CN115113081A - Battery internal resistance online monitoring system and method - Google Patents
Battery internal resistance online monitoring system and method Download PDFInfo
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- CN115113081A CN115113081A CN202210787950.8A CN202210787950A CN115113081A CN 115113081 A CN115113081 A CN 115113081A CN 202210787950 A CN202210787950 A CN 202210787950A CN 115113081 A CN115113081 A CN 115113081A
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- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000012544 monitoring process Methods 0.000 title claims abstract description 20
- 239000003990 capacitor Substances 0.000 claims abstract description 18
- 238000012545 processing Methods 0.000 claims abstract description 9
- 238000005070 sampling Methods 0.000 claims abstract description 6
- 238000005259 measurement Methods 0.000 claims abstract description 3
- 238000004146 energy storage Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 5
- 238000007599 discharging Methods 0.000 claims description 2
- 238000001914 filtration Methods 0.000 claims description 2
- 230000000087 stabilizing effect Effects 0.000 claims description 2
- 230000001629 suppression Effects 0.000 claims 1
- 238000004088 simulation Methods 0.000 description 11
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 5
- 229910052744 lithium Inorganic materials 0.000 description 5
- 230000002457 bidirectional effect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000005284 excitation Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 238000002347 injection Methods 0.000 description 2
- 239000007924 injection Substances 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000002401 inhibitory effect Effects 0.000 description 1
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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]
- G01R31/389—Measuring internal impedance, internal conductance or related variables
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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]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
-
- 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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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
- Tests Of Electric Status Of Batteries (AREA)
- Measurement Of Resistance Or Impedance (AREA)
Abstract
The invention relates to a system and a method for on-line monitoring of internal resistance of a battery, wherein the method comprises the following steps: 1) on-line measurement of PWM ripple current i on converter input capacitance by input capacitance current sensor Cin And measuring PWM ripple current i on the filter inductor of the converter on line through the filter inductor current sensor PWM (ii) a 2) Acquiring PWM ripple current i on input capacitor of converter through signal processing and A/D sampling module Cin Amplitude of (I) Cin And PWM ripple current i on filter inductor of converter PWM Rate of change di PWM (dt); 3) and calculating the internal resistance of the battery. Compared with the prior art, the method has the advantages of safety, simplicity, convenience, accuracy and the like.
Description
Technical Field
The invention relates to the technical field of battery detection, in particular to a system and a method for on-line monitoring of internal resistance of a battery.
Background
With the continuous maturity of the technology, the price of the battery (especially the lithium battery) is continuously reduced, and the battery becomes the mainstream electric energy storage technology in the market, and is widely applied to the fields of electric vehicles, Uninterruptible Power Supplies (UPS) and the like. The method for timely and accurately acquiring the running state information of the battery by monitoring the impedance on line is an important means for improving the safety and reliability of a battery system.
The existing online monitoring method for the internal resistance of the battery mainly comprises an injection method, a disturbance method and the like, wherein the injection method injects a specific excitation signal into the battery through an external power supply, and then measures the voltage and the current of the battery to estimate the internal resistance of the battery; the disturbance method applies disturbance excitation through PWM duty ratio modulation of a DC-DC converter, and then measures the voltage and current of a battery to estimate the internal resistance of the battery, however, the method can interfere with the steady-state operation of a battery system to a certain extent and influence the internal resistance monitoring performance.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, and provides a system and a method for on-line monitoring of internal resistance of a battery.
The purpose of the invention can be realized by the following technical scheme:
compared with the prior art, the invention has the following advantages:
1) safe and disturbance-free: the method uses the self-excitation signal in the system, does not need additional excitation, and adopts a non-contact sensor, so that the normal operation of the system can not be disturbed.
2) The implementation is simple and convenient: in an actual system, the filter inductance current of the converter is usually provided with an existing current sensor, and the method only needs to add a current sensor at the input capacitor side of the converter, so that the engineering implementation is easy.
