CN105911471B - A kind of device and method for the health parameter calculating batteries of electric automobile - Google Patents
A kind of device and method for the health parameter calculating batteries of electric automobile Download PDFInfo
- Publication number
- CN105911471B CN105911471B CN201510593710.4A CN201510593710A CN105911471B CN 105911471 B CN105911471 B CN 105911471B CN 201510593710 A CN201510593710 A CN 201510593710A CN 105911471 B CN105911471 B CN 105911471B
- Authority
- CN
- China
- Prior art keywords
- discharge
- battery
- time
- conversion
- type
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Secondary Cells (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
Embodiment of the present invention discloses a kind of device and method of health status (SOH) parameter for calculating batteries of electric automobile.Device includes: conversion discharge time computing module, and the electric discharge type to discharge for the electric discharge total degree based on battery in the predetermined time and every time calculates the conversion discharge time of the battery；Charging times computing module is converted, the charge type to charge for the charging total degree based on battery in the predetermined time and every time calculates the conversion charging times of the battery；SOH parameter calculating module, for calculating the SOH parameter of the battery based on the conversion discharge time and the conversion charging times.
Description
Technical field
The present invention relates to automobile technical fields, more particularly, to a kind of health status for calculating batteries of electric automobile
The device and method of (State-of-Health, SOH) parameter.
Background technique
Energy shortage, oil crisis and environmental pollution grow in intensity, and bring tremendous influence, direct relation to people's lives
To the sustainable development of national economy and society.Countries in the world are all in active development new energy technology.Electric car is as a kind of
Reduce the new-energy automobile of consumption of petroleum, low pollution, low noise, it is considered to be solve the important way of energy crisis and environmental degradation
Diameter.Hybrid vehicle combines the advantage of pure electric automobile and traditional combustion engine automobile, is meeting vehicle dynamic quality requirement
Under the premise of being required with continual mileage, effectively improve fuel economy, reduce discharge, it is considered to be current energy conservation with subtract
One of active path of row.
In the cost structure of electric car, batteries of electric automobile is accounted for greatly.If batteries of electric automobile
Service life is too short, will dramatically increase electric car cost.The health status (State-of-Health, SOH) of batteries of electric automobile
One slow, irreversible change procedure is described.With being continuously increased for recycling number, batteries of electric automobile group
Health status can have a declining tendency, actually this downward trend mainly by health status decline most serious monomer electricity
The influence of electrical automobile battery, thus by cell management system of electric automobile accurately to the health status of batteries of electric automobile group into
Row estimation, the monomer batteries of electric automobile for reaching critical value to health status decline are replaced, and electronic vapour can be effectively extended
The service life of vehicle battery pack, save the cost have very high economic value, while being also the charged of power electric automobile battery
State (State of Charge, SOC) estimation, battery equalization system of electric automobile etc. provide reference frame, for pushing
The development of electric car cause is of great significance.
In the prior art, SOH parameter can be estimated based on charge and discharge total degree, wherein not distinguishing charge type (such as
Quick charge and charge at a slow speed) and electric discharge type (such as repid discharge and at a slow speed electric discharge) difference.However, charging behavior and electric discharge
Behavior has biggish individual difference, if do not distinguished to charge type and electric discharge type, calculated SOH is caused to join
Number accuracy is not high.
Moreover, as battery uses battery capacity that can reduce for a long time, remaining capacity (SOC) value calculated in the prior art
It can not really reflect the real remaining capacity of battery.
Summary of the invention
The purpose of the present invention is to propose to a kind of devices of SOH parameter for calculating batteries of electric automobile, to improve SOH parameter
Accuracy.
Another object of the present invention is a kind of method for proposing SOH parameter for calculating batteries of electric automobile, to improve
The accuracy of SOH.
The one side of embodiment according to the present invention proposes a kind of device of SOH parameter for calculating batteries of electric automobile, should
Device includes:
Discharge time computing module is converted, for the electric discharge total degree based on battery described in the predetermined time and electric discharge every time
Electric discharge type, calculate the conversion discharge time of the battery；
Charging times computing module is converted, for the charging total degree based on the battery in the predetermined time and every time
The charge type of charging calculates the conversion charging times of the battery；
SOH parameter calculating module, for calculating the electricity based on the conversion discharge time and the conversion charging times
The SOH parameter in pond.
Preferably, the electric discharge type includes repid discharge type and electric discharge type at a slow speed；
Discharge time computing module is converted, for determining the electric discharge discharged every time based on the electric discharge attribute to discharge every time
Type, the electric discharge attribute includes at least one of following: discharge current, depth of discharge and the velocity of discharge；It is described quick
The first weight is arranged in electric discharge type, the second weight is arranged for the electric discharge type at a slow speed, wherein the second weight is less than the first weight；
By the product of the discharge time of repid discharge type and first weight and the discharge time of electric discharge type at a slow speed and described the
The product of two weights is summed, and the conversion discharge time of the battery is obtained.
Preferably, the charge type includes quick charge type and charge type at a slow speed；
Charging times computing module is converted, for determining the charging charged every time based on the charging attribute to charge every time
Type, the charging attribute includes at least one of following: charging current, depth of charge and charging rate；It is described quick
Third weight is arranged in charge type, the 4th weight is arranged for the charge type at a slow speed, wherein the 4th weight is less than third weight；
By the product of the charging times of quick charge type and the third weight and the charging times of charge type at a slow speed and described the
The product of four weights is summed, and the conversion charging times of the battery are obtained.
