CN106503450A - A kind of electric motor car big data analysis optimization System and method for - Google Patents
A kind of electric motor car big data analysis optimization System and method for Download PDFInfo
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- CN106503450A CN106503450A CN201610937018.3A CN201610937018A CN106503450A CN 106503450 A CN106503450 A CN 106503450A CN 201610937018 A CN201610937018 A CN 201610937018A CN 106503450 A CN106503450 A CN 106503450A
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Abstract
The present invention provides a kind of system and method for electric motor car big data analysis optimization.The system includes electric motor car database, algoritic module component and control parameter database, wherein electric motor car database receive and store controller for electric vehicle by support 3G communication mobile data module transmission come data, algoritic module component conducts interviews to electric motor car database according to corresponding algorithm, and the logic strategy adopted according to algorithm, generate new control parameter to be deposited in control parameter database until being covered by new control parameter, this parameter passes to controller for electric vehicle via mobile data module, realizes continuing to optimize controller control parameter.The present invention adopts modularization programming, and each module can be used alone also to can be combined and use, flexibly and easily；For constantly updating control parameter, abundant online electronic car data guarantees that vehicle high-efficiency comfortable operation all the time provides possibility.
Description
Technical field
The present invention relates to electric automobiles, there is provided a kind of electric motor car big data analysis optimization System and method for.
Background technology
Electric motor car is mainly made up of the part such as power supply, motor, brake apparatus, charging device and servicing unit.Its
In, entire car controller and its control software, realize the battery to electric vehicle, motor and other electronic installations be uniformly coordinated with
Control, is the command centre of electric vehicle.The control parameter arteries and veins spectrum of traditional new-energy automobile control unit（Referred to as " MAP "）?
It is cured in the FLASH areas of control unit with this types of variables of array when dispatching from the factory, the MAP parameters are to indivedual cars by artificial
The data that substantial amounts of calibration experiment is obtained, therefore for the vehicle control parameter of batch output does not have running environment
Optimum versatility and the generality of driving habit.Change in vehicle running environment, different driver's driving habits and
When vehicle state itself changes, the degree of optimization of the control parameter in existing entire car controller is just not necessarily high, so that car
Energy efficiency reduces, driver comfort is deteriorated, even shorten the life-span of vehicle component.
Content of the invention
It is an object of the invention to：For the technical problem of existing electric motor car, a kind of the big of electric motor car control parameter is proposed
Data analysis optimizes system and method.The system includes electric motor car database, algoritic module component and control parameter database, fortune
Row is on cloud platform server.Wherein, electric motor car database is received and stores controller for electric vehicle by supporting 3G communications
The data that the transmission of mobile data module comes, algoritic module component conduct interviews to electric motor car database according to corresponding algorithm, and
According to the logic strategy that algorithm is adopted, generate new control parameter and retain until new in the control parameter database of system
Control parameter cover, and controller for electric vehicle is passed to by mobile data module.
Wherein described electric motor car database stores the data of controller for electric vehicle collection sequentially in time, is stored
Data be defined according to optimized algorithm；
Wherein described control parameter database is the one group of data generated after algoritic module component computing, and data are with single
Numerical value or array form storage.
Wherein described algoritic module component defines row from safety, comfortableness and efficient these three optimization aims
Car safety management, take advantage of and drive Analysis of Comfort and efficiency energy-conservation three major types algorithm, per class algorithm through software modularity programming realization
Traffic safety management module, take advantage of and drive Analysis of Comfort module and efficiency energy-saving module, adopt following 7 algorithms altogether：
1. traffic safety management algorithm：Relation is changed over by the voltage of all cells that system is stored is carried out point
Analyse to predict battery life；
2. accelerator pedal too deep/excessively shallow parser：By the too deep of the aperture of the accelerator pedal to electric motor car and excessively shallow sentences
Disconnected, evaluate the degree of strength of Acceleration Control parameter；
3. driver accelerates custom parser：Acceleration custom during driver driving is analyzed by the frequency stepped on the gas suddenly；
4. accelerate irregularity parser：By compare power unstable when accelerator pedal fluctuate situation and fluctuation of speed feelings
Condition, analyze electric power unstable the reason for；
5. brake pedal too deep/excessively shallow parser：Become with the aperture of accelerator pedal by comparing brake pedal aperture rate of change
The difference of rate, analyzes the degree of strength of brake pedal control parameter；
6. irregularity event analysis algorithm is braked, by comparing the minimax acceleration in braking procedure with average acceleration
Difference, analyzes the flatness of brake pedal control parameter；
7. efficiency Energy Saving Algorithm：By analyzing cooling device from the time performance for reaching cooling effect is started, realize to cooling
Equipment（Water pump and fan）Open-interval optimizes；
Wherein, 1. algorithm realizes optimization aim safety by the management to battery；
Algorithm 2. ~ 6. respectively from accelerate and two angles of braking effect meet comfortableness requirement；
The optimization aim that 7. algorithm is realized is efficient；
Using algorithm 1. highest priority, 7. priority is minimum for algorithm, for the same group of control parameter for generating, using priority
Highest control parameter.
