WO2017206387A1

WO2017206387A1 - Method and system for estimating remaining capacity of battery

Info

Publication number: WO2017206387A1
Application number: PCT/CN2016/098099
Authority: WO
Inventors: 梁叔螭; 陈嘉贤
Original assignee: 梁叔螭; 陈嘉贤
Priority date: 2016-05-31
Filing date: 2016-09-05
Publication date: 2017-12-07
Also published as: CN106154170A; CN106154170B

Abstract

A method for estimating the remaining capacity of a battery. The method for estimating the remaining energy storage capacity of a battery comprises: measuring an initial charging state (S₀) at a first time point of a charging period of the battery, and measuring a final charging state (SF) at a second time point of the charging period, wherein the second time point is later than first time point; measuring energy (E) inputted to the battery between the first time point and the second time point of the charging period; and calculating, by using the initial charging state (S₀), the final charging state (S_F), and the energy (E) inputted to the battery, an index number of the remaining energy storage capacity of the battery. A system for estimating the remaining capacity of a battery is further provided. The system comprises a charging state recording module (10), an input energy measuring module (11), and a remaining energy storage capacity index number calculating module (12) for calculating an index number of remaining energy storage capacity of the battery.

Description

Method and system for estimating remaining battery capacity

Technical field

The present invention relates to the field of batteries, and in particular to a method of estimating the remaining capacity of a battery and a system for implementing the same. The present invention is based on a Chinese patent application filed on May 31, 2016, the application number of which is hereby incorporated by reference.

Background technique

The battery has the function of storing electric energy and has been widely used. Existing instruments, electronic devices, industrial devices, and even automobiles are heavily powered by batteries. As the battery is used, its remaining life is also reduced, and the battery's self-discharge amount increases with each charge cycle or discharge cycle, and the remaining energy storage capacity of the battery decreases. The remaining energy of the battery is also reduced in total energy storage capacity.

When the battery is traded, the remaining energy storage capacity of the battery and the remaining energy storage capacity of the battery are often factors that determine the economic value of the battery. Therefore, the remaining energy total storage capacity of the battery and the remaining energy storage capacity of the battery are correctly estimated. It is especially important in the trading process of batteries.

It has been known in daily life that the remaining energy storage capacity of the battery is reduced with the age of the battery, the average discharge depth of the battery in the past, and/or the number of charging and/or discharging cycles that the battery has experienced, and the battery The self-discharge amount increases with the age of the battery and the number of charging and/or discharging cycles that the battery has experienced, wherein the self-discharge amount of the battery refers to a fixed time after the battery completes one charging cycle, and In the case where the battery has no external discharge circuit, the battery's state of charge drops by a percentage.

Moreover, the remaining life of the battery decreases as the age of the battery increases, so the remaining energy of the battery also has the total energy storage capacity, wherein the remaining energy of the battery is the total energy storage capacity of the battery that is stored in the remaining life of the battery. Or, the upper limit of the energy that the battery can store in total and can be subsequently released during the remaining life of the battery. The remaining life of the battery decreases as the number of charging and/or discharging cycles experienced by the battery increases, so the remaining energy total storage capacity of the battery is also the same.

In addition, when replacing a battery that has been used or charging a battery, it is often necessary to estimate the remaining energy storage capacity of the battery and the remaining energy total energy storage capacity of the battery.

However, in practice, there is no systematic and objective method to estimate the total energy storage capacity and remaining energy storage capacity of individual batteries. It is impossible to evaluate the economic value of the battery, and determine whether it is necessary to replace the battery and charge the battery. Or when the battery is sold, the status of the battery cannot be correctly judged.

technical problem

SUMMARY OF THE INVENTION A primary object of the present invention is to provide a method for efficiently estimating the remaining capacity of a battery.

Another object of the present invention is to provide a system for estimating the remaining capacity of a battery that provides a reference for trading, replacement, and charging of the battery.

