CN116754976A - Intelligent battery residual electric quantity estimation system - Google Patents
Intelligent battery residual electric quantity estimation system Download PDFInfo
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- CN116754976A CN116754976A CN202310597214.0A CN202310597214A CN116754976A CN 116754976 A CN116754976 A CN 116754976A CN 202310597214 A CN202310597214 A CN 202310597214A CN 116754976 A CN116754976 A CN 116754976A
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- 238000004364 calculation method Methods 0.000 claims abstract description 23
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 20
- 238000001514 detection method Methods 0.000 claims abstract description 12
- 238000000034 method Methods 0.000 claims description 18
- 230000008569 process Effects 0.000 claims description 11
- 230000005540 biological transmission Effects 0.000 claims description 7
- 238000007599 discharging Methods 0.000 claims description 7
- 230000007613 environmental effect Effects 0.000 claims description 7
- 238000012544 monitoring process Methods 0.000 claims description 7
- PXHVJJICTQNCMI-UHFFFAOYSA-N Nickel Chemical compound [Ni] PXHVJJICTQNCMI-UHFFFAOYSA-N 0.000 claims description 6
- 238000012937 correction Methods 0.000 claims description 5
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 claims description 3
- 239000002253 acid Substances 0.000 claims description 3
- 239000003795 chemical substances by application Substances 0.000 claims description 3
- 230000036541 health Effects 0.000 claims description 3
- 229910052743 krypton Inorganic materials 0.000 claims description 3
- DNNSSWSSYDEUBZ-UHFFFAOYSA-N krypton atom Chemical compound [Kr] DNNSSWSSYDEUBZ-UHFFFAOYSA-N 0.000 claims description 3
- 229910052744 lithium Inorganic materials 0.000 claims description 3
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 claims description 3
- 229910052759 nickel Inorganic materials 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012821 model calculation Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/387—Determining ampere-hour charge capacity or SoC
- G01R31/388—Determining ampere-hour charge capacity or SoC involving voltage measurements
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/389—Measuring internal impedance, internal conductance or related variables
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
Abstract
The invention discloses an intelligent battery residual capacity estimation system, which comprises a battery management module, a data acquisition module, a battery characteristic model, a battery residual capacity calculation module and a battery state display module, and is characterized in that: the battery management module comprises a battery control chip, an independent protection chip and a fault detection module, the data acquisition module comprises a voltage acquisition module, a current acquisition module and a temperature acquisition module, the residual electric quantity calculation module of the battery is used for estimating the residual electric quantity of the battery through a mathematical algorithm model.
Description
Technical Field
The invention relates to the technical field of automobile control, in particular to an intelligent battery residual capacity estimation system.
Background
A battery is an energy storage device widely used in modern electronic products, and is used for providing energy supply for the electronic devices without connecting to a power supply, while the service life and efficiency of the battery are directly connected to the service time and performance capability of the electronic devices, so that in order to better use the battery, people often need to know the remaining capacity of the battery to charge or replace the battery at any time, currently, some battery remaining capacity estimation techniques already exist in the market, wherein the most commonly used method is based on the open-circuit voltage of the battery (i.e. the battery voltage when not being charged) and a simple estimation method of the discharging characteristics of the battery, but the method has many defects, such as inconsistent discharging characteristics of different types, variation of the characteristics of the battery at inconsistent temperature and in use state, and the like, and these factors affect the estimation accuracy and precision of the remaining capacity of the battery.
Most of the existing battery residual electric quantity estimation methods are based on the calculation of the voltage and the current of the battery, the concentration and the stability of the battery are greatly influenced by the characteristics of the battery, and the real-time state of the battery cannot be monitored and reacted, so that intelligent electric quantity estimation is needed, the residual electric quantity of the battery can be monitored in real time, and the monitoring and display accuracy of the residual electric quantity of the battery is improved.
Disclosure of Invention
Aiming at the defects in the background technology, the invention provides an intelligent battery residual capacity estimation system.