Preferably, SOH parameter calculating module, for the conversion discharge time and the conversion charging times to be summed,
To obtain conversion charge and discharge total degree；Based on pre-save conversion charge and discharge total degree and SOH parameter between corresponding relationship,
Calculate the SOH parameter for corresponding to the conversion charge and discharge total degree.
Preferably, further includes:
Remaining capacity computing module, for calculating the remaining capacity soc of the battery based on the SOH parameter；
Wherein A is the current capacities of the battery；B is the initial capacity of the battery；Soh is the SOH parameter.
A kind of another aspect of embodiment according to the present invention, it is also proposed that SOH parameter for calculating batteries of electric automobile
Method, this method comprises:
Electric discharge total degree based on battery described in the predetermined time and the electric discharge type to discharge every time, calculate the battery
Convert discharge time；
Charging total degree based on the battery in the predetermined time and the charge type to charge every time, calculate the electricity
The conversion charging times in pond；
The SOH parameter of the battery is calculated based on the conversion discharge time and the conversion charging times.
Preferably, the electric discharge type includes repid discharge type and electric discharge type at a slow speed；
Before the conversion discharge time for calculating the battery, this method comprises: true based on the electric discharge attribute to discharge every time
The fixed electric discharge type to discharge every time, wherein the electric discharge attribute includes at least one of following: discharge current, electric discharge are deep
Degree and the velocity of discharge；
The conversion discharge time for calculating battery includes: that the first weight is arranged for the repid discharge type, is described
The second weight is arranged in electric discharge type at a slow speed, wherein the second weight is less than the first weight；By the discharge time of repid discharge type with
The product of first weight is summed with the product of the discharge time of electric discharge type at a slow speed and second weight, obtains the electricity
The conversion discharge time in pond.
Preferably, the charge type includes quick charge type and charge type at a slow speed；
Before the conversion charging times for calculating the battery, this method further include: based on the charging attribute to charge every time
Determine the charge type to charge every time, the charging attribute includes at least one of following: charging current, depth of charge
And charging rate；
The conversion charging times for calculating battery include: that third weight is arranged for the quick charge type, are described
The 4th weight is arranged in charge type at a slow speed, wherein the 4th weight is less than third weight；By the charging times of quick charge type with
The product of the third weight is summed with the product of the charging times of charge type at a slow speed and the 4th weight, obtains the electricity
The conversion charging times in pond.
Preferably, the healthy shape that the battery is calculated based on the conversion discharge time and the conversion charging times
State parameter includes:
The conversion discharge time and the conversion charging times are summed, to obtain conversion charge and discharge total degree；It is based on
Corresponding relationship between the conversion charge and discharge total degree pre-saved and health parameter calculates and corresponds to the conversion charge and discharge
The health parameter of electric total degree.
Preferably, further includes:
The remaining capacity soc of the battery is calculated based on the health parameter；
Wherein A is the current capacities of the battery；B is the initial capacity of the battery；Soh is health status ginseng
Number.
It can be seen from the above technical proposal that in embodiments of the present invention, conversion discharge time computing module is based on pre-
Fix time interior battery electric discharge total degree and the electric discharge type that discharges every time, calculate the conversion discharge time of battery；Conversion charging
Charging total degree of the number computing module based on battery in the predetermined time and the charge type to charge every time, calculate the conversion of battery
Charging times；Health parameter computing module calculates the SOH parameter of battery based on conversion discharge time and conversion charging times.
It can be seen that being different from the prior art refusing distinctively the charge type of charging behavior (or electric discharge type of electric discharge behavior)
It is unified to count, the present invention is based on charging attribute (including charging current, depth of charge and charging rate, etc.) to charging behavior into
Row it is careful differentiation to determine quick charge type and at a slow speed charge type, based on charging attribute (including discharge current, electric discharge deeply
Degree and the velocity of discharge, etc.) careful differentiation is carried out to determine repid discharge type and at a slow speed electric discharge type, so to electric discharge behavior
Afterwards it is respectively that corresponding weight is respectively set in different charge type and electric discharge type, and counts conversion discharge time and conversion is filled
Electric number, then the SOH parameter based on conversion discharge time and conversion charging times calculating battery, so as to improve SOH parameter
Accuracy.
Moreover, can accurately calculate SOC based on the calculated SOH parameter of mode of the present invention, and SOC is being provided just to user
True prompt information.
Detailed description of the invention
Only illustratively description and explain the present invention for the following drawings, not delimit the scope of the invention.
Fig. 1 is the structure drawing of device that the battery SOH parameter of electric car is calculated according to the present invention.
Fig. 2 is the method flow diagram that the battery SOH parameter of electric car is calculated according to the present invention.
Fig. 3 is to calculate the method flow diagram of battery SOH parameter according to first embodiment of the invention.
Fig. 4 is to calculate the method flow diagram of battery SOH parameter according to second embodiment of the invention.
Fig. 5 is to calculate the method flow diagram of battery SOH parameter according to third embodiment of the invention.
Specific embodiment
In order to which the technical features, objects and effects of invention are more clearly understood, the Detailed description of the invention present invention is now compareed
Specific embodiment, identical label indicates identical part in the various figures.
It is succinct and intuitive in order to what is described, hereafter by describing several representative embodiments come to side of the invention
Case is illustrated.A large amount of details is only used for helping to understand the solution of the present invention in embodiment.However, it will be apparent that of the invention
Technical solution can be not limited to these details when realizing.In order to avoid unnecessarily having obscured the solution of the present invention, Yi Xieshi
It applies mode not described meticulously, but only gives frame.Hereinafter, " comprising " refers to " including but not limited to ", " root
According to ... " refer to " according at least to ..., but be not limited to according only to ... ".Due to the speech habits of Chinese, hereinafter without spy
When not pointing out the quantity of an ingredient, it is meant that the ingredient is either one or more, or can be regarded as at least one.
