Estimating and Enhancing Residual Performance in an Energy Storage System

Abstract

A system and method is provided for estimating and enhancing performance that can be delivered by an energy storage system beyond the energy storage system's warranty period. The system includes an energy management system configured to communicate and manage the energy storage system and a data processing system configured to communicate with the energy management system. The system is configured to estimate performance delivered by the energy storage system beyond the energy storage system's warranty period, identify adaptations to be made to enhance the performance of the energy storage system, and make adaptations to the energy storage system, thereby enhancing the performance that can be delivered by an energy storage system beyond the energy storage system's warranty period.

Description

FIELD

Embodiments disclosed herein relate to energy storage systems (ESS), and more particularly but not exclusively, to enhancing and estimating life of ESS.

BACKGROUND

ESS, such as, batteries are used to power systems, such as, electric vehicles, hybrid vehicles and uninterruptible power supply systems, among other systems. Over a period of usage the ESS starts to degrade and results in reduced performance being delivered by the ESS. The degradation of the ESS may be due to various factors, such as, pattern in which the ESS may be used, operating conditions, and improper maintenance of the ESS, among others. Further, in some cases the ESS begins to degrade faster than usual, and if corrective measures are not taken then the life of the ESS is eventually reduced.

Typically, manufacturers provide warranty with respect to performance of the ESS based on the application the ESS is meant to be used. Further, the warranty period is based on the normal working condition of the ESS in the application it is used. Generally, beyond the warranty period the ESS normally do not deliver the desired performance.

The ESS, even though normally do not deliver the performance desired for its initial application after the warrant period, they can be used beyond the warrant period for the same application for some more duration, however with lower performance. Alternatively, the ESS can be used beyond the warrant period for some other application for some more duration, where performance level lower than the initial performance level is satisfactory.

In light of the foregoing discussion, it would be desirable to know the performance the ESS may deliver. Additionally, it would be desirable to enhance the performance that the ESS can deliver and also increase the duration for which the ESS can be used.

STATEMENT OF INVENTION

Accordingly the invention provides a method and system for estimating performance delivered by an energy storage system. The method includes, collecting data corresponding to the energy storage system, generating behavioral pattern of the energy storage system using at least a portion of the collected data, comparing the behavioral pattern with patterns developed using historical data, identifying a pattern among the patterns developed using historical data, wherein the identified pattern is similar to the behavioral pattern of the energy storage system, and estimating the performance delivered by an energy storage system based on performance indicated in the identified pattern.

There is also provided a method and system for enhancing performance that can be delivered by an energy storage system. The method includes, identifying adaptations to be made to enhance the performance of the energy storage system, and making adaptations to the energy storage system, thereby enhancing the performance that can be delivered by an energy storage system.

These and other aspects of the embodiments herein will be better appreciated and understood when considered in conjunction with the following description and the accompanying drawings. It should be understood, however, that the following descriptions, while indicating preferred embodiments and numerous specific details thereof, are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the embodiments herein without departing from the spirit thereof, and the embodiments herein include all such modifications.

BRIEF DESCRIPTION OF FIGURES

Embodiments herein are illustrated in the accompanying drawings, through out which like reference letters indicate corresponding parts in the various figures. The embodiments herein will be better understood from the following description with reference to the drawings, in which:

FIGS. 1 and 1a are block diagrams illustrating a system 100 for enabling determination and enhancement of the performance the ESS 102 may deliver, in accordance with an embodiment;

FIG. 2 is a block diagram illustrating an EMS 104, in accordance with an embodiment;

FIG. 3 is a flowchart illustrating a method for determining performance/life of the ESS 102, in accordance with an embodiment;

FIG. 4 illustrates an exemplary graph of affect of operating temperature on capacity of the ESS 102, in accordance with an embodiment;

FIG. 5 illustrates an exemplary graph of affect of state of charge during idle period on life of the ESS 102, in accordance with an embodiment;

FIG. 6 is a flow chart illustrating a method for enhancing performance/life of the ESS 102, in accordance with an embodiment;

FIG. 7 illustrates an adaptation that is made to the ESS 102, in accordance with an embodiment; and

FIG. 8 is a graph illustrating charge and discharge pattern of ESS, in accordance with an embodiment.