Wherein described traffic safety management module realizes the analysis to battery life, by all lists that system is stored
The voltage of body battery changes over relation and is calculated according to following three formula respectively and analyzed：
Mean value formula
（1-1）
Vi：Monomer voltage, N：Cell sum
Cumulative errors formula
（1-2）
Soe：Error and,：Normal voltage, Vi:Monomer voltage
Rate of change integral formula
Ei=（1-3）
Ei：Monomer battery voltage rate of change,：Sampling adjacent time is poor,：The corresponding voltage difference of adjacent time difference
By formula（1-2）Obtain the cumulative errors value of battery pack and canonical parameter, substantially can determine that battery pack is whole
The state of body.IfBattery pack cumulative errors are less than cumulative errors thresholding, then further according to formula（1-
1）The average cell voltage for obtaining, by calculating the absolute deviation of each monomer voltage and average voltage level, according toWhether difference is in the specified state for tentatively making a definite diagnosis the batteries.To deviationExceed the deviation threshold for settingList
The malfunction of the batteries is set to " waiting to make a definite diagnosis ", is otherwise provided as " normal " by body battery.Monomer electricity to " waiting to make a definite diagnosis "
Pond is further analyzed, by the storage time point of the cellVoltage value, according to formula（1-3）Calculate the batteries
Voltage change ratio.If the cell voltage rate of change is higher than the rate of change for limitingLim, then by the batteries failure
State is set to " making a definite diagnosis ".
Wherein described take advantage of drive Analysis of Comfort module by accelerator pedal too deep/excessively shallow analytic unit, driver accelerate custom point
Analysis unit, accelerate irregularity analytic unit, brake pedal too deep/excessively shallow analytic unit and braking irregularity analytic unit composition.
The accelerator pedal is too deep/excessively shallow analytic unit is used for the degree of strength of evaluating Acceleration Control parameter, by than
The rotating speed sample bigger than the minimum speed needed for the analytic unit analysis compared with motor actual speed in database, calculates two neighboring
The difference of rotating speed point.Work as differenceLess than the initial target value n0 r/min for setting（By car load, factory defines）When, start to count
Difference now.When rotating speed difference is reduced to the target end value n1 r/min of setting（Equally defined by car load factory）When following,
CalculateFrom the time difference that n0 r/min are down to n1 r/min, and calculate which and be worth to arithmetic acceleration a0, the numerical value is anti-
The degree of stability of reduction of speed/accelerator is reflected, numerical value is less, and down speeding procedure is more steady.After rotating speed reaches n1 r/min, continue
To hereafter（2×）Speed discrepancy in time range carries out sampling comparison, and calculate that this section of Time Calculation obtain average
Acceleration a1.If a1 is less than the 1/2 of a0, then statisticsAverage pedal aperture in this period.If pedal aperture
Less than the excessively shallow thresholding of the pedal of setting, it is determined that motor driving torque is excessive under little pedal aperture；If pedal aperture is more than
The too deep thresholding of the pedal of setting, it is determined that motor driving torque is too small under big pedal aperture.Determine accelerator pedal too deep/excessively shallow
Afterwards, the Motor control parameters for storing in inquiry database, to Motor control parameters according to inequality formula（1-4）Carry out multiple to put
Greatly, according to inequality（1-5）Carry out/reduce.When the frequency of too deep/excessively shallow appearance reaches setting thresholding, then make a definite diagnosis acceleration and step on
The control parameter of plate is too strong or excessively weak.