Technical solution

In order to achieve the above main object, the method for estimating the remaining capacity of the battery provided by the present invention includes estimating the remaining energy storage capacity of the battery, and measuring the initial state of charge of the battery at the first time point of the battery charging cycle, at the second time point of the charging cycle. Measuring the final state of charge of the battery, the second time point being later than the first time point; measuring the energy input to the battery between the first time point and the second time point in the charging cycle; using the initial state of charge, the final state of charge, and the input The energy to the battery calculates an indicator of the remaining energy storage capacity of the battery.

A preferred solution is to calculate an indicator of the remaining energy storage capacity of the battery by dividing the energy input to the battery by the difference between the final state of charge and the initial state of charge.

A further solution is to further estimate a remaining energy storage capacity and/or a remaining life total energy storage capacity of the battery, comprising: obtaining a self-discharge amount of the battery within a fixed time after completing a charging cycle; and/or acquiring the battery first The difference between the time stamp of the secondary charging and/or discharging cycle and the current time; and/or obtaining the average average depth of discharge of the battery; and/or obtaining the number of charging and/or discharging cycles that the battery has experienced; using the first Calculating parameters calculate the remaining energy storage capacity of the battery, and/or calculating the remaining life total energy storage capacity of the battery using the second calculation parameter, the first calculation parameter including at least one of the following parameters: an indicator of the remaining energy storage capacity of the battery, the battery is Time stamp and current time for a fixed period of time after a charge cycle, the first charge and/or discharge cycle of the battery The difference between the two, the average discharge depth of the battery in the past, the number of charging and/or discharging cycles that the battery has experienced, and the second calculation parameter includes at least one of the following parameters: the remaining energy storage capacity of the battery or the remaining energy storage capacity. The difference between the self-discharge amount of the battery in a fixed time after completing a charging cycle, the time stamp of the first charging and/or discharging cycle of the battery and the current time, the average discharge depth of the battery in the past, and the battery used to The number of cycles of charging and/or discharging that have been experienced. The discharge depth of the battery is the complement of the state of charge of the battery, that is, a reduced charge state.

A further solution is to calculate the remaining energy storage capacity of the battery as: recording the known remaining energy storage capacity of the one or more batteries at one or more time points and the known battery at the corresponding time point of the known a first calculation parameter, estimating a first mathematical relationship between a known residual energy storage capacity of the battery and a known first calculated parameter; calculating a remaining energy of the current battery using the first calculated parameter of the current battery, the first mathematical relationship Storage capacity; calculating the remaining life of the battery. The total energy storage capacity is: recording the known remaining life total energy storage capacity of one or more batteries at one or more time points and the corresponding battery at the corresponding time point. a second calculated parameter, a second mathematical relationship between the known remaining life total energy storage capacity of the battery and the known second calculated parameter; calculating the current battery using the second calculated parameter of the current battery, the second mathematical relationship The remaining energy total storage capacity.

To achieve the above other object, the battery remaining capacity estimating system provided by the present invention includes a charging state recording module that measures and records the initial state of charge of the battery at a first time point of the battery charging cycle, at a second time point of the charging cycle. Measuring and recording the final state of charge of the battery, the second time point being later than the first time point; inputting an energy measurement module, measuring energy input to the battery between the first time point and the second time point in the charging cycle; remaining energy storage The capacity indicator calculation module calculates an indicator of the remaining energy storage capacity of the battery using the initial state of charge, the final state of charge, and the energy input to the battery.

A preferred solution is further comprising a calculation parameter recording module for measuring and/or recording at least one of the following calculation parameters: a remaining energy storage capacity of the battery or an indicator of the remaining energy storage capacity, and a battery after completing a charging cycle The self-discharge amount in a fixed time, the time stamp of the first charge and/or discharge cycle of the battery, the difference between the time stamp of the first charge and/or discharge cycle of the battery and the current time, and the average discharge of the battery in the past Depth, the number of charging and/or discharging cycles that the battery has experienced; also includes remaining energy storage capacity and remaining life total energy storage capacity calculation module, using the above calculated parameters to calculate the remaining energy storage capacity of the battery and/or the remaining battery Total energy storage capacity of life.