DETAILED DESCRIPTION

The embodiments herein and the various features and advantageous details thereof are explained more fully with reference to the non-limiting embodiments that are illustrated in the accompanying drawings and detailed in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the embodiments herein. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein may be practiced and to further enable those of skill in the art to practice the embodiments herein. Accordingly, the examples should not be construed as limiting the scope of the embodiments herein.

The embodiments herein enable estimation of performance an energy storage system ESS may deliver. Additionally, the embodiments disclosed herein enable enhancement of performance that the ESS can deliver. Referring now to the drawings, and more particularly to FIGS. 1 through 8, where similar reference characters denote corresponding features consistently throughout the figures, there are shown preferred embodiments.

System Description

FIG. 1 is a block diagram illustrating a system 100 for enabling estimation of the performance the ESS 102 may deliver, in accordance with an embodiment. Further, the system 100 can enable enhancement of performance the ESS 102 can deliver. The system 100 includes ESS 102, an energy management system (EMS) 104, and a data processing system (DPS) 106. The ESS 102 is configured to be managed by EMS 104. Further, the EMS 104 is configured to communicate with DPS 106 over a communication network 108. The communication network 108 can include wired means, wireless means or a combination of wired and wireless means, thereby enabling communication between the EMS 104 and the DPS 106. By way of example, the EMS 104 and DPS 106 can communicate over a telecommunication network. Further, in an embodiment, the DPS 106 can be located at a location that is remote to the location of the ESS 102 and the EMS 104.

Energy Storage System

The ESS 102 can be a battery pack capable of storing electricity. The ESS 102, by way of example, may comprise, one or more or in combination, Lead-acid battery, Gel battery, Lithium ion battery, Lithium ion polymer battery, NaS battery, Nickel-iron battery, Nickel metal hydride battery, Nickel-cadmium battery, and capacitors among others. The ESS is configured to be managed by EMS 104.

Energy Management Systems

FIG. 2 is a block diagram illustrating an EMS 104, in accordance with an embodiment. EMS 104 comprises a processor 202, memory device 204, input and output (I/O) device 206 and signal transmitting and receiving device 208. Processor 202 is capable of receiving and processing data obtained from, I/O device 206, signal transmitting and receiving device 208, and memory device 204. Further, the processor 202 is capable of sending data to memory device 204 for storage. Additionally, the processor 202 is capable of sending commands to I/O device 206 which in turn are communicated to systems and sub-systems associated with the I/O device 206. Further, the processor 202 is capable of sending data to signal transmitting and receiving device 208 for transmitting the data to DPS 106 and the like. In an embodiment, processor 202 is made of electronic circuits comprising commercially available general purpose microcontroller chips. The memory device 204 may comprise a combination of volatile and non volatile memory chips that can store information in digital form. The I/O device 206 comprises sets of output lines each of which is individually connected to the processor 202. These output lines may be a combination of analog inputs, analog outputs, digital inputs, digital outputs, pulse/frequency outputs and data lines. The data lines are connected to the external world through signal transmitting and receiving device 208.

Data Processing System

The EMS 104 can be configured to transmit data to remote locations and receive data from remote locations. In some embodiments, the EMS 104 communicates with one or more DPSs, which can be located at any location, including one or more remote locations. The DPS 106 can include one or more memory devices connected to one or more processing units. The one or more processing units can include, for example, a general-purpose microprocessor, an application-specific integrated circuit, a field-programmable gate array, another device capable of manipulating data, or a combination of devices. In certain embodiments, at least some of the one or more memory devices are integrated with at least one of the processing units. In an embodiment, a DPS 104 is a dedicated computer capable of wirelessly communicating over a telecommunication network. In other embodiments, the DPS may be a discrete set of components that perform the functions of a DPS as described herein.