The invention aims to solve the above phenomena, and adopts the following technical scheme that an intelligent battery residual capacity estimation system comprises the following steps:
including battery management module, data acquisition module, battery characteristic model, battery residual capacity calculation module and battery state display module, its characterized in that: the battery management module comprises a battery control chip, an independent protection chip and a fault detection module, the data acquisition module comprises a voltage acquisition module, a current acquisition module and a temperature acquisition module, the residual electric quantity calculation module of the battery agent estimates the residual electric quantity of the battery through a mathematical algorithm model, and the battery state display module adopts digital display and graphical display to visually display the residual electric quantity of the battery.
Preferably, the battery control chip is used for controlling the charging process of the battery and is responsible for charging and discharging control of the battery, the independent protection chip is used for protecting the battery, when parameters such as voltage and current of the battery exceed the expected setting range, the charging process of the battery can be cut off in time, the battery is protected from being damaged, the fault detection module is used for detecting faults of the battery, and when the faults of the battery occur, a user can be warned in time to prompt the user to enter the process.
Preferably, the mathematical algorithm model belongs to a mathematical algorithm model based on battery characteristic parameters and environmental conditions, the residual electric quantity of the battery can be calculated stably, and meanwhile, the algorithm logic considers the real-time state of the battery for correction, so that the estimation calculation accuracy and stability are improved.
Preferably, the battery characteristic model can model different types of batteries, including various types of batteries such as lithium batteries, lead-acid batteries, nickel krypton batteries, lithium iron phosphate batteries and the like, so as to adapt to the requirements of different application scenes.
Preferably, the data acquisition module can monitor the battery in real time, including acquisition and transmission of parameters such as voltage, current, temperature, etc., to provide accurate battery residual capacity calculation.
Preferably, the battery state display module can monitor and feed back the state of the battery in real time, such as displaying and early warning of the remaining capacity, the charging state, the health state and other parameters of the battery, so as to improve the service efficiency and the service life of the battery.
Preferably, the battery residual electric quantity calculation module can calculate and estimate the residual electric quantity of the battery in real time, and the estimation result is changed through a real-time correction algorithm, so that higher estimation precision and reliability are obtained.
Preferably, the data acquisition module is capable of fully and real-time data acquisition and transmission of the battery, including parameters such as voltage, current, temperature, humidity, etc., to provide more comprehensive battery state monitoring and feedback.
The invention is used for managing and controlling the battery through the battery management module, comprising functions of battery charging control, protection, fault detection and the like, the data acquisition module is used for acquiring data of voltage, current, temperature and the like of the battery and transmitting the data to the battery characteristic model, the battery characteristic model is used for modeling the battery, various parameters of the battery are calculated according to the characteristic parameters and environmental conditions of the battery, the parameters are transmitted to the battery residual capacity calculation module, the battery residual capacity calculation module is used for estimating the residual capacity of the battery, the electrochemical parameters calculated according to the battery characteristic model and the real-time state of the battery are calculated by utilizing the mathematical algorithm model, the result is transmitted to the battery state display module, and the battery state display module is used for displaying the residual capacity of the battery, so that the battery residual capacity can be conveniently used and managed by a user.
Drawings
FIG. 1 is a block diagram of the overall system of the present invention;
FIG. 2 is a diagram of a battery management module assembly according to the present invention;
FIG. 3 is a diagram of the components of the data acquisition module of the present invention.
Detailed Description
In the following, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
The invention provides a technical scheme that: an intelligent battery remaining power estimation system, comprising the following steps:
including battery management module, data acquisition module, battery characteristic model, battery residual capacity calculation module and battery state display module, its characterized in that: the battery management module comprises a battery control chip, an independent protection chip and a fault detection module, the data acquisition module comprises a voltage acquisition module, a current acquisition module and a temperature acquisition module, the residual electric quantity calculation module of the battery agent estimates the residual electric quantity of the battery through a mathematical algorithm model, and the battery state display module adopts digital display and graphical display to visually display the residual electric quantity of the battery.