Beneficial effect

The solution of the present invention records the initial state of charge of the battery during the charging cycle, the final state of charge, and the energy input to the battery, and calculates the index of the remaining energy storage capacity of the battery using the above parameters, and may be a transaction, replacement, or Charging provides the basis.

Moreover, the final state of charge of the battery, the initial state of charge, and the input energy are all easily measured, and the index of the remaining energy storage capacity of the battery can be conveniently calculated by a simple calculation method using the above parameters.

In addition, the remaining energy storage capacity of the battery is calculated by using a first calculated parameter such as an index of remaining energy storage capacity, a self-discharge amount, a number of charge and discharge cycles of the battery, a difference between the charge and discharge time stamp and the current time, a past average discharge depth, and the like; Calculating the battery by the second calculation parameter such as the remaining energy storage capacity or the remaining energy storage capacity index, the self-discharge amount, the number of charge and discharge cycles of the battery, the difference between the charge and discharge time stamp and the current time, and the average discharge depth of the battery Remaining life total energy storage capacity, thereby effectively estimating the remaining energy storage capacity of the battery and/or remaining life total energy storage capacity, remaining energy storage capacity of the battery and/or remaining life of the battery, total energy storage capacity, determining the economy of the battery value.

In addition, by analyzing the relationship between the known residual energy storage capacity of one or more batteries at one or more points in time and the first calculated parameter including the corresponding battery at one or more points in time, a first mathematical relationship; between the known remaining life total energy storage capacity of the one or more batteries at one or more points in time and the second calculated parameter comprising the corresponding battery at one or more points in time The relationship is analyzed to estimate the second mathematical relationship as a basis for estimating the current battery's remaining energy storage capacity and/or remaining life total energy storage capacity, thereby conveniently storing the remaining energy storage capacity and/or remaining life of the current battery. The total energy storage capacity is calculated.

DRAWINGS

BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 is a block diagram showing the construction of a battery system to which an embodiment of a battery remaining capacity estimating method of the present invention is applied.

2 is a block diagram of an embodiment of a battery remaining capacity estimating system of the present invention.

3 is a flow chart of an embodiment of a method for estimating remaining battery capacity of the present invention.

The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

Embodiments of the invention

The battery remaining capacity estimating method of the present invention is for estimating the remaining capacity of the battery, and the battery remaining capacity estimating system estimates the remaining capacity of the battery by means of the detecting means and a program running on the computer. The battery of the present invention may be a single battery module or a battery system including a plurality of battery modules. A typical battery system is shown in FIG. 1. The battery system includes a plurality of battery modules that can be independently disassembled and installed. The plurality of battery modules are arranged in m rows and n columns, and are loaded in one container. For example, when the battery system is a battery system used in an electric vehicle, a plurality of battery modules are loaded in a specific container of the electric vehicle. Of course, the battery system can also be a battery system applied in other fields, such as a battery system used in various applications such as electronic equipment, instrumentation, and mechanical equipment.

The method of the present invention is for estimating a remaining capacity of a battery, including a remaining energy storage capacity of the battery and a remaining energy total storage capacity, wherein the remaining energy storage capacity of the battery is an upper limit of energy that the battery can store after a single charge is completed, or The upper limit of energy that the battery can store and can subsequently release after a single charge is completed.

In this embodiment, estimating the remaining energy storage capacity of the battery is achieved by measuring the initial state of charge of the battery at a first time point of the charging cycle of the battery, and measuring the final state of charge of the battery at a second time after the charging cycle. And measuring the energy input to the battery between the first time point and the second time point in the charging cycle, and calculating the remaining energy storage capacity of the battery by the initial state of charge, the final state of charge, and the energy input to the battery .