In an embodiment, the ESS 102 and EMS 104 can be subsystems of an energy system 110, as illustrated in FIG. 1a. The energy system 110 includes ESS 102, EMS 104 and energy consumption system (ECS) 112. One or more subsystems of the ECS 112 are configured to consume energy stored in the ESS 102. Further, in an embodiment, the EMS 104 is configured to manage both the ESS 102 and the ECS 112. Examples of energy system 110 include, but are not limited to, electric vehicles, hybrid electric vehicles, and uninterruptable power supply systems. Further, the ECS 112, in an embodiment wherein energy system 110 is an electric vehicle, can include sub-systems, such as, drive train, motor controller, cabin climate control, subsystem climate control, charging system, dashboard display, car access system, drive motor, seat climate control, cabin HVAC, add-on heating system, battery heater, battery ventilation, on board charger, safety system, crash sensor, sensing system, temperature sensor, fluid level sensor, and pressure sensor, among others. The one or more subsystems of the ECS 112 at least partially consume electric energy stored in the ESS 102. The distribution of the electric energy stored in the ESS 102 to the sub-systems of the ECS 112 is at least partially managed by the EMS 104.

Method for Estimating Performance That May be Delivered by ESS 102

FIG. 3 is a flowchart illustrating a method for determining performance (it may be noted that the word ‘performance’ in certain embodiments is used to refer to life of the ESS 102) that may be delivered by the ESS 102, in accordance with an embodiment. At step 302 data corresponding to the ESS 102 is collected. It may be noted that several parameters corresponding to the ESS 102 affect the performance that may be delivered by ESS 102. Hence, to determine the performance that may be delivered by ESS 102, parameters corresponding to the ESS 102 are monitored. Data corresponding to the parameters corresponding to the ESS 102 are collected by the EMS 104. In an embodiment, the EMS 104 collects data in substantially real time. In another embodiment, the data is collected by the EMS 104 at intervals of time. Further, the data collected by the EMS 104 is transmitted to the DPS 106. In an embodiment, the EMS 104 processes the collected data, and transmits the processed data to the DPS 106 through the signal transmitting and receiving device 208. Further, in an embodiment, the EMS 104 transmits all the collected data to the DPS 106. Alternatively, the EMS 104 may transmit collected data partially to the DPS 106.

The data collected from the ESS 102 is used to generate behavioral pattern of the ESS 102, at step 304. The pattern represents the manner in which the ESS 102 has been performing. The pattern can be used to estimate the performance of the ESS 102. To estimate the performance, the behavioral pattern of the ESS 102 is compared with patterns developed using historical data, at step 306. Historical data, such as parameters that are collected from the ESS 102 are collected from similar ESS over a period of time. Using this data, historical patterns are developed corresponding to the behavior of the ESS. Hence, these historical patterns indicate the manner in which ESS would behave corresponding to their behavior. In an embodiment, historical data can also mean data that is used in empirical mathematical models that are used to develop pattern against which behavioral patterns are compared. The patterns developed using empirical mathematical models are herein referred to as historical patterns. At step 306, the behavioral pattern that is developed at step 304 is compared with the historical patterns to identify a historical pattern that is similar to the current behavioral pattern. Once a historical pattern is identified, based on the behavior in the historical pattern, behavior of the ESS 102 is estimated.

The various actions in the aforementioned method can be performed in the order presented, in a different order or simultaneously. Further, in some embodiments, some actions listed in FIG. 3 can be omitted.

In an embodiment, the above method is used to estimate performance of the ESS 102 post warranty period of the ESS 102. Further, in light of the estimated performance, the value of the ESS 102 post warranty period can be calculated. Furthermore, based on the estimation, one can also determine a field in which the ESS 102 may be used post warranty period.

Further, it may be noted that performance may correspond to a number of parameters such as, energy storage capacity, power characteristics, internal impedance, and self-discharge rates, among other parameters.