p=（1-4）
p=（1-5）
a:Ratio of the current motor control mode relative to Rated motor moment of torsion, span be 0-1 between,
P is ratio of the motor control torque after optimizing relative to Rated motor value
The acceleration when driver accelerates custom analytic unit to be used for analyzing driver driving is accustomed to, by sampling period some days
Interior accelerator pedal is analyzed to be caused to accelerate not enough problem as parameter setting is too low.Calculate adjacent pedal twice first to open
The relative increment of degree, is considered as accelerated events if increment is more than setting range；If stepping on accelerator pedal is in very short time T0
Inside reach pedal aperture 90% and more than, then be judged to that driver steps on the gas event suddenly.Determine that the accelerated events in the sample range tire out
After metering numerical value S, the times N of event of stepping on the gas suddenly is further counted, if ratio P of event of stepping on the gas suddenly（P=N/S）50%
To between 80%, then being considered as causes as the control parameter of motor driving torque is too low.Now, according to formula（1-6）Located
Reason.
p=（1-6）
a:Ratio of the current motor control mode relative to Rated motor moment of torsion, span be 0-1 between,
P is ratio of the motor control torque after optimizing relative to Rated motor value
The acceleration irregularity analytic unit be used for analyzing electric power unstable the reason for, extract the motor work(in database
The data sample of rate, accelerator pedal aperture and motor speed, calculates the power of motor absolute difference between neighbouring sample point.Such as
ReallyExceed power swing threshold value, further calculate the stability bandwidth of the stability bandwidth and rotating speed of adjacent accelerator pedal aperture, such as
Fruit due to accelerator pedal fluctuation cause power swing, then accelerator pedal cause power swing cumulative number from Jia 1 this；In the same manner, if
Because motor speed fluctuation causes, then corresponding motor speed causes power swing cumulative number to add 1.So as to calculate two kinds of work(
The ratio that rate the Causes for Mutation occurs, system are not controlled the optimization of parameter to power of motor fluctuation.The data are for whole
The control software of depot's optimizing entire vehicle controller has great reference value.
The brake pedal is too deep/and excessively shallow analytic unit is used for the degree of strength of analyzing brake pedal control parameter, to make
Effective time of the dynamic pedal between electric brake to pneumatic brake judged, its judgment standard is accelerator pedal within the unit interval
Aperture maximum rate of change SP_slope and brake pedal aperture maximum rate of change BP_Slope.Acceleration in Great possibility is stepped on
Plate aperture rate of change ought to be equal to brake pedal aperture rate of change under normal circumstances.Absolute difference when both | BP_
Slope-SP_slope | more than accelerator pedal rate of change 25% on the premise of, if brake pedal aperture rate of change more than accelerate step on
The aperture rate of change of plate, judges that brake pedal be present shallow；If brake pedal aperture rate of change is less than accelerator pedal aperture
Rate of change, judges that brake pedal is too deep.Then the control parameter of brake pedal is reduced when too deep；Cross shallow then to brake pedal
Control parameter is amplified.The coefficient of zoom is according to formula（1-7）Carry out.
p==（1-7）
Wherein, the aperture average rates of change of the SP_slope for accelerator pedal, brake pedal when BP_slope is too deep or excessively shallow
Average aperture rate of change, p be control parameter after optimizing with optimize before control parameter zoom coefficient, Cb_Before is
Original brake pedal control parameter, Cb_After are the brake pedal control parameter after optimizing.
The braking irregularity event analysis unit is used for the flatness for analyzing brake pedal control parameter, by judging electricity
Machine rotating speed increases with the duration of vehicle brake pedal with whether the relation of brake pedal aperture meets（System in the time period
Dynamic pedal aperture is constant）, motor speed steadily declines（That is the acceleration of motor speed is constant）Working condition.If when this section
Acceleration maximum a_Max or minimum of a value a_Min of interior motor speed, relative to the proportionality coefficient of average acceleration a_Ave
Less than between limits value 0.8 to 1.2, then judging that braking is stable, otherwise it is judged to brake irregularity event, determines whether this
Acceleration under rotating speed point and braking aperture, if acceleration is too low, judges that the rotating speed brakes the control point parameter of aperture
Cross weak, otherwise acceleration is excessive, then the control point parameter is too strong.When the probability of happening of irregularity event accounts for the restriction of braking event
During ratio, then it is diagnosed as the vehicle braking irregularity.By counting, each control point in the case of irregularity is excessively weak or too strong to be sent out
Probability is given birth to more than 90%, so as to make a definite diagnosis the irregularity reason at the control point.If control parameter is too strong, by the control at the control point
Parameter processed is according to formula（1-8）Weaken；Otherwise according to（1-9）Strengthened.