In embodiments of the present invention, different from the prior art to (or the electric discharge behavior of the charge type of charging behavior
Electric discharge type) not distinctively unify to count, but based on charging attribute (including charging current, depth of charge and charging rate,
Etc.) careful differentiation is carried out to determine quick charge type and at a slow speed charge type, based on charging attribute (packet to charging behavior
Include discharge current, depth of discharge and velocity of discharge, etc.) careful differentiation is carried out to determine repid discharge type to electric discharge behavior
Corresponding weight is respectively set in electric discharge type at a slow speed, respectively different charge types and electric discharge type, and counts conversion and put
Electric number and conversion charging times, then the SOH parameter based on conversion discharge time and conversion charging times calculating battery.
Fig. 1 is the structure drawing of device that batteries of electric automobile SOH parameter is calculated according to the present invention.
The battery of electric car specifically can be implemented are as follows: nickel hydrogen storage battery group；Lead-acid batteries；Li-ion batteries piles；
Nickel-zinc storage battery group；Sodium sulfur storage battery group；Zinc-air battery；Flying wheel battery；Supercapacitor；Fuel cell, etc..
As shown in Figure 1, being stored with charge and discharge power information record file 104 in the device 100.Charge and discharge power information records file
Record has battery charging total degree in the given time, electric discharge total degree, the charging attribute to charge every time and each in 104
The electric discharge attribute of electric discharge.
Specifically, electric discharge attribute includes at least one of following: discharge current, depth of discharge and the velocity of discharge；Charging
Attribute includes at least one of following: charging current, depth of charge and charging rate.
Discharge current is the electric current formed when battery releases stored electric energy to load；Depth of discharge is the appearance that battery is released
Amount accounts for the percentage of its rated capacity；The velocity of discharge is the capacity that battery is released in the given time.In general, discharge current
Bigger, the service life of battery is shorter；Depth of discharge is deeper, and the service life of battery is also shorter；The velocity of discharge is faster, and the service life of battery gets over
It is short.
Input current when charging current is battery storage electric energy.Depth of charge is that the capacity of battery storage accounts for its specified appearance
The percentage of amount.Charging rate is the capacity that battery is filled in the given time.In general, charging current is bigger, battery
Service life is shorter；Depth of charge is deeper, and the service life of battery is also shorter；Charging rate is faster, and the service life of battery is shorter.
The device 100 includes:
Discharge time computing module 101 is converted, for the electric discharge total degree based on battery in the predetermined time and electric discharge every time
Electric discharge type, calculate the conversion discharge time of battery；
Charging times computing module 102 is converted, is filled for the charging total degree based on battery in the predetermined time and every time
The charge type of electricity, calculates the conversion charging times of battery；
SOH parameter calculating module 103, for calculating the SOH ginseng of battery based on conversion discharge time and conversion charging times
Number.
Preferably, the present apparatus 100 can be applied in battery management system (BMS).
In one embodiment: electric discharge type includes repid discharge type and electric discharge type at a slow speed；Convert discharge time
Computing module 101, for determining the electric discharge type to discharge every time based on the electric discharge attribute to discharge every time.
Conversion discharge time computing module 101 can determine the electric discharge class discharged every time based on one or more electric discharge attributes
Type.
For example, then converting electric discharge time when the discharge current of certain electric discharge is greater than preset discharge current threshold value
Number computing module 101 determines that this time electric discharge is repid discharge, when the discharge current of certain electric discharge is not more than preset electric discharge
When current threshold, then converts discharge time computing module 101 and determine this time electric discharge to discharge at a slow speed.
For example, then converting electric discharge time when the depth of discharge of certain electric discharge is greater than preset depth of discharge threshold value
Number computing module 101 determines that this time electric discharge is repid discharge, when the depth of discharge of certain electric discharge is not more than preset electric discharge
When depth threshold value, then converts discharge time computing module 101 and determine this time electric discharge to discharge at a slow speed.
For example, then converting electric discharge time when the velocity of discharge of certain electric discharge is greater than preset velocity of discharge threshold value
Number computing module 101 determines that this time electric discharge is repid discharge, when the velocity of discharge of certain electric discharge is not more than preset electric discharge
When speed threshold value, then converts discharge time computing module 101 and determine that the secondary speed is to discharge at a slow speed.
In fact, being also based on multiple electric discharge attributes to determine the electric discharge type to discharge every time.
For example, when the discharge current of certain electric discharge is greater than preset discharge current threshold value and the electric discharge of the secondary electric discharge
When depth is greater than preset depth of discharge threshold value, conversion discharge time computing module 101 determines that this time electric discharge is quick
Electric discharge, when the depth of discharge that the depth of discharge of certain electric discharge is greater than preset discharge current threshold value and the secondary electric discharge is little
When preset depth of discharge threshold value, conversion discharge time computing module 101 determines this time electric discharge to discharge at a slow speed；When
Depth of discharge of certain electric discharge is lower than preset discharge current threshold value and the depth of discharge of the secondary electric discharge is greater than and sets in advance
When fixed depth of discharge threshold value, conversion discharge time computing module 101 determines that this time electric discharge is to discharge at a slow speed；When certain electric discharge
Depth of discharge is lower than preset discharge current threshold value and the depth of discharge of the secondary electric discharge is lower than preset electric discharge
When depth threshold value, conversion discharge time computing module 101 determines this time electric discharge to discharge at a slow speed.The rest may be inferred, can be based on
Multiple charging attributes determine the charge type to charge every time.
