CN101071160A - Cell health state diagnosis method - Google Patents
Cell health state diagnosis method Download PDFInfo
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- CN101071160A CN101071160A CN 200610078848 CN200610078848A CN101071160A CN 101071160 A CN101071160 A CN 101071160A CN 200610078848 CN200610078848 CN 200610078848 CN 200610078848 A CN200610078848 A CN 200610078848A CN 101071160 A CN101071160 A CN 101071160A
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Abstract
The invention is a method for diagnosing battery health state, comprising the steps of: providing discharge voltage and current data of a battery; setting a preset time interval and acceptable values of discharge current variation in the preset time interval; analyzing the changes of the discharge voltage and current data in the preset time interval; recording the discharge voltage and current data and the change data; comparing the discharge voltage data with the change data within the acceptable values of discharge current variation; and displaying the comparative result with a health state diagnosis pointer.
Description
Technical field
The invention relates to a kind of diagnostic method of cell health state, particularly measure sparking voltage and the discharge current data of battery in a preset time interval, diagnose the diagnostic method of pointer with the variation that obtains this sparking voltage and discharge current data as the health status (state of health) of this battery about utilizing.
Background technology
Along with development of science and technology, the instrument and equipment that many computing machines are relevant needs high power supply quality in recent years.When if power breakdown takes place, these instrument and equipments, for example workstation, Medical Devices and production machine etc. may be subjected to CR Critical influence or destruction.In order to satisfy the demand that stabilized power source in time is provided, to prevent the interruption of power supply, provide high-quality power supply, with as standby power supply so generally be extensive use of battery.Battery is except providing high-quality power supply, and it also can be used as energy storage component, and for example communication apparatus, Emergency Light equipment and electric vehicle etc. all need to adopt battery as its power supply.Yet in the long-term use of battery, aging or deterioration must take place in battery, thereby must measure the health status of battery.
Take place to wear out about battery, the lead-acid battery senile cause comprises nonreversibility, short circuit and the dehydration etc. of electrode corrosion, electrode active material decline, active substance lead sulfate.In addition, when some assembly of battery itself presents aging deterioration, also cause the battery phenomenon that its discharge curve deforms in discharge process.
Generally speaking, the battery status analytical approach comprises cell capacity analysis method, battery discharge voltage coup de fout analytical approach, battery impedance analytical approach, battery charging and discharging mode of operation analytical approach or utilizes artificial intelligence analytical approach etc.
When adopting the cell capacity analysis method, because battery capacity is limited by condition element influences such as charge condition, discharge current, storage temperature and battery initial conditions, so there are many uncertain factors in its analysis result.In addition, when adopting battery discharge voltage coup de fout analytical approach or battery impedance analytical approach, it all needs to adopt fine measuring instrument, so it has the shortcoming that increases equipment cost.If when adopting battery charging and discharging mode of operation analytical approach or adopting the artificial intelligence analytical approach, then its analytical approach has too complicated shortcoming.
Existing battery status analytical approach, as No. the 6668247th, United States Patent (USP), its announcement utilizes the variation of internal battery impedance and the data of the number of times that battery charging and discharging uses, and after analyzing via fuzzy system, can determine cell health state.Yet, adopt this battery status analytical approach on hardware, must dispose basic equipment, as signal generator, impedance measurement device, voltage and current measurement device and microcomputer controller etc., analyze via a fuzzy system again, this fuzzy system is trained by internal battery impedance, battery charging and discharging number of times and cell health state mutual relationship then must, and so this fuzzy system can determine the health status of battery.
As mentioned above, No. 6668247 battery status analytical approach need adopt high complexity system, but because the internal battery impedance value is very little, its only approximate number microhm (m Ω) to tens of microhms (m Ω), therefore its signal generator that adopts and impedance measurement device are except must be very accurate, also still necessary regular calibration, otherwise will cause error constantly to enlarge.In addition, the battery of various labels has battery behavior inequality, so when carrying out the fuzzy system training, must be according to various label battery training to be measured.If when taking place to have trained the battery behavior of fuzzy system not to be inconsistent with battery behavior to be measured, it need comply with battery behavior to be measured train this fuzzy system more again, so this battery status analytical approach has the shortcoming of high numerous and diverse degree when reality is used.
Another existing battery status analytical approach, as No. the 6362601st, United States Patent (USP), its announcement utilizes the influence that degree that the inside battery pole plate degenerates or both inner pad reduce battery capacity and the operating temperature of battery, and then decision provides enough charge volumes to battery.On the other hand, this battery status analytical approach also utilizes the voltage of battery when finishing charging to analyze health status simultaneously, and it is whether to drop on the health status that mode in the built-in Jiankang state limited window is judged battery by the voltage of battery when finishing charging.