=（1-8）
=（1-9）
Wherein, Cb_Before is original brake pedal control parameter, and Cb_After is the brake pedal control ginseng after optimizing
Number, peak accelerations of the a_Max for aperture constant period of accelerator pedal, a_Min are aperture constant period of brake pedal
Minimum acceleration, average accelerations of the a_Ave for accelerator pedal aperture constant period.
Wherein described efficiency energy-saving module is realized to cooling device（Water pump and fan）Open-interval optimizes.Usual equipment
Opening time depend on vehicle operation in motor temperature and battery temperature.When being opened by analytical equipment temperature from
TempH is reduced to the time difference of TempL, so as to provide the relation of cooling device and temperature-fall period for main engine plants.If certain
Cooling rate under individual temperature spot after unlatching equipment is too fast（Less than the threshold value that car load factory is arranged）The probability that event occurs
More than 95%, then adjust the opening time of cooling device so as to open in higher motor temperature or battery temperature, so as to save
Car load energy.
The present invention has the beneficial effect that：
1. modularization is good：According to achieving traffic safety management module when first three optimized algorithm, take advantage of and drive Analysis of Comfort module
With three modular assemblies of efficiency energy-saving module.Each modular assembly can isolated operation, it is also possible to according to follow-up optimized algorithm
Priority be combined use.The domain value range that each modular algorithm is adopted is defined according to vehicle by each car load factory.
2. effect is good：System has abundant electronic car data, after the control parameter for optimizing is written to electric motor car, can
With the reasonability of the electric motor car data analysis control parameter after according to write, guarantee vehicle all the time so as to constantly update control parameter
Keep safety, comfortable, high-efficiency operation.
Description of the drawings
Fig. 1 is analysis optimization system the general frame, and system is by controller for electric vehicle A1, mobile data modules A 2, electric motor car
Database M1, algoritic module component M2 ~ M4 and control parameter database M5 are constituted.
Fig. 2 is the flow chart that system diagnoses battery failures according to battery voltage data.
Fig. 3 is that system judges that accelerator pedal is too deep and excessively shallow flow chart.
The flow chart of Fig. 4 optimal control parameters that are system in the case where accelerator pedal is too deep and excessively shallow.
Fig. 5 is that network analysis driver accelerates custom and accelerates not enough flow chart.
Fig. 6 is the flow chart of system optimal control parameter in the case where deficiency is accelerated.
Fig. 7 is the flow chart that system diagnostics accelerates irregularity event.
Fig. 8 is the flow chart that system judges to brake too deep and excessively shallow and Optimization about control parameter.
Fig. 9 is the flow chart that irregularity event is braked in system diagnostics.
Figure 10 is that system judges the cooling device opening time too early and excessively slow flow chart.
Specific embodiment
In order that the object of the invention, technical scheme become apparent from, below in conjunction with accompanying drawing, the present invention is described in detail.Should
Work as understanding, specific embodiment described herein only in order to explain the present invention, is not intended to limit the present invention.
Communication message as described in table 1-1 is adopted between system and electric motor car.
Table 1-1 communication message forms
Note：As the data that network service and electric motor car are obtained all are in the form of byte stream, need to will be greater than 8bit's
Data are split, and are used uniformly across Intel forms here.
System first sends seed request to electric motor car, and electric motor car receives the backward system of request and provides seed, and system is connecing
Key being generated after receiving seed response, and being sent to electric motor car, electric motor car carries out key management according to the key for receiving, and leads to
Cross key answer signal and feed back to system, regardless of whether coupling is all replied.
Table 1-2 is defined as follows with regard to cipher key service message frame format.