The state of charge of the battery is the ratio between the energy stored by the battery at a certain moment and the energy storage capacity of the battery, that is, the state of charge of the battery at a certain time can be expressed as: battery state of charge = The energy stored by the battery/the energy storage capacity of the battery, wherein the energy storage capacity of the battery is the current energy storage capacity of the battery, It is the upper limit of the energy that the battery can currently store. Therefore, the initial state of charge of the battery is the state of charge of the battery at the first point in time, and the final state of charge of the battery is the state of charge of the battery at the second point in time.

In this embodiment, the method for estimating the remaining energy storage capacity of the battery is to divide the energy input to the battery between the first time point and the second time point by the difference between the final state of charge and the initial state of charge, that is, the formula 1 Calculation:

Where C is an indicator of the remaining energy storage capacity of the battery, E is the energy input to the battery between the first time point and the second time point, and S _F is the state of charge of the battery at the second time point, that is, the final charging State, S ₀ is the state of charge of the battery at the first time point, that is, the initial state of charge.

Therefore, as shown in FIG. 2, the battery remaining capacity estimating system is provided with a charging state recording module 10 for measuring and recording the initial state of charge of the battery at the first time point of the charging cycle, and measuring and recording the battery during the charging cycle. The final state of charge at the second time point. Preferably, the state of charge recording module 10 is provided with a state of charge measuring device.

The battery remaining capacity estimating system is further provided with an input energy measuring module 11 for measuring and recording energy input to the battery between the first time point and the second time point in the charging cycle, the input energy measuring module 11 and the charging state recording module. The data is output to the remaining energy storage capacity index calculation module 12, and the remaining energy storage capacity index calculation module 12 calculates an index of the remaining energy storage capacity of the battery according to Equation 1.

In addition to calculating the remaining energy storage capacity of the battery, the present invention also calculates the remaining energy total energy storage capacity of the battery. The total energy storage capacity of the battery and the remaining energy storage capacity of the battery or the remaining energy storage capacity, the self-discharge amount of the battery within a fixed time after completing a charging cycle, the first charging of the battery, and/or The difference between the time stamp of the discharge cycle and the current time, the average discharge depth of the battery in the past, the number of times the battery has experienced the charge and/or discharge cycle, etc., therefore, the battery remaining capacity estimation system is provided with a calculation parameter recording module. 13. For measuring and/or recording at least one calculation parameter, the calculation parameter comprising an indicator of a remaining energy storage capacity of the battery or a remaining energy storage capacity, and a self-discharge of the battery within a fixed time after completing a charging cycle The amount, the time stamp of the first charge and/or discharge cycle of the battery, the difference between the time stamp of the first charge and/or discharge cycle of the battery and the current time, the average discharge depth of the battery in the past, the battery has experienced At least one of the number of charging and / or discharging cycles. The remaining battery capacity estimation system is provided with a remaining energy storage capacity and a remaining life total energy storage capacity calculation module 14 for calculating the remaining life total energy storage capacity of the battery using the above calculated parameters.

Preferably, a real time clock is set to record the time to conveniently calculate a plurality of time parameters such as the difference between the time stamp of the first charge and/or discharge period of the battery and the current time.

Wherein, the self-discharge amount of the battery is a fixed time after the battery completes one charging cycle, and in the case that the battery has no external discharge circuit, the state of charge of the battery decreases by a percentage, and the percentage of the state of charge of the battery can pass Equation 2 is calculated.

Wherein, σ ₀ is a fixed time at the beginning of the charge state of the battery, σ _F is fixed at the end time of the state of charge of the battery.

In order to calculate a specific battery remaining life total energy storage capacity, it is necessary to calculate the known remaining life total energy storage capacity of one or more batteries at one or more time points and the corresponding calculation parameters of the corresponding battery at the corresponding time point. Statistics and analysis, for example, calculations and analysis by regression method or neural network method, thereby estimating the mathematical relationship between the total energy storage capacity of the remaining life of the battery and the calculation parameters. In this embodiment, the mathematical relationship estimating module 15 is configured to calculate the known remaining life total energy storage capacity of one or more batteries at one or more time points and the known remaining time of the corresponding battery at the corresponding time point. The difference between the energy storage capacity or the remaining energy storage capacity, the self-discharge amount within a fixed time after completing a charging cycle, the time stamp of the first charging and/or discharging cycle, and the corresponding time point, the past At least one of the calculated parameters, such as the average depth of discharge, the number of times of charging and/or discharging cycles that have been experienced, is analyzed to derive a mathematical relationship.