As mentioned above, No. 6362601 battery status analytical approach utilizes the relation curve of inside battery pole plate and self-discharge of battery, the battery discharge degree of depth and cell degradation to represent the degree that the inside battery pole plate is degenerated.In addition, the battery of general various labels has battery behavior inequality, so when the opening relationships curve, must set up various relation curves according to various label batteries to be measured.Therefore, if this method must be one by one during according to various label battery opening relationships curve, it has uses complicated shortcoming.In addition, No. 6362601 the battery status analytical approach relates to charge function in addition, when only needing battery Jiankang state deixis as if field apparatus, and this method and inapplicable this demand.
In view of this, the present invention is in order to improve above-mentioned shortcoming, it adopts the discharge voltage data mode of battery in a preset time interval of measuring, diagnose pointer with the variation that obtains this discharge voltage data as the health status of this battery, so the present invention can directly analyze cell health state and simplify analytical approach.
Summary of the invention
Fundamental purpose of the present invention provides a kind of diagnostic method of cell health state, it measures sparking voltage and the discharge current data of battery in a preset time interval, by the variation of analyzing this sparking voltage and discharge current data, health status diagnosis pointer with as this battery makes the present invention have the effect of simplifying analytical approach.
According to the diagnostic method of cell health state of the present invention, it is as follows that it comprises step: sparking voltage and discharge current data that a battery is provided; Set the acceptable value of a preset time interval and discharge current variable quantity; Analyze the interior sparking voltage of this preset time interval and the variation of discharge current data; Write down this sparking voltage, discharge current data and delta data thereof; This discharge voltage data of comparison and delta data thereof in the acceptable value of discharge current variable quantity; Reaching comparison result shows is health status diagnosis pointer.
According to the diagnostic method of cell health state of the present invention, wherein provide the sparking voltage and discharge current data to a database of this battery through a transmission means; Wherein the operator sets this preset time interval on demand, so that measure the sparking voltage and the discharge current data of this battery in this preset time interval; Wherein the variation of this sparking voltage and discharge current data is variations that sparking voltage and discharge current data produce ascending amount or slippage; Wherein sparking voltage, discharge current data and the delta data thereof with this battery is recorded to a database; Wherein if this discharge current variable quantity in the acceptable value of this discharge current variable quantity, is then compared this discharge voltage data and delta data thereof; If this discharge current variable quantity not in the acceptable value of this discharge current variable quantity, is not then compared this discharge voltage data and delta data thereof; Wherein should the comparison mode be utilize two second phases interim between the discharge voltage data of spacing change between the numerical value and compare; Wherein should the comparison mode be to utilize for several times the discharge voltage data of time interval to change between the numerical value to compare.
Description of drawings
Fig. 1: the process block diagram of the diagnostic method of the cell health state of preferred embodiment of the present invention.
Fig. 2: the diagnostic method of preferred embodiment cell health state of the present invention is measured sparking voltage and the correlogram of change in voltage and time.
Fig. 3: the diagnostic method of preferred embodiment cell health state of the present invention is measured sparking voltage and another correlogram of change in voltage and time.
Fig. 4: the diagnostic method of preferred embodiment cell health state of the present invention measures discharge current and electric current changes and another correlogram of time.
Fig. 5: the diagnostic method of preferred embodiment cell health state of the present invention is measured sparking voltage and another correlogram of change in voltage and time.
Fig. 6: the diagnostic method of preferred embodiment cell health state of the present invention measures discharge current and electric current changes and another correlogram of time.
Fig. 7: the diagnostic method of preferred embodiment cell health state of the present invention is measured sparking voltage and another correlogram of change in voltage and time.
Symbol description:
The S10 first execution in step square S30 the 3rd execution in step square
The S20 second execution in step square S40 the 4th execution in step square
S50 the 5th execution in step square S60 the 6th execution in step square
The curve 20b change in voltage of 20a sparking voltage and time and the curve of time
The curve 30b change in voltage of 30a sparking voltage and time and the curve of time
The curve 40b electric current of 40a discharge current and time changes the curve with the time
The curve 50b change in voltage of 50a sparking voltage and time and the curve of time
The curve 60b electric current of 60a discharge current and time changes the curve with the time
The curve 70b change in voltage of 70a sparking voltage and time and the curve of time
Embodiment
For above-mentioned and other purpose of the present invention, feature, advantage can be become apparent, hereinafter will be especially exemplified by preferred embodiment of the present invention, and cooperate appended graphicly, be described in detail below.
Fig. 1 discloses the process block diagram of diagnostic method of the cell health state of preferred embodiment of the present invention, it mainly comprises six execution in step squares, and wherein the first execution in step square is that S10, the second execution in step square are that S20, the 3rd execution in step square are that S30, the 4th execution in step square are that S40, the 5th execution in step square are that S50 and the 6th execution in step square are S60.