The battery control chip is used for controlling the charging process of the battery and is responsible for charging and discharging control of the battery, the independent protection chip is used for protecting the battery, when parameters such as the voltage, the current and the like of the battery exceed the expected setting range, the charging process of the battery can be cut off in time, the battery is protected from being damaged, the fault detection module is used for detecting the fault of the battery, and when the battery is in fault, the battery can be timely warned to prompt a user to enter the process;
the mathematical algorithm model belongs to a mathematical algorithm model based on battery characteristic parameters and environmental conditions, can stably calculate the residual electric quantity of the battery, and simultaneously, the algorithm logic considers the real-time state of the battery for correction so as to improve the estimation accuracy and stability; the battery characteristic model can model different types of batteries, including various types of batteries such as a lithium battery, a lead-acid battery, a nickel krypton battery, a lithium iron phosphate battery and the like, so as to adapt to the requirements of different application scenes; the data acquisition module can monitor the battery in real time, and comprises acquisition and transmission of parameters such as voltage, current quantity, temperature and the like so as to provide accurate battery residual electricity quantity calculation; the battery state display module can monitor and feed back the state of the battery in real time, such as the display and early warning of the residual capacity, the charging state, the health state and other parameters of the battery, so as to improve the service efficiency and the service life of the battery; the battery residual capacity calculation module can calculate and estimate the residual capacity of the battery in real time, and change the estimation result through a real-time correction algorithm to obtain higher estimation precision and reliability; the data acquisition module can fully acquire and transmit data of the battery in real time, including parameters such as voltage, current, temperature, humidity and the like, so as to provide more comprehensive battery state monitoring and feedback.
Example two
The system comprises the following steps:
the battery management module comprises a battery control chip, an independent protection chip and a fault detection module. The battery control chip is used for controlling the charging and discharging processes of the battery, and the charging and discharging control of the battery is realized. The independent protection chip is used for protecting the battery, and when parameters such as the voltage, the current and the like of the battery exceed the expected setting range, the charging process of the battery can be cut off in time, so that the battery is protected from being damaged. The fault detection module is used for detecting faults of the battery, and when the battery fails, the fault detection module can give an alarm in time to prompt a user to enter processing.
The data acquisition module comprises a voltage acquisition module, a current acquisition module and a temperature acquisition module. The voltage acquisition module is used for acquiring voltage data of the battery, the current acquisition module is used for acquiring current data of the battery, and the temperature acquisition module is used for acquiring temperature data of the battery. The collected data can be transmitted to the battery characteristic model for processing through the data transmission module.
The battery characteristic model is used for modeling the battery, and the construction model mainly comprises the following steps:
(1) Extracting characteristic parameters: extracting characteristic parameters of the battery according to the model and specification of the battery, wherein the characteristic parameters comprise the standard quantity, internal resistance and other parameters of the battery;
(2) Environmental condition measurement: the temperature of the battery is measured through a temperature acquisition module, and parameters such as the humidity of the environment where the battery is positioned are measured through a humidity acquisition module;
(3) Electrochemical parameter calculation: according to the characteristic parameters and the environmental conditions, electrochemical parameters of the battery are calculated, including parameters such as the position of the battery, the charge transfer coefficient and the like;
(4) Parameter transmission: and transmitting the calculated electrochemical parameters to a cell stack residual electric quantity calculation module for processing.
The battery residual capacity calculation module is used for estimating the electrolytic residual capacity of the electrolytic cell, and the estimation procedure mainly comprises the following steps:
(1) And (3) monitoring the real-time state: the method comprises the steps of collecting real-time states of a battery through a data collecting module, wherein the real-time states comprise parameters such as voltage, current and temperature of the battery;
(2) Mathematical algorithm model calculation: estimating the residual electric quantity of the battery by using a mathematical algorithm model, and calculating the residual electric quantity of the battery according to the electrochemical parameters and the real-time state of the battery;
(3) Residual electric quantity display: and the calculated residual battery power is displayed, so that the use and management of a user are facilitated.