First, collect data of a large number of cases of one or more batteries at one or more time points, such as the data of

cases

1, 2, ..., n, and a set of data for each case includes: the corresponding battery is Remaining life total energy storage capacity, remaining at corresponding time points The index of the remaining energy storage capacity or the remaining energy storage capacity, the self-discharge amount within a fixed time after completing one charging cycle, the time difference between the time stamp of the first charging and/or discharging cycle, and the corresponding time point, The average average depth of discharge and/or the number of charging and/or discharging cycles that have been experienced. Based on the known data of these cases, the regression method or neural network method can be used to calculate the mathematical relationship.

When the regression method is applied, the total energy storage capacity of the remaining life of the battery at a certain point in time is taken as the dependent variable y, and the remaining energy storage capacity or the remaining energy storage capacity of the battery at the time point is used to complete a charging cycle. The amount of self-discharge after a fixed period of time, the timestamp of the first charge and/or discharge cycle and the difference between the time points, the average discharge depth of the battery in the past, and/or the charge and/or experience experienced. The number of discharge cycles is taken as each of the independent variables x ₁ , x ₂ , ..., x _m , and a regression equation is set.

among them,

a function that is assumed, known, and expressed in a mathematical expression,

Y is an estimated value of i in the given case by the above regression equations, x _{1, i} is the value x ₁ in the case _i, x _m, i is the value of x _m in the case i, and so on, β ₁ ,...,β _p is the regression coefficient (regression coefficient[s]) of each unknown, real number in the mathematical expression, p is a natural number,

Represents the real number set.

The method of obtaining optimization then uses β _1, ..., optimization of the value of b ₁ β _p, ..., b _p, thereby minimizing

Where y _i is the value of y in case i,

It is a monotonically increasing function. The above optimization method may be a conventional calculus method, a genetic algorithm, or the like. Finally, b ₁ ,...,b _{p are} substituted into the above regression equation to become the required mathematical relationship.

When the mathematical relationship is calculated by the neural network method, the total energy storage capacity of the remaining life of the battery at a certain point in time is used as the output y of the neural network, and the remaining energy storage capacity of the battery at the time point is used. Or an indicator of the remaining energy storage capacity, a self-discharge amount within a fixed time after completing a charging cycle, a time stamp of the first charging and/or discharging cycle, and a difference between the time points, a battery average The depth of discharge and/or the number of charge and/or discharge cycles that have been experienced as the inputs (sputs[s]) x ₁ , ..., x _{m of} the neural network, and the neural network is set to a certain structure, and assumed This neural network is represented by the following equation:

among them,

a function that is assumed, unknown, and not necessarily expressed in mathematical expressions,

Is the estimated value of y i in the case given by the above _equation, x _{1, i} is a value of x ₁ in the case _i, x _{m, i} is the value of x _m in the case i, and so on, π ₁ , ..., π _q are the parameters of the unknown, real number (parameter[s]) in the neural network, initially set π ₁ , ..., π _q to

q is a natural number,

Represents the real number set. It is assumed that there is one or more known activation functions (activation function[s]) in the neural network.

Then supervised learning,

Enter the neural network to find

Update

Make the distinction

will

Enter the neural network to find

Update

Make the distinction

And so on, repeated calculations, will

Enter the neural network to find

Update

Make the distinction

Where {i ₁ ,...,i _n }={1,...,n}. Update above

The purpose is to minimize

Where y _i is the value of y in case i,

Is a monotonically increasing function.

Finally, although theoretically, it cannot and does not need to be obtained.