In an embodiment, the EMS 104, to enable determination of the performance that may be delivered by ESS 102, collects data while the ESS 102 is being charged. When the ESS 102 is charged, the EMS 104 collects from the ESS 102, data corresponding to, state of charge at the beginning and end of the charging cycle, voltage, current, temperature, time, duration of charging and impedance, among other data. Further, additionally or alternatively, during the discharging cycle of the ESS 102, the EMS 104 collects from the ESS 102, data corresponding to, state of charge at the beginning and end of the discharging cycle, voltage, current, energy spend, temperature, time, duration for discharging, and impedance, among other data. Furthermore, additionally or alternatively, during an idle period, when the ESS 102 is neither being charged or discharged due to consumption of energy by ECS 106, the EMS 104 collects from the ESS 102, data corresponding to, state of charge, voltage, duration of idle period, self discharge and temperature, among other data. Additionally, it may be noted that, a person skilled in the art, in light of the disclosed embodiments, can enable collection of some or all of the aforementioned data, or can also enable collection of any additional data to enable determination of performance that may be delivered by ESS 102. Such modification would be within the scope of this invention.

The parameters that are collected represent the condition under which the ESS 102 is operated. The operating condition will have an effect on the performance of the ESS 102. Hence, data representing the operating conditions is collected to determine the performance that may be delivered by ESS 102. FIG. 4 illustrates an exemplary graph of affect of operating temperature on capacity of the ESS 102, in accordance with an embodiment. In the graph, line 402 represents change in capacity of the ESS 102 that is operated at 25° C., and line 404 represents change in capacity of the ESS 102 that is operated at 45° C. Further, lines 406 and 408 refer to 100% and 80% ESS 102 capacity, respectively. Furthermore, points 412 and 410 refer to life in cycles of usage of ESS 102 or years of usage of ESS 102, at which capacity of ESS 102 that is operated at 25° C. and 45° C. decreases to 80%, respectively. It can be observed that, capacity of the ESS 102 that is operated at 45° C. decrease to 80% earlier when compared to the ESS 102 that is operated at 25° C. Such effect on the performance is used to determine the performance of the ESS 102.

As aforementioned, another operating condition that affects the performance of the ESS 102 is operating condition during idle period. FIG. 5 illustrates an exemplary graph of affect of state of charge during idle period on life of the ESS 102, in accordance with an embodiment. The graph represents the effect of state of charge at which the ESS 102 is maintained during idle period, on calendar life of the ESS. As it can be seen in the graph, the calendar life of the ESS 102 which is maintained at 50% state of charge during idle period would be the highest. While determining the performance of the ESS 102, such effects are taken into consideration.

In an embodiment, in light of determination of performance and life of the ESS 102, post warranty period, based on the degradation of the ESS 102, the user of the ESS may be charged an appropriate fee. In some embodiments wherein the ESS 102 or the energy system 110 is taken on lease, while determining the compensation to be paid by the user, the extent to which the ESS 102 is degraded is also considered.

In another embodiment, based on the degradation of the ESS 102, the value of the ESS 102 is determined.

In an embodiment, the ESS 102 may be applied in a infrastructure wherein the ESS 102 is configured to electrically communicate with a grid, and supply electricity to the grid or store electricity supplied from a grid (ex: Vehicle to grid infrastructure). Using the ESS 102 in the aforementioned infrastructure may affect the performance of the ESS 102. In certain cases the ESS 102 might get degraded faster. To determine the performance/degradation of the ESS 102, the above discussed method and system are used. Further, based on the estimation made, the price at which electricity is supplied to the grid from the ESS 102 can be determined. Additionally or alternatively, one can also decide, based on the estimate, whether to use or not to use the ESS 102 in the aforementioned infrastructure.