Converting discharge time computing module 101 is that the first weight is arranged in repid discharge type, for the setting of electric discharge type at a slow speed
Second weight, wherein the second weight is less than the first weight.Convert the putting repid discharge type again of discharge time computing module 101
The product of electric number and the first weight is summed with the product of the discharge time of electric discharge type and the second weight at a slow speed, obtains battery
Convert discharge time.
If, wherein being for 50 times repid discharge type, 50 times are class of discharging at a slow speed for example, battery one shares 100 electric discharges
Type, and the weight of repid discharge type is 1, and the weight of electric discharge type is 0.5 at a slow speed；
So, discharge time=50 × 1+50*0.5=75 (secondary) is converted.
For another example, battery one shares 200 electric discharges, wherein being for 150 times repid discharge type, 50 times are class of discharging at a slow speed
Type, and the weight of repid discharge type is 1, and the weight of electric discharge type is 0.6 at a slow speed；
So, discharge time=150 × 1+50*0.6=180 (secondary) is converted.
The process that conversion discharge time computing module 101 calculates conversion discharge time is described in detail with example above, this
Field technical staff is not intended to limit the scope of protection of the present invention it is to be appreciated that this description is only exemplary.
Electric discharge type is distinguished by taking repid discharge type and at a slow speed electric discharge type as an example in above description, in fact,
Can also carry out further multi-level refinement to electric discharge type, for example be divided into: extremely fast electric discharge type, repid discharge type,
Middling speed electric discharge type, at a slow speed electric discharge type, pole electric discharge type, etc. at a slow speed, and respectively every kind of electric discharge type setting is corresponding
Weight.
Similarly, charge type may include quick charge type and charge type at a slow speed；
Charging times computing module 102 is converted, for determining the charging charged every time based on the charging attribute to charge every time
Type, charging attribute includes at least one of following: charging current, depth of charge and charging rate.
Conversion charging times computing module 102 can determine the charge type to charge every time based on one or more charging attributes
Type.
For example, then converting charging time when the charging current of certain charging is greater than preset charging current threshold value
Number computing module 102 determines that this time is charged as quick charge, when the charging current of certain charging is not more than preset charging
When current threshold, then converts charging times computing module 102 and determine that this time is charged as charging at a slow speed.
For example, then converting charging time when the depth of charge of certain charging is greater than preset depth of charge threshold value
Number computing module 102 determines that this time is charged as quick charge, when the depth of charge of certain charging is not more than preset charging
When depth threshold value, then converts charging times computing module 102 and determine that this time is charged as charging at a slow speed.
For example, then converting charging time when the charging rate of certain charging is greater than preset charging rate threshold value
Number computing module 102 determines that this time is charged as quick charge, when the charging rate of certain charging is not more than preset charging
When depth threshold value, then converts discharge time computing module 102 and determine that the secondary speed is to charge at a slow speed.
Charging times computing module 102 is converted, third weight is set for quick charge type, for the setting of charge type at a slow speed
4th weight, wherein the 4th weight is less than third weight；By the product of the charging times of quick charge type and third weight with
The product of the charging times of charge type and the 4th weight is summed at a slow speed, obtains the conversion charging times of battery.
For example, battery one shares 100 chargings, wherein being for 50 times quick charge type, 50 times are charge type at a slow speed, and
And the weight of repid discharge type is 1, the weight of electric discharge type is 0.5 at a slow speed；
So, charging times=50 × 1+50*0.5=75 (secondary) is converted.
For another example, battery one shares 200 chargings, wherein being for 150 times quick charge type, 50 times are charge type at a slow speed
Type, and the weight of quick charge type is 1, and the weight of charge type is 0.6 at a slow speed；
So, charging times=150 × 1+50*0.6=180 (secondary) is converted.
The process that conversion charging times computing module 102 calculates conversion charging times is described in detail with example above, this
Field technical staff is not intended to limit the scope of protection of the present invention it is to be appreciated that this description is only exemplary.
Charge type is distinguished by taking quick charge type and at a slow speed charge type as an example in above description, in fact,
Can also carry out further multi-level refinement to charge type, for example be divided into: extremely fast charge type, quick charge type,
Middling speed charge type, at a slow speed charge type, pole charge type, etc. at a slow speed, and respectively every kind of charge type setting is corresponding
Weight.
When conversion discharge time computing module 101 and conversion charging times computing module 102 calculate separately out conversion electric discharge
After number and conversion charging times, health parameter computing module 103 will convert discharge time and conversion charging times are asked
With, with obtain conversion charge and discharge total degree；Again based on corresponding between the conversion charge and discharge total degree pre-saved and SOH parameter
Relationship calculates the SOH parameter for corresponding to conversion charge and discharge total degree.
For example, following corresponding pass can have been pre-saved in health parameter computing module 103 based on empirical data
System: when converting charge and discharge total degree is 0, corresponding SOH is 100%；It is corresponding when converting charge and discharge total degree is 1000
SOH is 50%；When converting charge and discharge total degree is 1500, corresponding SOH is 30%；... when conversion charge and discharge total degree is
When 2000, corresponding SOH is 0%.
It is assumed that the conversion charge and discharge total degree that health parameter computing module 103 is calculated is 1000, then being based on should
The available SOH of corresponding relationship is 50%；When the conversion charge and discharge total degree that health parameter computing module 103 is calculated
It is 1500, then can calculate SOH is 30%.