But will

Substituting the parameters π ₁ ,...π _q of the above neural network, the obtained neural network is the mathematical relationship that needs to be extrapolated. In other words, when any value of x ₁ ,..., x _m is input to the neural network, the nerve The value of y output by the network is the above mathematical relationship with the values of x ₁ , ..., x _m .

After obtaining the above mathematical relationship, the calculation parameters measured and/or recorded by the calculation parameter recording module 13 are substituted or input into the above mathematical relationship, and the remaining energy storage capacity and remaining life total energy storage capacity calculation module 14 calculates the total remaining life of the battery. The energy storage capacity, for example, the remaining energy storage capacity and the remaining life total energy storage capacity calculation module 14 substitutes the above parameters into the independent variables x ₁ , x ₂ , ..., x _m of the regression equation, the dependent variable of the regression equation y gives the remaining life total energy storage capacity of the battery, or the remaining energy storage capacity and remaining life total energy storage capacity calculation module 14 inputs the above parameters into x ₁ , ..., x _m of the above neural network, and the y output from the neural network Give the total energy storage capacity of the remaining life of the battery.

Of course, when calculating the remaining energy storage capacity of the battery, it is also possible to first calculate a mathematical relationship using the relationship between the remaining energy storage capacity of the known battery and the calculation parameter, and then apply the mathematical relationship and the calculation parameters of the current battery to calculate the current The remaining energy storage capacity of the battery. For example, collecting data of a large number of cases of one or more batteries at one or more time points, such as the data of

cases

1, 2, ..., n, a set of data for each case includes: the corresponding battery is The remaining energy storage capacity corresponding to the time point and the calculation parameter of the corresponding battery at the corresponding time point, the calculation parameter may include an indicator of the remaining energy storage capacity, a self-discharge amount within a fixed time after completing a charging cycle, The difference between the time stamp of the first charge and/or discharge cycle and the corresponding time point, the past average discharge depth, and/or the number of charge and/or discharge cycles that have been experienced, and the like. Then, based on the known data of these cases, a regression or neural network method can be used to calculate a mathematical relationship for calculating the remaining energy storage capacity of the battery. The process of using the regression method or the neural network method to calculate the mathematical relationship is the same as the process of calculating the mathematical relationship for calculating the total energy storage capacity of the remaining life of the battery, and will not be described again.

After calculating the mathematical relationship for calculating the remaining energy storage capacity of the battery, the above calculation parameters of the current battery are acquired by the calculation parameter recording module 13, and then the remaining energy storage capacity and remaining life total energy storage capacity calculation module 14 uses these calculation parameters and mathematics. The relationship calculates the remaining energy storage capacity of the battery.

Referring to FIG. 3, when estimating the remaining capacity of the battery, firstly measuring and recording the initial state of charge of the battery at the first time point of the charging cycle and the final state of charge at the second time point of the charging cycle, ie, performing step S1 .

And, in step S2, the energy input to the battery between the first time point and the second time point in the charging cycle is measured and recorded by the measuring device, and then step S3 is performed to calculate an index of the remaining energy storage capacity of the battery, for example, The index of the remaining energy storage capacity of the battery is calculated by the computer according to Equation 1.

After calculating the indicator of the remaining energy storage capacity of the battery, calculating the remaining energy storage capacity and/or the remaining life total energy storage capacity of the battery, and executing step S4 to obtain At least one calculation parameter, which optionally includes an indicator of the remaining energy storage capacity or remaining energy storage capacity of the battery that has been calculated, and optionally includes a battery within a fixed time after completing one charging cycle The amount of self-discharge, the difference between the time stamp of the first charge and/or discharge cycle of the battery and the current time, the average discharge depth of the battery in the past, the number of charge and/or discharge cycles that the battery has experienced, and the like. The self-discharge amount can be measured and calculated by using a measuring device, and the calculation method of the self-discharge amount is the same as the method described above, and will not be described again. The time stamp of the first charge and/or discharge cycle of the battery, the average discharge depth of the battery in the past, and the number of charge and/or discharge cycles that the battery has experienced may be automatically recorded automatically by the battery remaining capacity estimation system of the present invention. It can also be manually recorded and input into the battery remaining capacity estimating system of the present invention when calculating the remaining energy storage capacity of the battery and/or the remaining life total energy storage capacity.