3) The accuracy is higher: when the traditional method is used for estimating the internal resistance of the battery, the internal resistance error of the battery caused by the phase deviation of the alternating voltage and current signal measurement cannot be avoided.
Drawings
Fig. 1 is a system structure diagram of an on-line battery internal resistance monitoring system according to the present invention.
Fig. 2 is a flow chart of a method for on-line monitoring of internal resistance of a battery according to the present invention.
Fig. 3 is a diagram illustrating a filter inductor current and an input capacitor current of the converter.
FIG. 4 is an MATLAB simulation model of a lithium battery energy storage system with a bidirectional DC-DC converter.
Fig. 5 is a waveform diagram of the simulation result.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments.
As shown in FIG. 1, the invention provides an on-line monitoring system for internal resistance of a battery, which comprises a battery, a DC-DC converter, a converter input capacitor, a converter filter inductor, a filter inductor current sensor, an input capacitor current sensor, a signal processing and A/D sampling module and an impedance calculating module.
The function of each component is described as follows:
(1) a battery: an electrical energy storage element; the internal resistance of the device can be monitored on line to effectively reflect the running state of the device;
(2) a DC-DC converter: converting and controlling the charging and discharging electric energy of the battery;
(3) converter input capacitance: the small capacitor is arranged on the battery side of the DC-DC converter and is used for stabilizing voltage and filtering high-frequency noise of the DC-DC converter;
(4) the filter inductance of the converter is as follows: the inductor is arranged on the battery side of the DC-DC converter and is used for inhibiting PWM (pulse-width modulation) ripple current of the DC-DC converter;
(5) filter inductor current sensor: a current sensor arranged on the inductance branch of the filter of the DC-DC converter for extracting the PWM ripple current i on the filter inductance PWM ；
(6) Input capacitive current sensor: a current sensor mounted on the input capacitor branch for extracting PWM ripple current i on the input capacitor Cin ；
(7) The signal processing and A/D sampling module: PWM ripple current on the input capacitor and PWM ripple current on the filter inductor measured by the sensor are fed into the filterProcessing the line signal to obtain the input capacitance current amplitude I Cin And the rate of change di of the converter filter inductor current PWM /dt；
(8) An impedance calculation module: for input capacitance current amplitude I Cin And the rate of change di of the converter filter inductor current PWM The calculation processing is carried out on the/dt to obtain the internal resistance R of the battery Bat 。
Based on the above-mentioned system for on-line monitoring of the internal resistance of the battery, the present invention also provides a method for on-line monitoring of the internal resistance of the battery, as shown in fig. 2, the method comprises the following steps:
1) measuring PWM ripple current i on input capacitance by current sensor Cin And PWM ripple current i on filter inductor of converter PWM 。
2) Acquiring amplitude I of PWM ripple current on input capacitor through signal processing and A/D sampling module Cin And rate of change di of PWM ripple current on the filter inductor of the converter PWM /dt。
3) Using input capacitance current amplitude I Cin And the rate of change di of the converter filter inductor current PWM (dt) calculating the internal resistance R of the battery Bat ＝I Cin /(C in (di PWM Dt)) in which C in Is the input capacitance of the converter, I Cin And di PWM The graph of/dt is shown in FIG. 3.
Examples
In the embodiment, a typical 24V/6.6Ah lithium battery energy storage system simulation model with a bidirectional DC-DC converter is built in MATLAB, as shown in FIG. 4, and relevant parameters in the model are shown in Table 1.
TABLE 1 simulation parameters for lithium battery energy storage systems with bidirectional DC-DC converters
| Voltage of |
24V |
| Capacity of battery | 6.6Ah |
| Battery inductance L HF | 300nH |
| Battery resistance R Bat | 360mΩ |
| Input capacitance ESR | 15mΩ |
| Input capacitance ESL | 100nH |
| Input capacitance C in | 1μF |
| Filter inductor L of converter | 330μH |
| Input voltage of DC- |
24V |
| Output voltage of DC-DC converter | 70V |
| DC-DC converter output resistor | 100Ω |
In the simulation circuit, firstly, the internal resistance of the lithium battery is set to 360m omega according to the parameters in the table 1, and the PWM ripple current i on the filter inductor of the converter is respectively measured in experiments PWM And PWM ripple current i on input capacitor Cin The simulation results are shown in fig. 5.
The current result of the converter filter inductor and the input capacitor obtained through simulation can be used for calculating that the internal resistance of the battery is 362m omega and is basically consistent with the set internal resistance of the battery of 360m omega.
Further setting different input capacitances C in And different internal resistance R of the battery Bat And respectively calculating the internal resistance of the battery according to the simulation results under different working conditions to obtain the simulation results shown in the table 2. The simulation result is consistent with the theoretical value.
TABLE 2 simulation results of on-line monitoring of battery internal resistance under different working conditions
Claims (4)
1. An on-line monitoring system for internal resistance of battery is characterized in that the system comprises:
a battery to be monitored: an electrical energy storage element;
DC-DC converter: the input end is connected with the anode and the cathode of the battery and is used for converting and controlling the charging and discharging electric energy of the battery;
converter input capacitance: the DC-DC converter is connected in parallel to the battery side of the DC-DC converter and used for stabilizing voltage and filtering high-frequency noise of the DC-DC converter;
the filter inductance of the converter is as follows: the PWM ripple current suppression circuit is arranged on the battery side of the DC-DC converter and used for suppressing the PWM ripple current of the DC-DC converter;
filter inductor current sensor: arranged on the inductor branch at the battery side of the filter of the DC-DC converter for extracting the PWM ripple current i on the filter inductor of the converter PWM ；
Input capacitive current sensor: a capacitor branch circuit arranged on the filter battery side of the DC-DC converter for extracting PWM ripple current i on the input capacitor of the converter Cin ；
The signal processing and A/D sampling module: for measuring the PWM ripple current i on the input capacitor of the converter Cin And PWM ripple current i on filter inductor of converter PWM Signal processing is carried out to obtain the current amplitude I of the input capacitor Cin And the rate of change di of the converter filter inductor current PWM /dt；
An impedance calculation module: for input capacitance current amplitude I Cin And the rate of change di of the converter filter inductor current PWM The calculation processing is carried out on the/dt to obtain the internal resistance R of the battery Bat 。
2. The method for monitoring the internal resistance of the battery on line by using the system for monitoring the internal resistance of the battery according to claim 1 is characterized in that the method realizes on-line, non-contact and continuous monitoring of the internal resistance of the battery through PWM ripple current generated on an input capacitor of a converter by a DC-DC converter.
3. The method for monitoring the internal resistance of the battery on line according to claim 2, which is characterized by comprising the following steps:
1) on-line measurement of PWM ripple current i on converter input capacitance by input capacitance current sensor Cin And measuring PWM ripple current i on the filter inductor of the converter on line through the filter inductor current sensor PWM ；
2) Acquiring PWM ripple current i on input capacitor of converter through signal processing and A/D sampling module Cin Amplitude of (I) Cin And PWM ripple current i on filter inductor of converter PWM Rate of change di PWM /dt；
3) And calculating the internal resistance of the battery.
4. The on-line monitoring method for the internal resistance of the battery as claimed in claim 3, wherein in the step 3), the internal resistance R of the battery is Bat The calculation formula of (A) is as follows:
R Bat ＝I Cin /(C in (di PWM /dt))
wherein, C in The converter input capacitance.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210787950.8A CN115113081B (en) | 2022-07-04 | 2022-07-04 | Online monitoring system and method for internal resistance of battery |
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| CN202210787950.8A CN115113081B (en) | 2022-07-04 | 2022-07-04 | Online monitoring system and method for internal resistance of battery |
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