Table 1-2 cipher key service message frame formats
Illustrated with traffic safety management module function, it is assumed that take out the cell parameter point of following storage from database
Analysis sample, such as table 1-3：
Using normal voltage 3.2V as judgment criteria, according to formula（3-2）The cumulative errors for obtaining are in time 2016-09-09
08:52:1.1V has been reached when 52, more than normal range (NR) area 1V.According to（3-1）The result of calculating is：#4 average voltages are 2.4v,
And the average voltage of other monomers battery is in 3.1 ± 0.1V.Then think that #4 there may be failure.Further according to formula（1-3）
Obtain cell voltage change slope in time adjacent segments and averagely reach 20mV/s, therefore make a definite diagnosis the batteries and there is failure.When certain
During batteries storage failure, system adjusts the nominal maximum torque with motor immediately, and sends message to entire car controller,
So as to adjust the control parameter inside entire car controller, motor downrating immediately is made, caused by avoiding battery failures
Other hidden danger.
Claims (9)
1. a kind of electric motor car big data analysis optimization system, it is characterised in that：Including electric motor car database, algoritic module component and
Control parameter database；
Wherein described electric motor car database is received and stores controller for electric vehicle by supporting the mobile data mould of 3G communications
The data that block transmission comes, the data for being stored are defined according to algorithm；
Described algoritic module component is according to traffic safety algorithm, takes advantage of and drive Analysis of Comfort algorithm and efficiency Energy Saving Algorithm, warp
The traffic safety management module of software modularity programming realization is crossed, is taken advantage of and is driven Analysis of Comfort module and efficiency energy-saving module；Wherein,
Take advantage of drive Analysis of Comfort module by accelerator pedal too deep/excessively shallow analytic unit, driver accelerate custom analytic unit, accelerate irregularity
Analytic unit, brake pedal be too deep/excessively shallow analytic unit and braking irregularity analytic unit composition；
Described control parameter database is the one group of data generated after algoritic module component computing, and data are with single number
Or array form represents storage, and controller for electric vehicle is passed to by mobile data module；
In system, each algoritic module component conducts interviews to electric motor car database, and the logic strategy adopted according to algorithm, generates
New control parameter is simultaneously retained until being covered by new control parameter in the control parameter database of system.
2. a kind of optimization method based on the electric motor car big data analysis optimization system of claim 1, it is characterised in that according to peace
Entirely, comfortableness and efficient three optimization aims, using following 7 algorithms：
1. traffic safety management algorithm：Relation is changed over by the voltage of all cells that system is stored is carried out point
Analyse to predict battery life；
2. accelerator pedal too deep/excessively shallow parser：By the too deep of the aperture of the accelerator pedal to electric motor car and excessively shallow sentences
Disconnected, evaluate the degree of strength of Acceleration Control parameter；
3. driver accelerates custom parser：Acceleration custom during driver driving is analyzed by the frequency stepped on the gas suddenly；
4. accelerate irregularity parser：By compare power unstable when accelerator pedal fluctuate situation and fluctuation of speed feelings
Condition, analyze electric power unstable the reason for；
5. brake pedal too deep/excessively shallow parser：Become with the aperture of accelerator pedal by comparing brake pedal aperture rate of change
The difference of rate, analyzes the degree of strength of brake pedal control parameter；
6. irregularity event analysis algorithm is braked, by comparing the minimax acceleration in braking procedure with average acceleration
Difference, analyzes the flatness of brake pedal control parameter；
7. efficiency Energy Saving Algorithm：By analyzing cooling device from the time performance for reaching cooling effect is started, realize to cooling
The optimization of opening of device time, wherein cooling device include water pump and fan；
Wherein, algorithm 1. highest priority, 7. priority is minimum for algorithm, for the same group of control parameter for generating, using preferential
Level highest control parameter.