Please refer to shown in Figure 1ly, at first, in the first execution in step square S10, it provides sparking voltage and discharge current data in order to execution.When a battery discharges, measure this battery by a measurement mechanism, with sparking voltage and the discharge current data that obtain this battery, and provide the sparking voltage and discharge current data to a database of this battery through a transmission means.Moreover, the sparking voltage and the discharge current data of this battery are provided by this database.
Referring again to shown in Figure 1, then, in the second execution in step square S20, it is in order to carry out the acceptable value of discharge current variable quantity in setting-up time spacing and this time interval.The operator can set the acceptable value of discharge current variable quantity in a preset time interval and this time interval on demand, so that measure the sparking voltage and the discharge current data of this battery in this preset time interval.
Referring again to shown in Figure 1, then, in the 3rd execution in step square S30, it is in order to the variation of execution analysis sparking voltage and discharge current data.The sparking voltage and the discharge current data of this battery have been obtained in the first execution in step square S10, in addition in second execution in step square S20 decision time interval.The variation of analyzing sparking voltage and discharge current data is the variation that sparking voltage in this preset time interval and discharge current data produce ascending amount or slippage, to obtain voltage and current change quantity, for example comprise a sparking voltage variable quantity maximal value and a sparking voltage variable quantity minimum value.
Referring again to shown in Figure 1, then, in the 4th execution in step square S40, it is in order to executive logging sparking voltage, discharge current data and delta data thereof.Sparking voltage, discharge current data and the delta data thereof of this battery are recorded to this database, and the discharge voltage data and the delta data thereof of this battery is presented on the curve map.
Referring again to shown in Figure 1, then, in the 5th execution in step square S50, it is in order to carry out comparison discharge voltage data and delta data thereof in the acceptable value of discharge current variable quantity.Sparking voltage, discharge current data and delta data thereof have been obtained in the 4th execution in step square S40, in addition in the acceptable value of second execution in step square S20 decision discharge current variable quantity, and the 5th execution in step square S50 is compared discharge voltage data and delta data thereof in the acceptable value of discharge current variable quantity, can select to adopt two kinds of comparison modes, this comparison mode is as follows:
(A), utilize two second phases interim between the discharge voltage data of spacing change between the numerical value and compare;
(B), compare between the discharge voltage data variation numerical value of utilization several time interval.
Referring again to shown in Figure 1, carry out preferable employing one arithmetic element in the comparison at the 5th execution in step square S50, as central processing unit (CPU).
Referring again to shown in Figure 1, last, in the 6th execution in step square S60, it is a health status diagnosis pointer in order to carry out comparison result shows.On the 6th execution in step square S60 carry out to show, it is preferable to provide to a display unit or a caution unit through a transmission means.
The diagnostic method that Fig. 2 discloses preferred embodiment cell health state of the present invention is measured a battery discharge voltage and the voltage change ratio curve map to the time.Please refer to shown in Figure 2ly, curve 20a shows sparking voltage and the correlation curve of time, wherein begins the moment of discharging at battery, its sparking voltage generation rapid drawdown.In addition, at the fixed time in the spacing, this sparking voltage is after beginning moment produces rapid drawdown, and it still slowly continues to descend and the situation of rapid drawdown does not take place again.Relative, curve 20b is the display voltage rate of change to the curve of time, shows that promptly the sparking voltage of curve 20a changes.Except the moment that begins to discharge at battery, the change in voltage of curve 20b continues all to maintain in the setting range, can judge that so cell health state is a kilter.
The diagnostic method that Fig. 3 discloses preferred embodiment cell health state of the present invention is measured a battery discharge voltage and voltage change ratio another curve map to the time.Please refer to shown in Figure 3ly, curve 30a shows sparking voltage and the correlation curve of time, and in the spacing, except the sparking potential generation rapid drawdown that begins to discharge at this battery, the sparking voltage of whole interdischarge interval also produces rapid drawdown several times at the fixed time.After self discharge voltage produced rapid drawdown several times, this sparking voltage continued to maintain the situation of low-voltage all the time.Relative, curve 30b is the display voltage rate of change to the curve of time, shows that promptly the sparking voltage of curve 30a changes.The change in voltage of curve 30b produces big relatively vibration when bigger the variation taken place with respect to sparking voltage, so its change in voltage exceeded a setting range, can judge that so cell health state is a defective mode, thereby need to change battery.
Fig. 4 discloses the diagnostic method of preferred embodiment cell health state of the present invention and measures another correlogram of a battery discharge current and current changing rate and time.Please refer to shown in Figure 4ly, curve 40a shows discharge current and the correlation curve of time, and in the spacing, in the whole discharge process of battery, twice variation takes place its discharge current at the fixed time.Relative, curve 40b shows that current changing rate to the correlation curve of time, shows that promptly the discharge current of curve 40a changes.The electric current of curve 40b changes produce a big vibration when changing with respect to discharge current, therefore its electric current variation has exceeded the acceptable value of this setting, and battery this moment voltage change at one time can be judged the data of not judging as cell health state.
The diagnostic method that Fig. 5 discloses preferred embodiment cell health state of the present invention measured sparking voltage and curve map of voltage change ratio and time under with respect to Fig. 4 battery discharge situation.Please refer to shown in Figure 5ly, curve 50a shows sparking voltage and the correlation curve of time, and in the spacing, this sparking voltage produces twice variation when changing with respect to discharge current at the fixed time.Curve 50b is the display voltage rate of change to the correlation curve of time, shows that promptly the sparking voltage of curve 50a changes.The change in voltage of curve 50b produces big relatively vibration when changing with respect to sparking voltage.Learn relatively that by Fig. 4 and Fig. 5 electric current changes and change in voltage is to take place the same time, therefore change under the situation of the acceptable value that exceeds this setting that battery this moment voltage change at one time can be judged not the data as cell health state at electric current.
Fig. 6 discloses the diagnostic method of preferred embodiment cell health state of the present invention and measures another correlogram of a battery discharge current and current changing rate and time.Please refer to shown in Figure 6ly, curve 60a shows discharge current and the correlation curve of time, and in the spacing, in the whole discharge process of this battery, this discharge current continues to change at the fixed time.Relative, curve 60b shows that current changing rate to the correlation curve of time, shows that promptly the discharge current of curve 60a changes.The electric current of curve 60b changes along with discharge current continues to change and also continues to vibrate, but this electric current changing value all is no more than the situation of the acceptable value of this setting, and battery this moment voltage change at one time can be in order to judge the data as cell health state.
The diagnostic method that Fig. 7 discloses preferred embodiment cell health state of the present invention measured sparking voltage and curve map of change in voltage and time under with respect to Fig. 6 battery discharge situation.Please refer to shown in Figure 7ly, curve 70a shows sparking voltage and the curve of time, at the fixed time in the spacing, and bigger twice variation of its sparking voltage generation in whole discharge process.Relative, curve 70b is the display voltage rate of change to the correlation curve of time, shows that promptly the sparking voltage of curve 0a changes.The change in voltage of curve 70b also produces big relatively vibration with respect to the bigger variation of sparking voltage the time.Relatively learn by Fig. 6 and Fig. 7, change under the situation that does not exceed a setting acceptance value at electric current, battery this moment voltage change at one time can be judged the data as cell health state, its change in voltage has exceeded a setting range simultaneously, can judge that so cell health state is a defective mode, thereby need to change battery.
Claims (8)
1, a kind of diagnostic method of cell health state, it comprises step:
The sparking voltage and the discharge current data of a battery are provided;
Set the acceptable value of a preset time interval and this preset time interval discharge current variable quantity;
Analyze the variation of this sparking voltage and discharge current data;
Write down this sparking voltage, discharge current data and delta data thereof;
This discharge voltage data of comparison and delta data thereof in the acceptable value of this setting discharge current variable quantity; Reaching comparison result shows is a health status diagnosis pointer.
2, the diagnostic method of cell health state according to claim 1 wherein provides the sparking voltage and discharge current data to a database of this battery through a transmission means.
3, the diagnostic method of cell health state according to claim 1, wherein the operator sets this preset time interval on demand, so that measure the sparking voltage and the discharge current data of this battery in this preset time interval.
4, the diagnostic method of cell health state according to claim 1, wherein the variation of this sparking voltage and discharge current data is variations that sparking voltage and discharge current data produce ascending amount or slippage.
5, the diagnostic method of cell health state according to claim 1, wherein sparking voltage, discharge current data and the delta data thereof with this battery is recorded to a database.
6, the diagnostic method of cell health state according to claim 1 is wherein if this discharge current variable quantity in the acceptable value of this discharge current variable quantity, is then compared this discharge voltage data and delta data thereof; If this discharge current variable quantity not in the acceptable value of this discharge current variable quantity, is not then compared this discharge voltage data and delta data thereof.
7, the diagnostic method of cell health state according to claim 1, wherein should the comparison mode be utilize two second phases interim between the discharge voltage data of spacing change between the numerical value and compare.
8, the diagnostic method of cell health state according to claim 1 wherein should the comparison mode be to utilize for several times the discharge voltage data of time interval to change between the numerical value to compare.
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| CN102687088A (en) * | 2009-07-31 | 2012-09-19 | 热之王公司 | Monitoring battery health in an HVAC system |
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| DE4402716C2 (en) * | 1994-01-29 | 1996-08-29 | Ibm | Estimation of the lifespan and capacity of an energy storage device |
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