Finally, step S5 is performed to calculate the remaining energy storage capacity of the battery and/or the remaining life total energy storage capacity using a mathematical relationship. Preferably, the mathematical relationship between the remaining energy storage capacity of the battery and/or the remaining energy total energy storage capacity and the calculated parameter is pre-calculated and stored in the battery remaining capacity estimation system of the present invention, and the remaining energy storage capacity and/or remaining of the battery is calculated. When the total energy storage capacity is used, only the calculation parameters need to be substituted or input into the mathematical relationship, and the computer can automatically obtain the corresponding calculation parameters from the plurality of measurement devices, thereby realizing the remaining energy storage capacity and/or the remaining life total energy storage capacity. Estimate.

Through the above method, the remaining energy storage capacity of the battery and/or the remaining energy total energy storage capacity can be calculated, which provides a basis for the economic value evaluation of the battery. In addition, when it is necessary to replace the battery or charge the battery, the data may be determined based on the remaining energy storage capacity of the battery, the remaining energy storage capacity of the battery, and the like.

Of course, the above solution is only a preferred embodiment of the present invention, and there may be more changes in practical applications. For example, when calculating a mathematical relationship, other methods may be used for calculation, or when calculating a mathematical relationship, the above introduction may not be used. All calculation parameters, using only one or more of the calculation parameters, or not directly using the calculation parameters described above, but using a proxy with a similar meaning to its parameters; or, use more The other calculation parameters are used to calculate the remaining energy storage capacity of the battery and/or the remaining life total energy storage capacity, etc., and such changes do not affect the implementation of the present invention and are included in the scope of the claims of the present invention.

Claims

A method for estimating a remaining battery capacity, characterized by comprising:

Estimate the remaining energy storage capacity of the battery, including:

Measuring an initial state of charge of the battery at a first time point of a charging cycle of the battery, measuring a final state of charge of the battery at a second time point of the charging cycle, the second time point being later than the first Time point

Measuring energy input to the battery between the first time point and the second time point in the charging cycle;

An indicator of the remaining energy storage capacity of the battery is calculated using the initial state of charge, the final state of charge, and the energy input to the battery.
The method for estimating a remaining capacity of a battery according to claim 1, wherein:

An indicator for calculating the remaining energy storage capacity of the battery is that the energy input to the battery is divided by the difference between the final state of charge and the initial state of charge.
The method for estimating the remaining capacity of a battery according to claim 1 or 2, further comprising:

Obtaining a self-discharge amount of the battery within a fixed time after completing a charging cycle; and/or

Obtaining a difference between a time stamp of the first charge and/or discharge cycle of the battery and a current time; and/or

Obtaining a past average discharge depth of the battery; and/or

Obtaining the number of charging and/or discharging cycles that the battery has experienced; and

At least one of the following:

Calculating a remaining energy storage capacity of the battery using a first calculation parameter, the first calculation parameter including at least one of the following parameters: the remaining energy storage capacity of the battery An indicator of the amount, the self-discharge amount of the battery, a difference between a time stamp of the first charge and/or discharge period of the battery, and a current time, the average discharge depth of the battery The number of times the battery has experienced a charge and/or discharge cycle that has been experienced;

Calculating a remaining life total energy storage capacity of the battery using a second calculation parameter, the second calculation parameter including at least one of the following parameters: an indicator of the remaining energy storage capacity or remaining energy storage capacity of the battery, The self-discharge amount of the battery, the difference between the time stamp of the first charge and/or discharge period of the battery and the current time, the past average discharge depth of the battery, the battery The number of charging and/or discharging cycles that have been experienced.
The method for estimating a remaining capacity of a battery according to claim 3, wherein:

