (106) being configured to charge the one or more battery packs (102) in an adaptive charging mode upon satisfaction of a second set of pre-defined conditions, the second set of the pre-defined conditions comprises one of: the current time being before or equal to the peak start time and the ride start time being after the peak end time; the current time being after the peak start time and the ride start time being after the peak end time; and the current time being before the peak start time and the ride start time being before or equal to the peak end time.

7. The system (100) as claimed in claim 6, wherein upon determination of the current time being before or same as the peak start time and the ride start time being after the peak end time, the control unit (106) being further configured to: start charging of the one or more battery packs (102) immediately before the peak start time, stop charging of the one or more battery packs (102) at the peak start time and restart charging of the one or more battery packs (102) after the peak end time immediately, based on a detection of charging being complete in a non-peak time interval; or start charging of the one or more battery packs (102) immediately before the peak start time, continue charging of the one or more battery packs (102) at a required SOC during the peak time interval and resume charging of the one or more battery packs (102) after the peak end time, based on the detection of the charging being incomplete in the non-peak time interval.

8. The system (100) as claimed in claim 6, wherein upon determination of the current time being after the peak start time and the ride start time being after the peak end time, the control unit (106) being further configured to: start charging of the one or more battery packs (102) with a minimum charging current during a peak time interval and continue charging of the one or more battery packs (102) with a required charging current during a non-peak time interval, based on a detection of charging being complete in the non-peak time interval; or start charging of the one or more battery packs (102) at a required SOC during the peak time interval and resume charging of the one or more battery packs (102) during the non-peak time interval, based on the detection of the charging being incomplete in the non-peak time interval.

9. The system (100) as claimed in claim 6, wherein upon determination of the current time being before the peak start time and the ride start time being before or equal to the peak end time, the control unit (106) being further configured to: start charging of the one or more battery packs (102) with a required charging current during a non-peak time interval and continue charging of the one or more battery packs (102) with a minimum charging current during a peak time interval, based on a detection of charging being complete in the non-peak time interval; or start charging of the one or more battery packs (102) during the non-peak time interval and resume charging of the one or more battery packs (102) at a required SOC during the peak time interval, based on the detection of the charging being incomplete in the non-peak time interval.

10. The system (100) as claimed in claim 1, wherein the control unit (106) being configured to store the charging current, the one or more battery parameters of the one or more battery packs (102), the one or more user parameters, and the one or more grid parameters of the power source.

11. The system (100) as claimed in claim 1, wherein the one or more battery packs (102) being disposed in a vehicle, the control unit (106) being adapted to determine one or more operating parameters of the vehicle, wherein the control unit (106) being adapted to determine the charging current corresponding to at least one of the one or more battery parameters of the one or more battery packs (102), the one or more user parameters, the one or more grid parameters of the power source, and the one or more operating parameters of the vehicle.

12. The system (100) as claimed in claim 3, wherein the control unit (106) being configured to:determine an energy required for the next ride based on the one or more user parameters and an energy consumption based on a previous ride; determine a state of charge (SOC) of the one or more battery packs (102) required for the next ride; compare the required SOC of the one or more battery packs (102) with a current SOC of the one or more battery packs (102); determine a charging current for the one or more battery packs (102) based on the comparison of the required SOC with the current SOC of the one or more battery packs (102) and a time duration for the next ride; compare the determined charging current with the maximum charging current; charge the one or more battery packs (102) with the determined charging current, when the determined charging current is less than the maximum charging current; and charge the one or more battery packs (102) with the maximum charging current, when the determined charging current is greater than the maximum charging current.

13. A method (200) for charging one or more battery packs (102), the method (200) comprising: receiving, by a Battery Management System (BMS) (104), one or more battery parameters corresponding to the one or more battery packs (102); determining, by a control unit (106), a charging current corresponding to at least one of the one or more battery parameters of the one or more battery packs (102), one or more user parameters and one or more grid parameters of a power source; and providing, by a charger unit (108), the determined charging current to the one or more battery packs (102) for charging.

14. The method (200) as claimed in claim 13, wherein the one or more battery parameters of the one or more battery packs (102) being selected from a group comprising: a State of Charge (SOC) of the battery pack (102), a voltage of the battery pack (102), a current of the battery pack (102), a State of Health (SOH) of the battery pack (102), a temperature of the battery pack (102) and a maximum charging current.

15. The method (200) as claimed in claim 13, wherein the one or more user parameters comprise at least one of an input from a user corresponding to a next ride, the input from the user corresponding to a ride start time, the input from the user corresponding to a ride total distance, and the input from the user corresponding to a driving mode.

16. The method (200) as claimed in claim 13, wherein the one or more grid parameters comprises at least one of a peak consumption charge time, a non-peak consumption charge time, charges for a peak consumption and a non-peak consumption, a scheduled outage time and duration, a sudden outage time and duration, a State of Charge (SOC) of the grid, and a State of Health (SOH) of the grid.

17. The method (200) as claimed in claim 15, the method (200) comprising the step of: charging, by the control unit (106), the one or more battery packs (102) in a normal charging mode upon satisfaction of a first set of pre-defined conditions, the first set of the pre-defined conditions comprises one of: a current time being before or same as a peak start time and the ride start time being before or same as to the peak start time; the current time being after or same as to the peak end time and the ride start time being after or same as to the peak end time; and the current time being after the peak start time and the ride start time being before the peak end time.

18. The method (200) as claimed in claim 17, the method (200) comprising the step of: charging, by the control unit (106), the one or more battery packs (102) in an adaptive charging mode upon satisfaction of a second set of pre-defined conditions, the second set of the pre-defined conditions comprises one of: the current time being before or same as the peak start time and the ride start time being after the peak end time; the current time being after the peak start time and the ride start time being after the peak end time; and the current time being before the peak start time and the ride start time being before or same as the peak end time.

19. The method (200) as claimed in claim 18, wherein upon determination of the current time being before or equal to the peak start time and the ride start time being after the peak end time, the control unit (106) being further configured to: start charging of the one or more battery packs (102) immediately before the peak start time, stop charging of the one or more battery packs (102) at the peak start time and restart charging of the one or more battery packs (102) after the peak end time immediately based on a detection of charging being complete in a non-peak time interval; or start charging of the one or more battery packs (102) immediately before the peak start time, continue charging of the one or more battery packs (102) at a required SOC during the peak time interval and resume charging of the one or more battery packs (102) after the peak end time based on the detection of the charging being incomplete in the non-peak time interval.

20. The method (200) as claimed in claim 18, wherein upon determination of the current time being after the peak start time and the ride start time being after the peak end time, the control unit (106) being further configured to:start charging of the one or more battery packs (102) with a minimum charging current during a peak time interval and continue charging of the one or more battery packs (102) with a required charging current during a non-peak time interval based on a detection of charging being complete in the non-peak time interval; or start charging of the one or more battery packs (102) at a required SOC during the peak time interval and resume charging of the one or more battery packs (102) during the non-peak time interval based on the detection of the charging being incomplete in the non-peak time interval.

21. The method (200) as claimed in claim 18, wherein upon determination of the current time being before the peak start time and the ride start time being before or equal to the peak end time, the control unit (106) being further configured to: start charging of the one or more battery packs (102) with a required charging current during a non-peak time interval and continue charging of the one or more battery packs (102) with a minimum charging current during a peak time interval based on a detection of charging being complete in the non-peak time interval; or start charging of the one or more battery packs (102) during the non-peak time interval and resume charging of the one or more battery packs (102) at a required SOC during the peak time interval based on the detection of the charging being incomplete in the non-peak time interval.

22. The method (200) as claimed in claim 13, wherein the method (200) comprising the step of: storing, by the control unit (106), the charging current, the one or more battery parameters of the one or more battery packs (102), the one or more user parameters and the one or more grid parameters of the power source.

23. The method (200) as claimed in claim 13, wherein the method (200) comprising the steps of: determining, by the control unit (106), one or more operating parameters of a vehicle, wherein the one or more battery packs (102) being disposed in the vehicle; and determining, by the control unit (106), the charging current corresponding to at least one of the one or more battery parameters of the one or more battery packs (102), the one or more user parameters, the one or more grid parameters of the power source and the one or more operating parameters of the vehicle.

24. The method (200) as claimed in claim 15, wherein the method (200) comprising the steps of: determining, by the control unit (106), an energy required for the next ride based on the one or more user parameters and an energy consumption based on a previous ride; determining, by the control unit (106), a SOC of the one or more battery packs (102) required for the next ride; comparing, by the control unit (106), the required SOC of the one or more battery packs (102) with a current SOC of the one or more battery packs (102); determining, by the control unit (106), a charging current for the one or more battery packs (102) based on the comparison of the required SOC with the current SOC of the one or more battery packs (102) and a time duration for the next ride; comparing, by the control unit (106), the determined charging current with the maximum charging current;charging, by the charger unit (108), the one or more battery packs (102) with the determined charging current, when the determined charging current is less than the maximum charging current; and charging, by the charger unit (108), the one or more battery packs (102) with the maximum charging current, when the determined charging current is greater than the maximum charging current.

Images