The process that health parameter computing module 103 calculates SOH, those skilled in the art are described in detail with example above
Member is not intended to limit the scope of protection of the present invention it is to be appreciated that this description is only exemplary.
In one embodiment, the device 100 further include:
Remaining capacity computing module 105, for calculating the remaining capacity soc of battery based on SOH parameter；
Wherein A is the current capacities of battery；B is the initial capacity of battery；Soh is SOH parameter.
Such as, it is assumed that certain battery is charging, and the soh of the battery is 50%；Initial capacity is 50 ampere-hours, current capacities 25
Ampere-hour, the soc calculation based on the prior art,In this way, even if charging has had reached battery
Current maximum capacity (25 ampere-hour), suggested soc remains as 50%, to bring misleading to user.After the present invention,
It calculatesUser's battery can be correctly prompted to fill with, so that user can stop
Charging.
Based on above-mentioned analysis, the invention also provides a kind of methods for calculating batteries of electric automobile SOH parameter.
Fig. 2 is the method flow diagram that the battery SOH parameter of electric car is calculated according to the present invention.
As shown in Fig. 2, this method comprises:
Step 201: electric discharge total degree based on battery in the predetermined time and the electric discharge type to discharge every time calculate battery
Convert discharge time；
Step 202: charging total degree based on battery in the predetermined time and the charge type to charge every time calculate battery
Conversion charging times；
Step 203: the SOH parameter of battery is calculated based on conversion discharge time and conversion charging times.
In one embodiment, electric discharge type includes repid discharge type and electric discharge type at a slow speed；
Before the conversion discharge time that step 201 calculates battery, this method comprises: based on the electric discharge attribute to discharge every time
The electric discharge type that discharges every time is determined, wherein electric discharge attribute includes at least one of following: discharge current, depth of discharge and putting
Electric speed；
The conversion discharge time that battery is calculated in step 201 includes: that the first weight is arranged for repid discharge type, at a slow speed
The second weight is arranged in electric discharge type, wherein the second weight is less than the first weight；By the discharge time of repid discharge type and first
The product of weight is summed with the product of the discharge time of electric discharge type and the second weight at a slow speed, obtains the conversion electric discharge time of battery
Number.
In one embodiment, charge type includes quick charge type and charge type at a slow speed；
Before the conversion charging times that step 202 calculates battery, this method further include: based on the charging category to charge every time
Property determine the charge type to charge every time, the charging attribute includes at least one of following: charging current, charging are deep
Degree and charging rate；
The conversion charging times that battery is calculated in step 202 include: that third weight is arranged for quick charge type, at a slow speed
The 4th weight is arranged in charge type, wherein the 4th weight is less than third weight；By the charging times and third of quick charge type
The product of weight is summed with the product of the charging times of charge type and the 4th weight at a slow speed, obtains the conversion charging time of battery
Number.
In one embodiment, the SOH of battery is calculated in step 203 based on conversion discharge time and conversion charging times
Parameter includes:
Conversion discharge time is summed with conversion charging times, to obtain conversion charge and discharge total degree；Based on pre-saving
Conversion charge and discharge total degree and SOH parameter between corresponding relationship, calculate correspond to conversion charge and discharge total degree SOH ginseng
Number.
In one embodiment, this method further include:
The remaining capacity soc of battery is calculated based on SOH parameter；
Wherein
A is the current capacities of battery；B is the initial capacity of battery；Soh is SOH parameter.
Fig. 3 is to calculate the method flow diagram of battery SOH parameter according to first embodiment of the invention.
As shown in figure 3, for battery in the given time every time charge behavior analytic process, referring to step 301~
304, it specifically includes:
Step 301: judge whether the charging current of the charging behavior is greater than preset threshold value (50A), if so,
Step 302 and its subsequent step are executed, if it is not, executing step 303 and its subsequent step.
Step 302: the weight for determining that the charging behavior is quick charge, and the secondary charging behavior being arranged is 1, executes step
304。
Step 303: determining that the charging behavior is to charge at a slow speed, and it is 0.3 that the weight of the secondary charging behavior, which is arranged, executes step
Rapid 304.
Step 304: calculating the weighted sum value of all charging times, as the conversion charging times of battery.
It discharges every time within the predetermined time for battery the analytic process of behavior, it is specific to wrap referring to step 305~308
It includes:
Step 305: judging whether the discharge current of electric discharge behavior is greater than preset threshold value (80A), if so, holding
Row step 306 and its subsequent step, if it is not, executing step 307 and its subsequent step.
Step 306: the weight for determining that the electric discharge behavior is repid discharge, and the secondary electric discharge behavior being arranged is 1, executes step
308。
Step 307: determining that the electric discharge behavior is to discharge at a slow speed, and it is 0.3 that the weight of the secondary electric discharge behavior, which is arranged, executes step
Rapid 308.
Step 308: calculating the weighted sum value of all discharge times, as the conversion discharge time of battery.
Then, the SOH ginseng of battery of electric vehicle is calculated based on conversion discharge time and conversion charging times in a step 309
Number.
Fig. 4 is to calculate the method flow diagram of battery SOH parameter according to second embodiment of the invention.
As shown in figure 4, for battery in the given time every time charge behavior analytic process, referring to step 401~
404, it specifically includes:
Step 401: judge whether the charging current of the charging behavior is greater than preset threshold value (50A), if so,
Step 402 and its subsequent step are executed, if it is not, executing step 403 and its subsequent step.