Calculating the remaining energy storage capacity of the battery is:

Recording a known residual energy storage capacity of one or more batteries at one or more points in time and a known first calculated parameter of the corresponding battery at a corresponding point in time, estimating a known of said battery a first mathematical relationship between the remaining energy storage capacity and the known first calculated parameter;

Calculating a remaining energy storage capacity of the current battery using the first calculated parameter of the current battery, the first mathematical relationship;

Calculating the remaining life of the battery The total energy storage capacity is:

Recording a known remaining total energy storage capacity of one or more batteries at one or more points in time and a known second calculated parameter of the corresponding battery at a corresponding point in time, estimating the battery's already a second mathematical relationship between the known remaining life total energy storage capacity and the known second calculated parameter;

The remaining life total energy storage capacity of the current battery is calculated using the second calculated parameter of the current battery, the second mathematical relationship.
The method for estimating a remaining capacity of a battery according to claim 4, wherein:

The first mathematical relationship and the second mathematical relationship are obtained by using a regression method or a neural network method.
An estimation system for remaining battery capacity, characterized by including

a charging state recording module that measures and records an initial state of charge of the battery at a first time point of a battery charging cycle, and measures and records a final state of charge of the battery at a second time point of the charging cycle, the second The time point is later than the first time point;

Inputting an energy measurement module, measuring and recording energy input to the battery between the first time point and the second time point in the charging cycle;

The remaining energy storage capacity indicator calculation module calculates an index of the remaining energy storage capacity of the battery using the initial state of charge, the final state of charge, and the energy input to the battery.
The system for estimating the remaining capacity of a battery according to claim 6, wherein:

The remaining energy storage capacity index calculation module calculates an index of the remaining energy storage capacity by dividing the energy input to the battery by a difference between the final state of charge and the initial state of charge.
The system for estimating the remaining capacity of a battery according to claim 6 or 7, further comprising:

Calculating a parameter recording module for measuring and/or recording at least one of the following calculated parameters: an indicator of the remaining energy storage capacity or remaining energy storage capacity of the battery, and a fixed time of the battery after completing a charging cycle The amount of self-discharge within, the timestamp of the first charge and/or discharge cycle of the battery, the difference between the time stamp of the first charge and/or discharge cycle of the battery, and the current time, the battery The average average depth of discharge, the number of charging and/or discharging cycles that the battery has experienced;

Residual Energy Storage Capacity and Remaining Life Total Energy Storage Capacity Calculation Module calculates the remaining energy storage capacity of the battery and/or the remaining life total energy storage capacity of the battery using the above calculated parameters.
The system for estimating the remaining capacity of a battery according to claim 8, further comprising:

The mathematical relationship estimation module is used for at least one of the following functions:

Analyzing the known remaining energy storage capacity of the one or more batteries at one or more points in time and the known calculated parameters of the corresponding battery at corresponding time points, Calculating a first mathematical relationship between the known remaining energy storage capacity of the battery and the known calculated parameter;

Analyzing the known remaining life total energy storage capacity of the one or more batteries at one or more time points and the known calculated parameter of the corresponding battery at a corresponding time point, estimating the known remaining of the battery a second mathematical relationship between the total energy storage capacity of the life and the known calculated parameter;

The remaining energy storage capacity and remaining life total energy storage capacity calculation module calculates a remaining energy storage capacity of the battery, including:

Calculating a remaining energy storage capacity of the current battery using the calculated parameter of the current battery, the first mathematical relationship;

The remaining energy storage capacity and remaining life total energy storage capacity calculation module calculates a remaining life total energy storage capacity of the battery, including:

The remaining life total energy storage capacity of the current battery is calculated using the calculated parameters of the current battery, the second mathematical relationship.
The system for estimating the remaining capacity of a battery according to claim 9, wherein:

The first mathematical relationship and the second mathematical relationship are obtained by using a regression method or a neural network method.