In an embodiment, as recited earlier, historical patterns can be developed using mathematical models. It may be noted that mathematical or other models can be used in a number of ways, independently or in conjunction with empirical data (ex: data collected from similar ESS over a period of time) to develop patterns for comparison. For example, in an embodiment, a model a specific set of parameters may be used to develop a historical pattern for comparison or to estimate the ESS 102 performance degradation based on short-term or long-term usage pattern. In another embodiment, a model may be used with one or more variable parameters to fit to existing empirical data, and also further to extrapolate empirical data to a later time, to develop a historical pattern for comparison. In yet another embodiment, a model may be used to scale existing empirical data to different conditions. Scaling of empirical date to other conditions may be done if empirical data does not exist at identical conditions and scaled empirical data is considered more accurate than pure model-generated data. For example, scaling of empirical data may be done in a situation where, a ESS is operated in a way that is similar to that of existing empirical data but with some differences in the operating condition, such as, operating at a different temperature or operating at a different depth of discharge, and it is believed that the effects of the parameters that are different are accurately represented by the model. The model can be fit to the existing empirical data from similar ESS and situations, following which the relevant parameters can be altered and the model used to develop patterns under the new conditions. In another embodiment, a model may be used to disaggregate the lifetime effects of varying operating conditions and usage patterns over time. For example, if empirical data exists for the capacity degradation over a usage period of an ESS, which was operated in a variety of ways during that period, a model with parameters set appropriately for each different operating condition for the relevant amount of usage can be used to estimate what fraction of the capacity degradation resulted from each operating mode or each short-term event, even if the model would not be considered accurate enough to estimate these absolute degradations by itself. In another embodiment, a model may be used to aggregate the lifetime effects of varying operating conditions and usage patterns over time. For example, if empirical data exists from a number of similar ESS operating in different ways, and a model is fit to each of them with the differences in operating modes appropriately represented as different values of the appropriate parameters, the model can then be used to estimate the lifetime effects on an ESS operated in different modes over time.

Method of Enhancing Performance that the ESS 102 Can Deliver

FIG. 6 is a flow chart illustrating a method for enhancing performance/life of the ESS 102, in accordance with an embodiment. At step 602, the DPS 106 and/or the EMS 104 identify adaptations that can be made to enhance the performance/life of the ESS 102. Further, if any adaptations can be made to enhance the performance/life of the ESS 102, post warranty period, then such adaptations are made at step 604. In an embodiment, after identifying the adaptations that can be made to enhance the performance/life of the ESS 102, the DPS 106 or the EMS 104 determines whether such adaptations affects the performance of the ESS 102 or performance of systems that are dependent on the ESS. Thereafter, if it is determined that performance of the ESS 102 or any dependent systems may get affected, then user of the ESS 102 is informed about the same, and adaptations are made based on the command of the user. In an embodiment, prior to making any adaptations, the user's permission is sought. Alternatively, adaptations can be made without taking user's permission.

In an embodiment, before identify adaptations that can be made to enhance the performance/life of the ESS 102, an estimation of the performance that may be delivered by the ESS 102 is made.

FIG. 7 illustrates an adaptation that is made to the ESS 102, in accordance with an embodiment. The adaptation is made in light of ESS 102 charge and discharge pattern that is illustrated in FIG. 8. In light of FIG. 8, it is can be seen that user of the ESS 102 has a habit of charging the ESS 102 everyday but using the car which is powered by the ESS 102 only on weekends. His usage pattern shows that the car is kept idle on full charge over most parts of the week. As seen in FIG. 5 this has an effect of reducing the life of the ESS 102. The life of the ESS 102 can be enhanced if the ESS 102 is maintained at about 50% state of charge during the idle period.

To enhance the performance/life of the ESS 102, the charging regime of the ESS 102 is adjusted such that the charge level during the idle period is limited to a percentage that enhances the life.

FIG. 7 depicts a new charging regime. The DPS 106 or the EMS 104 ensures that the ESS 102 gets charged to about 50%. Further, DPS 106 or the EMS 104 ensures that charging is initiated such that ESS 102 gets charged completely on late Saturday before the user needs to use the car. The ESS 102 life is thus enhanced without compromising usage requirements.

In light of the foregoing discussion, it will be clear to a person with ordinary skill in the art that power usage pattern and storage temperature pattern can also be adjusted to enhance the performance/life of the ESS 102.