Step 402: the weight for determining that the charging behavior is quick charge, and the secondary charging behavior being arranged is 1, executes step
404。
Step 403: determining that the charging behavior is to charge at a slow speed, and it is 0.3 that the weight of the secondary charging behavior, which is arranged, executes step
Rapid 404.
Step 404: calculating the weighted sum value of all charging times, as the conversion charging times of battery.
It discharges every time within the predetermined time for battery the analytic process of behavior, it is specific to wrap referring to step 405~408
It includes:
Step 405: judge whether the depth of discharge of electric discharge behavior is greater than preset threshold value (90%), if so,
Step 406 and its subsequent step are executed, if it is not, executing step 407 and its subsequent step.
Step 406: the weight for determining that the electric discharge behavior is repid discharge, and the secondary electric discharge behavior being arranged is 1, executes step
408。
Step 407: determining that the electric discharge behavior is to discharge at a slow speed, and it is 0.3 that the weight of the secondary electric discharge behavior, which is arranged, executes step
Rapid 408.
Step 408: calculating the weighted sum value of all discharge times, as the conversion discharge time of battery.
Then, the SOH ginseng of battery of electric vehicle is calculated based on conversion discharge time and conversion charging times in step 409
Number.
Fig. 5 is to calculate the method flow diagram of battery SOH parameter according to third embodiment of the invention.
As shown in figure 5, the analytic process for behavior of charging every time in the given time for battery, residual volume step 501~
504, it specifically includes:
Step 501: judge whether the charging current of the charging behavior is greater than preset threshold value (50A), if so,
Step 502 and its subsequent step are executed, if it is not, executing step 503 and its subsequent step.
Step 502: the weight for determining that the charging behavior is quick charge, and the secondary charging behavior being arranged is 1, executes step
504。
Step 503: determining that the charging behavior is to charge at a slow speed, and it is 0.3 that the weight of the secondary charging behavior, which is arranged, executes step
Rapid 504.
Step 504: calculating the weighted sum value of all charging times, as the conversion charging times of battery.
It discharges every time within the predetermined time for battery the analytic process of behavior, it is specific to wrap referring to step 505~508
It includes:
Step 505: judge the velocity of discharge of electric discharge behavior whether be greater than preset threshold value (for example, 10 kilowatts/it is small
When, or the 30% of whole SOC are discharged beyond at one presetting the time), if so, executing step 506 and its subsequent step
Suddenly, if it is not, executing step 507 and its subsequent step.
Step 506: the weight for determining that the electric discharge behavior is repid discharge, and the secondary electric discharge behavior being arranged is 1, executes step
508。
Step 507: determining that the electric discharge behavior is to discharge at a slow speed, and it is 0.3 that the weight of the secondary electric discharge behavior, which is arranged, executes step
Rapid 508.
Step 508: calculating the weighted sum value of all discharge times, as the conversion discharge time of battery.
Then, the SOH ginseng of battery of electric vehicle is calculated based on conversion discharge time and conversion charging times in step 509
Number.
In conclusion in embodiments of the present invention, converting discharge time computing module based on battery in the predetermined time
Electric discharge total degree and the electric discharge type to discharge every time, calculate the conversion discharge time of battery；Convert charging times computing module base
In the charging total degree and the charge type that charges every time of battery in the predetermined time, the conversion charging times of battery are calculated；Health
State parameter computing module calculates the SOH parameter of battery based on conversion discharge time and conversion charging times.It can be seen that different
It is counted in not distinctively unified to the charge type of charging behavior (or electric discharge type of electric discharge behavior) in the prior art, this hair
It is bright based on charging attribute (including charging current, depth of charge and charging rate, etc.) to charging behavior carry out it is careful differentiation with
Determine quick charge type and at a slow speed charge type, based on charging attribute (including discharge current, depth of discharge and electric discharge speed
Degree, etc.) careful differentiation is carried out to determine repid discharge type and at a slow speed electric discharge type to electric discharge behavior, it is then respectively not
Corresponding weight is respectively set in same charge type and electric discharge type, and counts conversion discharge time and conversion charging times, then
The SOH parameter of battery is calculated, based on conversion discharge time and conversion charging times so as to improve the accuracy of SOH parameter.
Moreover, can accurately calculate SOC based on the calculated SOH parameter of mode of the present invention, and SOC is being provided just to user
True prompt information.
The series of detailed descriptions listed above only for feasible embodiment of the invention specifically
Protection scope that is bright, and being not intended to limit the invention, it is all without departing from equivalent embodiments made by technical spirit of the present invention or
Change, such as the combination, segmentation or repetition of feature, should all be included in the protection scope of the present invention.