The battery state display module is used for displaying the residual electric quantity of the battery, and a digital display or graphical display mode is adopted, so that the use and management of a user are facilitated.
In summary, the battery management module is used for managing and controlling the battery, including functions such as battery charging control, protection and fault detection, the data acquisition module is used for acquiring data such as voltage, current and temperature of the battery, and transmitting the data to the battery characteristic model, the battery characteristic model is used for modeling the battery, various parameters of the battery are calculated according to the characteristic parameters and environmental conditions of the battery, the parameters are transmitted to the battery residual capacity calculation module, the battery residual capacity calculation module is used for estimating the residual capacity of the battery, the electrochemical parameters calculated according to the battery characteristic model and the real-time state of the battery are used for calculating the residual capacity of the battery by using the mathematical algorithm model, and the result is transmitted to the battery state display module, and the battery state display module is used for displaying the residual capacity of the battery, so that the battery residual capacity can be monitored in real time and the battery residual capacity monitoring and display accuracy are improved.
While the fundamental and principal features of the invention and advantages of the invention have been shown and described, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (8)
1. The utility model provides an intelligent battery residual capacity estimation system, includes battery management module, data acquisition module, battery characteristic model, battery residual capacity calculation module and battery state display module, its characterized in that: the battery management module comprises a battery control chip, an independent protection chip and a fault detection module, the data acquisition module comprises a voltage acquisition module, a current acquisition module and a temperature acquisition module, the residual electric quantity calculation module of the battery agent estimates the residual electric quantity of the battery through a mathematical algorithm model, and the battery state display module adopts digital display and graphical display to visually display the residual electric quantity of the battery.
2. The intelligent battery remaining capacity estimation system according to claim 1, wherein the battery control chip is used for controlling a charging process of the battery and is responsible for charging and discharging control of the battery, the independent protection chip is used for protecting the battery, when parameters such as voltage, current and the like of the battery exceed expected setting ranges, the charging process of the battery can be cut off in time, the battery is protected from being damaged, the fault detection module is used for detecting faults of the battery, and when the battery fails, a prompt user can be given out an alarm in time to prompt the user to enter the process.
3. The intelligent battery remaining power estimation system according to claim 1, wherein the mathematical algorithm model belongs to a mathematical algorithm model based on battery characteristic parameters and environmental conditions, and can calculate the remaining power of the battery stably, and the algorithm logic considers the real-time state of the battery to correct, so as to improve the estimation accuracy and stability.
4. The intelligent battery remaining power estimation system of claim 1, wherein the battery characteristic model is capable of modeling different types of batteries, including various types of batteries such as lithium batteries, lead-acid batteries, nickel krypton batteries, lithium iron phosphate batteries, and the like, so as to adapt to requirements of different application scenarios.
5. The intelligent battery remaining power estimation system of claim 1, wherein the data acquisition module monitors the battery in real time, including the acquisition and transmission of voltage, current, temperature, etc. parameters to provide accurate battery remaining power calculations.
6. The intelligent battery remaining power estimation system according to claim 1, wherein the battery status display module is capable of monitoring and feeding back the status of the battery in real time, such as displaying and pre-warning parameters of the remaining power, the state of charge, the state of health, etc. of the battery, so as to improve the service efficiency and the lifetime of the battery.
7. The intelligent battery remaining capacity estimation system according to claim 1, wherein the battery remaining capacity calculation module can calculate and estimate the remaining capacity of the battery in real time, and change the estimation result through a real-time correction algorithm to obtain higher estimation precision and reliability.
8. The intelligent battery remaining power estimation system of claim 1, wherein the data acquisition module is capable of substantially real-time data acquisition and transmission of the battery, including parameters such as voltage, current, temperature, humidity, etc., to provide more comprehensive battery status monitoring and feedback.
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| CN202310597214.0A CN116754976A (en) | 2023-05-25 | 2023-05-25 | Intelligent battery residual electric quantity estimation system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117519448A (en) * | 2024-01-04 | 2024-02-06 | 深圳市佩城科技有限公司 | Service time warning system and method for tablet personal computer |
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