In an embodiment, the ESS 102 may be rented out and the compensation to be paid for taking the ESS 102 on rent can be determined based on the estimation of performance/life of the ESS 102. When the ESS 102 is being used while it is rented, data corresponding to the ESS 102 is, collected. The data that is collected is used to generate behavioral pattern of the ESS 102 and the same is used for estimating performance/life of the ESS 102. Based on this estimation, if the usage of ESS 102 is such that the performance/life of the ESS 102 is increased, then the rent is reduced by certain factors. Alternatively, if the usage of ESS 102 is such that the performance/life of the ESS 102 is decreased, then the rent is increased by certain factors. In an embodiment, the user may be allowed to reduce the rent for the ESS 102 by allowing adaptations to be made to the ESS 102 that would enhance the performance/life of the ESS 102.

The embodiments disclosed herein can be implemented through at least one software program running on at least one hardware device and performing network management functions to control the network elements. The network elements shown in FIG. 1 include blocks which can be at least one of a hardware device, or a combination of hardware device and software module.

The embodiments disclosed herein include technique for determining, the performance the ESS may deliver beyond its warranty period and the duration for which the ESS can be used beyond its warranty period. Additionally, the embodiments disclosed herein enable, enhancement of performance that the ESS can deliver beyond its warranty period and increment of the period for which the ESS can be used beyond its warranty period. Therefore, it is understood that the embodiments disclosed include a program and a computer readable medium having data stored therein. The computer readable medium can contain program code for implementing one or more steps of the disclosed methods. The disclosed embodiments also include a server or any suitable programmable device configured to execute that program code. One or more of the disclosed methods can be implemented through or together with a software program written in, e.g., very high speed integrated circuit hardware description language (VHDL) or another programming language. Further, the disclosed methods can be implemented by one or more software modules being executed on at least one hardware device. The at least one hardware device can include any kind of portable device that can be programmed. The at least one hardware device may also include devices that can be programmed (e.g., a hardware device like an ASIC, a combination of hardware and software devices, such as an ASIC and an FPGA, or at least one microprocessor and at least one memory with software modules located therein). The methods described herein can be implemented partly in hardware and partly in software. Alternatively, embodiments may be implemented on different hardware devices, e.g. using a plurality of CPUs.

The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments disclosed herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments disclosed herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments disclosed herein can be practiced with modification within the spirit and scope of the embodiments as described herein.

Claims

1. A method for estimating performance delivered by an energy storage system, the method comprising:

collecting data corresponding to the energy storage system;

generating behavioural pattern of the energy storage system using at least a portion of the collected data;

comparing the behavioural pattern with patterns developed using historical data; and

identifying a pattern among the patterns developed using historical data, wherein the identified pattern is similar to the behavioural pattern of the energy storage system; and

estimating the performance delivered by the energy storage system based on performance indicated in the identified pattern.

2. The method according to claim 1, wherein collecting data corresponding to the energy storage system comprises, collecting data corresponding to one or more of state of charge at the beginning and end of the charging cycle, voltage, current, temperature, time, duration of charging and impedance, wherein the data is collected when the energy storage system is charging.

3. The method according to claim 1, wherein collecting data corresponding to the energy storage system comprises, collecting data corresponding to one or more of, state of charge at the beginning and end of the discharging cycle, voltage, current, energy spend, temperature, time, duration for discharging, and impedance, wherein the data is collected when the energy storage system is discharging.

4. The method according to claim 1, wherein collecting data corresponding to the energy storage system comprises, collecting data corresponding to one or more of, state of charge, voltage, duration of idle period, self discharge and temperature, wherein the data is collected when the energy storage system is idle.

5. The method according to claim 1, wherein the patterns developed using historical data is generated using data collected from energy storage systems that have at least substantially similar configuration as compared to configuration of the energy storage system for which performance is being estimated.

6. The method according to claim 1, further comprising determining compensation to be paid by a user of the energy storage system based on estimation of performance delivered by an energy storage system.

7. The method according to claim 1, further comprising determining value of the energy storage system based on estimation of performance delivered by an energy storage system.

8. The method according to claim 1, wherein performance delivered by an energy storage system beyond warranty period of the energy storage system is determined using identified pattern.

9. A method for enhancing performance that can be delivered by an energy storage system, the method comprising:

identifying adaptations to be made to enhance the performance of the energy storage system; and

making adaptations to the energy storage system, thereby enhancing the performance that can be delivered by an energy storage system.

10. The method according to claim 9, further comprising estimating performance delivered by the energy storage system.

11. The method according to claim 9, further comprising receiving permission from user of the energy storage system to make adaptations to the energy storage system.

12. The method according to claim 9, wherein adaptations to be made are identified based on pattern of usage of the energy storage system.

13. The method according to claim 12, wherein the pattern of usage is charge pattern of the energy storage system.

14. The method according to claim 12, wherein the pattern of usage is discharge pattern of the energy storage system.

15. The method according to claim 12, wherein the pattern of usage is temperature pattern at which the energy storage system is used.

16. The method according to claim 12, wherein the pattern of usage is physical parameter pattern at which the energy storage system is used.

17. A system for estimating performance delivered by an energy storage system, the system comprising an energy management system configured to communicate and manage the energy storage system and a data processing system configured to communicate with the energy management system, wherein the system is configured to:

collect data corresponding to the energy storage system;

generate behavioural pattern of the energy storage system using at least a portion of the collected data; compare the behavioural pattern with patterns developed using historical data;

identify a pattern among the patterns developed using historical data, wherein the identified pattern is similar to the behavioural pattern of the energy storage system; and

estimate the performance delivered by an energy storage system based on performance indicated in the identified pattern.

18. The system according to claim 17, wherein the system is configured to collect data corresponding to one or more of, state of charge at the beginning and end of the charging cycle, voltage, current, temperature, time, duration of charging and impedance, wherein the data is collected when the energy storage system is charging.

19. The system according to claim 17, wherein the system is configured to collect data corresponding to one or more of, state of charge at the beginning and end of the discharging cycle, voltage, current, energy spend, temperature, time, duration for discharging, and impedance, wherein the data is collected when the energy storage system is discharging.

20. The system according to claim 17, wherein the system is configured to collect data corresponding to one or more of, state of charge, voltage, duration of idle period, self discharge and temperature, wherein the data is collected when the energy storage system is idle.

21. The system according to claim 17, wherein the system is configured to develop historical patterns using data collected from energy storage systems that have at least substantially similar configuration as compared to configuration of the energy storage system for which performance is being estimated.

22. The system according to claim 17, wherein the system is configured to determine compensation to be paid by a user of the energy storage system based on estimation of performance delivered by an energy storage system.

23. The system according to claim 17, wherein the system is configured to determine value of the energy storage system based on estimation of performance delivered by an energy storage system.

24. A system for enhancing performance that can be delivered by an energy storage system, the system comprising an energy management system configured to communicate and manage the energy storage system and a data processing system configured to communicate with the energy management system, wherein the system is configured to:

estimate performance delivered by the energy storage system beyond the energy storage system's warranty period;

identify adaptations to be made to enhance the performance of the energy storage system; and

make adaptations to the energy storage system, thereby enhancing the performance that can be delivered by an energy storage system beyond the energy storage system's warranty period.

25. The system according to claim 24 is further configured to estimate performance delivered by the energy storage system.

26. The system according to claim 24 is further configured to receive permission from user of the energy storage system to make adaptations to the energy storage system.

27. The system according to claim 24, wherein adaptations to be made are identified based on pattern of usage of the energy storage system.

28. The system according to claim 27, wherein the pattern of usage is charge pattern of the energy storage system.

29. The system according to claim 27, wherein the pattern of usage is discharge pattern of the energy storage system.

30. The system according to claim 27, wherein the pattern of usage is temperature pattern at which the energy storage system is used.

31. The system according to claim 27, wherein the pattern of usage is physical parameter pattern at which the energy storage system is used.

32. The system according to claim 24, wherein the system is further configured to determine the compensation to be paid by a user of the energy storage system based on the adaptations made to the energy storage system.

33. (canceled)

34. (canceled)