Claims (2)
1. a kind of device for the health parameter for calculating batteries of electric automobile, which is characterized in that the device includes:
Discharge time computing module is converted, that discharges for the electric discharge total degree based on battery described in the predetermined time and every time puts
Electric type calculates the conversion discharge time of the battery, wherein the electric discharge type includes repid discharge type and discharges at a slow speed
Type；
Charging times computing module is converted, for the charging total degree based on the battery in the predetermined time and charging every time
Charge type, the conversion charging times of the battery are calculated, wherein the charge type includes quick charge type and at a slow speed
Charge type；
Health parameter computing module, for calculating the electricity based on the conversion discharge time and the conversion charging times
The health parameter in pond；
Further include: remaining capacity computing module, for calculating the remaining capacity of the battery based on the health parameter
soc；
Wherein A is the current capacities of the battery；B is the initial capacity of the battery；Soh is the healthy shape
State parameter；
The wherein conversion discharge time computing module, is used for:
The electric discharge type to discharge every time is determined based on the electric discharge attribute to discharge every time, wherein the electric discharge attribute includes following
At least one of: discharge current, depth of discharge and the velocity of discharge；The first weight is set for the repid discharge type, for institute
It states electric discharge type at a slow speed and the second weight is set, wherein the second weight is less than the first weight；By the discharge time of repid discharge type
It sums, obtains described with the product of the discharge time of electric discharge type at a slow speed and second weight with the product of first weight
The conversion discharge time of battery；
The conversion charging times computing module, is used for:
The charge type to charge every time is determined based on the charging attribute to charge every time, and the charging attribute includes in following
At least one: charging current, depth of charge and charging rate；Third weight is set for the quick charge type, is described slow
The 4th weight is arranged in fast charge type, wherein the 4th weight is less than third weight；By the charging times of quick charge type and institute
The product and the product of the charging times of charge type at a slow speed and the 4th weight for stating third weight are summed, and the battery is obtained
Conversion charging times；
The health parameter computing module, for the conversion discharge time and the conversion charging times to be summed, with
Obtain conversion charge and discharge total degree；Based on the corresponding pass between the conversion charge and discharge total degree pre-saved and health parameter
System calculates the health parameter for corresponding to the conversion charge and discharge total degree.
2. a kind of method for the health parameter for calculating batteries of electric automobile, which is characterized in that this method comprises:
Electric discharge total degree based on battery described in the predetermined time and the electric discharge type to discharge every time, calculate the conversion of the battery
Discharge time, wherein the electric discharge type includes repid discharge type and electric discharge type at a slow speed；
Charging total degree based on the battery in the predetermined time and the charge type to charge every time, calculate the battery
Charging times are converted, wherein the charge type includes quick charge type and charge type at a slow speed；
The health parameter of the battery is calculated based on the conversion discharge time and the conversion charging times；
Further include:
The remaining capacity soc of the battery is calculated based on the health parameter；
Wherein A is the current capacities of the battery；B is the initial capacity of the battery；Soh is the health parameter；
Before the conversion discharge time for calculating the battery, this method comprises: determining institute based on the electric discharge attribute to discharge every time
State the electric discharge type to discharge every time, wherein the electric discharge attribute includes at least one of following: discharge current, depth of discharge and
The velocity of discharge；
The conversion discharge time for calculating battery includes: that the first weight is arranged for the repid discharge type, for described at a slow speed
The second weight is arranged in electric discharge type, wherein the second weight is less than the first weight；By the discharge time of repid discharge type with it is described
The product of first weight is summed with the product of the discharge time of electric discharge type at a slow speed and second weight, obtains the battery
Convert discharge time；
Before the conversion charging times for calculating the battery, this method further include: determined based on the charging attribute to charge every time
The charge type to charge every time, the charging attribute includes at least one of following: charging current, depth of charge and being filled
Electric speed；
The conversion charging times for calculating battery include: that third weight is arranged for the quick charge type, for described at a slow speed
The 4th weight is arranged in charge type, wherein the 4th weight is less than third weight；By the charging times of quick charge type with it is described
The product of third weight is summed with the product of the charging times of charge type at a slow speed and the 4th weight, obtains the battery
Convert charging times；
It is described the health parameter of the battery is calculated based on the conversion discharge time and the conversion charging times to include:
The conversion discharge time and the conversion charging times are summed, to obtain conversion charge and discharge total degree；Based on pre-saving
Conversion charge and discharge total degree and health parameter between corresponding relationship, calculate correspond to the conversion charge and discharge total degree
Health parameter.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510593710.4A CN105911471B (en) | 2015-09-17 | 2015-09-17 | A kind of device and method for the health parameter calculating batteries of electric automobile |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510593710.4A CN105911471B (en) | 2015-09-17 | 2015-09-17 | A kind of device and method for the health parameter calculating batteries of electric automobile |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105911471A CN105911471A (en) | 2016-08-31 |