3. electric motor car big data analysis optimization method as claimed in claim 2, it is characterised in that：The management of traffic safety passes through
In the following manner is realized：Relation is changed over respectively according to following three formula to the voltage of all cells that system is stored
Calculated and analyzed：
Mean value formula
（1-1）
Vi：Monomer voltage, N：Cell sum
Cumulative errors formula
（1-2）
Soe：Error and,：Normal voltage, Vi:Monomer voltage
Rate of change integral formula
Ei=（1-3）
Ei：Cell transformation rate of change,
：Sampling adjacent time is poor,
：The corresponding voltage difference of adjacent time difference
By formula（1-2）Obtain the cumulative errors value of battery pack and canonical parameter, substantially can determine battery pack entirety
State；IfIt is less than cumulative errors thresholding, then further according to formula（1-1）Obtain average monomer electricity
Cell voltage, by calculating the absolute deviation of each monomer voltage and average voltage level, according toThe section is tentatively made a definite diagnosis
The state of battery；To deviationExceed the deviation threshold for settingCell, by the malfunction of the batteries
" waiting to make a definite diagnosis " is set to, " normal " is otherwise provided as；The cell of " waiting to make a definite diagnosis " is further analyzed, by the cell
Storage time pointVoltage value, according to formula（1-3）Calculate the voltage change ratio of the batteries；If the battery
Voltage change ratio is higher than the rate of change for limitingLim, then be set to " making a definite diagnosis " by the batteries malfunction.
4. electric motor car big data analysis optimization method as claimed in claim 2, it is characterised in that：Accelerator pedal is too deep/and excessively shallow
Analysis is accomplished by：By comparing motor actual speed in database, to compare minimum speed needed for shallow too deep analysis big
Rotating speed sample, calculate the difference of two neighboring rotating speed point；Work as differenceDuring less than initial target value n0 r/min, start
Statistics difference now；When rotating speed difference is reduced to below target end value n1 r/min, calculateFrom n0 r/min to n1
The time difference of r/min, and its average is calculated, and arithmetic acceleration a0 is obtained, the numerical value reflects the stable journey of reduction of speed/accelerator
Degree, numerical value are less, and accelerator is more steady；Work as rotating speedAfter reaching n1r/min, continue to hereafterIn time range
Speed discrepancy carry out sampling comparison, wherein=2×, and calculate average acceleration a1 that this section of Time Calculation is obtained；If
When a1 is less than the 1/2 of a0, then statisticsAverage pedal aperture in this period；If pedal aperture is less than stepping on for setting
The excessively shallow thresholding of plate, it is determined that motor driving torque is excessive under little pedal aperture；If pedal aperture is more than the pedal mistake for setting
Deep thresholding, it is determined that motor driving torque is too small under big pedal aperture；Determine accelerator pedal too deep/excessively shallow after, inquire about data
The Motor control parameters stored in storehouse, to Motor control parameters according to inequality formula（1-4）Multiple amplification is carried out, according to
Formula（1-5）Carry out/reduce：
p=（1-4）
p=（1-5）
a:Ratio of the current motor control mode relative to Rated motor moment of torsion, span be 0-1 between,
P is ratio of the motor control torque after optimizing relative to Rated motor value.
5. electric motor car big data analysis optimization method as claimed in claim 2, it is characterised in that：Driver accelerates custom analysis logical
Cross in the following manner realization：By being analyzed to the accelerator pedal aperture in sampling period some days, so as to find out due to parameter
The too low problem for causing to accelerate deficiency is set；The relative increment of adjacent twice pedal aperture is calculated first, if increment is more than set
Determine scope and be then considered as accelerated events；If stepping on accelerator pedal reach in very short time T0 pedal aperture 90% and more than, sentence
It is set to driver to step on the gas suddenly event；After determining accelerated events cumulative number value S in the sample range, further count and step on suddenly oil
The times N of door event, if ratio P of event of stepping on the gas suddenly, between 50% to 80%, wherein P=N/S is then considered as due to motor
The control parameter of driving torque is too low to be caused；Now, according to formula（1-6）Processed：
p=（1-6）
a:Ratio of the current motor control mode relative to Rated motor moment of torsion, span be 0-1 between,
P is ratio of the motor control torque after optimizing relative to Rated motor value.
6. electric motor car big data analysis optimization method according to claim 2, it is characterised in that：Accelerate the analysis of irregularity
It is accomplished by：The data sample of the power of motor, accelerator pedal aperture and motor speed in database is extracted, is calculated
Power of motor absolute difference between neighbouring sample point；IfExceed power swing threshold value, further calculate adjacent
The stability bandwidth of the stability bandwidth and rotating speed of accelerator pedal aperture, if as accelerator pedal fluctuation causes power swing, accelerate to step on
Plate cause power swing cumulative number from Jia 1 this；In the same manner, if because motor speed fluctuation causes, corresponding motor speed is led
Power swing cumulative number is caused to add 1.
7. electric motor car big data analysis optimization method as claimed in claim 2, it is characterised in that：Brake pedal is too deep/and excessively shallow
Analysis be accomplished by：Effective time with brake pedal between electric brake to pneumatic brake is judged which is sentenced
Disconnected benchmark is accelerator pedal aperture maximum rate of change SP_slope and brake pedal aperture maximum rate of change BP_ within the unit interval
Slope；Accelerator pedal aperture rate of change in Great possibility ought to be equal to brake pedal aperture under normal circumstances and become
Rate；On the premise of both absolute difference | BP_Slope-SP_slope | are more than the 25% of accelerator pedal rate of change, if system
Dynamic pedal aperture rate of change judges that brake pedal be present shallow more than the aperture rate of change of accelerator pedal；If brake pedal
Less than accelerator pedal aperture rate of change, aperture rate of change judges that brake pedal is too deep；Then by the control of brake pedal when too deep
Parameter reduces；Cross shallow, the control parameter of brake pedal is amplified；The coefficient of zoom is according to formula（1-7）Carry out：
p==（1-7）
Wherein, the aperture average rates of change of the SP_slope for accelerator pedal,
The average aperture rate of change of brake pedal when BP_slope is too deep or excessively shallow,
P is the zoom coefficient of the control parameter after optimizing and the front control parameter of optimization,
Cb_Before is original brake pedal control parameter,
Cb_After is the brake pedal control parameter after optimizing.
8. electric motor car big data analysis optimization method according to claim 2, it is characterised in that：Braking irregularity event
Analysis is accomplished by：By judging motor speed is braked with vehicle with whether the relation of brake pedal aperture meets
The duration of pedal increases, and the time period inside brake pedal aperture is constant, and the steady decline of motor speed is adding for motor speed
The working condition of constant airspeed；If acceleration maximum a_Max or minimum of a value a_Min of motor speed, phase in this period
For the proportionality coefficient of average acceleration a_Ave is less than between limits value 0.8 to 1.2, then judging to brake to stablize, otherwise judge
For braking irregularity event, the acceleration under the rotating speed point and braking aperture is determined whether, if acceleration is too low, is judged
The control point parameter of the rotating speed braking aperture is excessively weak, otherwise acceleration is excessive, then the control point parameter is too strong；When irregularity thing
When the probability of happening of part accounts for the restriction ratio of braking event, then it is diagnosed as the vehicle braking irregularity；Showed respect for what others feel by counting injustice
The excessively weak or too strong probability of happening in each control point under condition more than 90%, so as to make a definite diagnosis the irregularity reason at the control point；If control
Parameter processed is too strong, then by the control parameter at the control point according to formula（1-8）Weaken；Otherwise according to（1-9）Strengthened：
=（1-8）
=（1-9）
Wherein, Cb_Before is original brake pedal control parameter,
Cb_After is the brake pedal control parameter after optimizing,
Peak accelerations of the a_Max for aperture constant period of accelerator pedal,
Minimum accelerations of the a_Min for aperture constant period of brake pedal,
Average accelerations of the a_Ave for accelerator pedal aperture constant period.
9. electric motor car big data analysis optimization method according to claim 2, it is characterised in that：Efficiency energy-saving module passes through
Following methods are realized optimizing cooling device open-interval：If during opening of device temperature from TempH be reduced to TempL when
Between poorThe probability of the threshold event appearance that car load factory is arranged is less than more than 95%, then during the unlatching of adjustment cooling device
Between so as to open in higher motor temperature or battery temperature.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610937018.3A CN106503450B (en) | 2016-10-25 | 2016-10-25 | A kind of electric vehicle big data analysis optimization system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610937018.3A CN106503450B (en) | 2016-10-25 | 2016-10-25 | A kind of electric vehicle big data analysis optimization system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106503450A true CN106503450A (en) | 2017-03-15 |
| CN106503450B CN106503450B (en) | 2019-05-17 |
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