| CN105911471B true CN105911471B (en) | 2019-11-29 |
Family
ID=56743938
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510593710.4A Active CN105911471B (en) | 2015-09-17 | 2015-09-17 | A kind of device and method for the health parameter calculating batteries of electric automobile |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105911471B (en) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018112880A1 (en) * | 2016-12-23 | 2018-06-28 | 深圳中兴力维技术有限公司 | Method for evaluating storage battery health state and system thereof |
| CN109754136B (en) * | 2017-11-03 | 2022-11-08 | 蔚来控股有限公司 | Battery equalization method and system |
| CN109856561A (en) * | 2019-01-30 | 2019-06-07 | 北京长城华冠汽车科技股份有限公司 | A kind of health state evaluation method and apparatus of Vehicular dynamic battery group |
| CN109917303A (en) * | 2019-03-04 | 2019-06-21 | 北京长城华冠汽车科技股份有限公司 | Battery life evaluation method, vehicle, charging pile, server and the system of vehicle |
| CN110515004A (en) * | 2019-10-08 | 2019-11-29 | 青海黄河上游水电开发有限责任公司光伏产业技术分公司 | A kind of lithium ion battery charge and discharge circulation life calculation method |
| CN111308374A (en) * | 2019-10-15 | 2020-06-19 | 江西恒动新能源有限公司 | Estimation method for SOH value of battery pack state of health |
| CN113064087A (en) * | 2019-12-16 | 2021-07-02 | 观致汽车有限公司 | Flywheel battery electric quantity measuring method and flywheel battery |
| CN111890958B (en) * | 2020-07-10 | 2022-05-10 | 广州小鹏汽车制造有限公司 | Vehicle charging method and device, battery management system and vehicle |
| CN112798974B (en) * | 2020-12-22 | 2022-11-29 | 中国船舶重工集团公司第七0九研究所 | Storage battery SOH on-line monitoring method and system for isolated base station hybrid power supply system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101071160A (en) * | 2006-05-10 | 2007-11-14 | 盈正豫顺电子股份有限公司 | Cell health state diagnosis method |
| CN101625398A (en) * | 2009-08-03 | 2010-01-13 | 奇瑞汽车股份有限公司 | Calculation and alarm device for service life of battery of pure electric vehicle and control method thereof |
| CN102205800A (en) * | 2011-02-25 | 2011-10-05 | 南京华博科技有限公司 | Intelligent battery management system of electric car |
| CN103326074A (en) * | 2012-03-19 | 2013-09-25 | 中兴通讯股份有限公司 | Statistic method and device of charge-discharge cycle number of storage battery |
| CN103728564A (en) * | 2013-12-20 | 2014-04-16 | 惠州市亿能电子有限公司 | SOH value estimation method of hybrid electric vehicle |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007218666A (en) * | 2006-02-15 | 2007-08-30 | Auto Network Gijutsu Kenkyusho:Kk | Battery state management device |
| KR101172183B1 (en) * | 2010-09-27 | 2012-08-07 | 현대자동차주식회사 | Estimating apparatus and method of state of healthsoh of battery in vehicle |
| CN102721933A (en) * | 2012-06-29 | 2012-10-10 | 国家电网公司 | State of charge (SOC) evaluation method and SOC evaluation system of lithium ion battery |
| CN103515661B (en) * | 2013-10-14 | 2015-06-17 | 中国人民解放军国防科学技术大学 | Method for prolonging residual recycling service life of in-parallel lithium ion battery cupboard |
| CN103762624B (en) * | 2013-12-28 | 2016-11-23 | 华为技术有限公司 | A kind of battery management method and device |
| CN104459552B (en) * | 2014-11-28 | 2017-10-17 | 上海交通大学 | The method for assessing influence of the charging behavior to batteries of electric automobile health status |
| CN104635166A (en) * | 2015-02-06 | 2015-05-20 | 芜湖大学科技园发展有限公司 | Evaluation method for health status of lithium batteries based on battery management system |
-
2015
- 2015-09-17 CN CN201510593710.4A patent/CN105911471B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101071160A (en) * | 2006-05-10 | 2007-11-14 | 盈正豫顺电子股份有限公司 | Cell health state diagnosis method |
| CN101625398A (en) * | 2009-08-03 | 2010-01-13 | 奇瑞汽车股份有限公司 | Calculation and alarm device for service life of battery of pure electric vehicle and control method thereof |
| CN102205800A (en) * | 2011-02-25 | 2011-10-05 | 南京华博科技有限公司 | Intelligent battery management system of electric car |
| CN103326074A (en) * | 2012-03-19 | 2013-09-25 | 中兴通讯股份有限公司 | Statistic method and device of charge-discharge cycle number of storage battery |
| CN103728564A (en) * | 2013-12-20 | 2014-04-16 | 惠州市亿能电子有限公司 | SOH value estimation method of hybrid electric vehicle |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105911471A (en) | 2016-08-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105911471B (en) | A kind of device and method for the health parameter calculating batteries of electric automobile | |
| CN106908732B (en) | A kind of lithium ion battery equivalent circuit model parameter discrimination method and device | |
| CN103545567B (en) | A kind of method of quick sorting lithium ion battery | |
| Serrao et al. | An aging model of Ni-MH batteries for hybrid electric vehicles | |
| CN108246658B (en) | Method for screening consistency of lithium iron phosphate batteries | |
| CN105929336B (en) | A kind of power lithium-ion battery health status evaluation method | |
| CN108767909A (en) | A kind of charging curve and charging method of standard | |
| Shen et al. | Neural network-based residual capacity indicator for nickel-metal hydride batteries in electric vehicles | |
| Stroe et al. | Accelerated aging of Lithium-ion batteries based on electric vehicle mission profile | |
| CN108508365B (en) | Lithium ion battery self-discharge screening method | |
| CN101458310A (en) | Battery consistency evaluating method | |
| CN104166102B (en) | Judgment method for SOC use interval of automotive power battery pack | |
| CN103997052B (en) | A kind of method of the active power controller of many energy-accumulating power stations | |
| CN101860056A (en) | Power lithium battery pack balancing and managing system based on Map model | |
| CN108023130A (en) | A kind of lithium ion battery charging optimization method | |
| CN106354964A (en) | Charge state estimation method of lithium-ion capacitor for electric automobile | |
| CN103675708A (en) | Energy-efficient battery capacity sorting method | |
| CN103084342A (en) | Method for separating secondary batteries | |
| Panday et al. | Hybrid electric vehicle performance analysis under various temperature conditions | |
| CN110596612B (en) | Selection method of retired lithium battery classification method for face-to-face echelon utilization | |
| CN106910957A (en) | A kind of secondary utilization lead-acid batteries screening technique | |
| CN106597314A (en) | Vehicle NI-MH power battery pack actual charge maintenance and corresponding voltage determination method | |
| CN110208708A (en) | A method of lithium ion battery limit charging and discharging currents are emulated using dichotomy | |
| CN109143096A (en) | Battery of electric bicycle parameter detection device and detection method | |
| Chen et al. | The research on characteristics of Li‐NiMnCo lithium‐ion batteries in electric vehicles |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |