CN107145649A - The determination method of the coolant control parameter of electric automobile power battery - Google Patents
The determination method of the coolant control parameter of electric automobile power battery Download PDFInfo
- Publication number
- CN107145649A CN107145649A CN201710269668.XA CN201710269668A CN107145649A CN 107145649 A CN107145649 A CN 107145649A CN 201710269668 A CN201710269668 A CN 201710269668A CN 107145649 A CN107145649 A CN 107145649A
- Authority
- CN
- China
- Prior art keywords
- group
- electric automobile
- power battery
- coolant
- temperature
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/15—Vehicle, aircraft or watercraft design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/08—Thermal analysis or thermal optimisation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Computer Hardware Design (AREA)
- Automation & Control Theory (AREA)
- Aviation & Aerospace Engineering (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Secondary Cells (AREA)
Abstract
The invention discloses a kind of determination method of the coolant control parameter of electric automobile power battery, this method utilizes the entity heat management platform system of electric automobile power battery, its simulation model is modified, and orthogonal test method is used using the simulation model of amendment, determine coolant control parameter of the electric automobile power battery under different factor levels.The embodiment of the present invention is directed to many factors, the combination of a variety of levels uses orthogonal test method, to determine optimal coolant control parameter of the electric automobile power battery under different factor levels, it ensure that the accurate of Simulation results, reduce the number of times of experiment, shorten the test period, accelerate the research and development progress of electric automobile, reduce the R&D costs of electric automobile, it ensure that under many factors level and ensure the optimal coolant control parameter under the premise of the purpose of low consumption level, good control for electric automobile power battery temperature simultaneously reduces consumption and provides reliable experimental basis.
Description
Technical field
The present invention relates to electric automobile field of heat management, the coolant of more particularly to a kind of electric automobile power battery is controlled
Determination method for parameter.
Background technology
Lithium ion battery is the first choice of electric automobile power battery.The suitable operating temperature range of lithium ion battery is 10 DEG C
~30 DEG C, and the temperature in use scope of electric automobile is -30 DEG C~50 DEG C, it is seen that the appropriate working temperature scope of lithium ion battery
Much it is narrower than the temperature in use scope of electric automobile.
Electric automobile is different from orthodox car, and the electrokinetic cell of electric automobile is the power of all energy inputs of full car
Source.To ensure that charging electric vehicle can once have sufficiently long continual mileage and preferable driving experience, while ensuring power
Battery has sufficiently long service life, and the power source of electric automobile should meet continual mileage requirement, meets to drive again and relaxes
The requirement of adaptive, will also ensure that electrokinetic cell is operated in the requirement in Suitable ranges.
In order to ensure lithium ion battery has preferable charge-discharge characteristic and sufficiently long service life, electronic vapour is adapted to
The temperature in use scope of car, it is necessary to match corresponding heat management system for electric automobile power battery.Electrokinetic cell heat management system
The effect of system is exactly to control the temperature of electrokinetic cell in its suitable operating temperature range all the time.Heat management system is ensureing
While electrokinetic cell has sufficiently long service life, be again starting, traveling using vehicle during automobile etc. each
Working stage ensures the necessary means of dynamic property, economy, comfortableness and the reliability requirement of vehicle.
The common method that power battery thermal management system is controlled battery temperature includes:
(1) cold wind and hot blast of application air-conditioning, realize the refrigeration to battery and heating;
(2) cold and hot realized to electrokinetic cell system of application liquid medium is freezed or heated;
(3) refrigeration or the heating of electrokinetic cell system are realized using phase-change material.
Lithium-ion-power cell works long hours to be not suitable in temperature range at it, service life to electrokinetic cell and
Charge-discharge characteristic all has adverse effect on.And in order to control the temperature of lithium-ion-power cell, ignore lithium ion power electricity
The operating mode in pond, simply be passed through in the case of overheat cold liquid medium, supercooling situation be passed through heat liquid medium, can also
The waste of vehicle energy is caused, as it was previously stated, the electrokinetic cell of electric automobile is the power resources of all energy inputs of full car, is entered
And this method for not controlling liquid medium temperature can also shorten the distance travelled that electric automobile once charges.
The content of the invention
It is an object of the invention to provide a kind of determination method of the coolant control parameter of electric automobile power battery, and then
Obtain and temperature controlled optimal coolant control parameter is carried out to electric automobile power battery under any working condition, realize drop
Low consumed purpose.
The invention provides a kind of determination method of the coolant control parameter of electric automobile power battery, including:
Build the entity heat management platform system of electric automobile power battery;
Set up the heat management system simulation model of electric automobile power battery, the heat management system simulation model with it is described
Entity heat management platform system is consistent;
Using orthogonal test method, coolant control of the electric automobile power battery under different factor levels is determined
Parameter;Wherein,
The battery of tests in the orthogonal test method is carried out using the entity heat management platform system, to obtain the
One group of actual tests result;
The battery of tests in the orthogonal test method is carried out using the heat management system simulation model, to obtain the
One group of Simulation results;
It is imitative to the heat management system using first group of actual tests result and first group of Simulation results
True mode carries out first and corrected;
Remaining each group examination in the orthogonal test method is carried out using the first revised heat management system simulation model
Test, to determine coolant control parameter of the electric automobile power battery under different factor levels.
Further, the factor in the orthogonal test method includes:
Environment temperature, discharge-rate, rate of charge, coolant temperature, coolant rate;Wherein,
The environment temperature has four levels;
The discharge-rate has four levels;
The coolant temperature has four levels;
The coolant rate has four levels;
The rate of charge has two levels;
In the orthogonal test method, the evaluation index obtained under different factor levels includes the balance temperature of electrokinetic cell
Degree and consumption power;
The orthogonal test method uses L16(45) orthogonal test.
Further, each group of experimentation in the orthogonal test includes:
The discharge-rate for testing setting level according to this group discharges electrokinetic cell, when electrokinetic cell reaches that electric discharge is cut
Only stop electric discharge during condition;
Electrokinetic cell is stood first and sets duration;
The rate of charge for testing setting level according to this group discharges electrokinetic cell, when electrokinetic cell reaches that charging is cut
Only stop charging during condition;
Electrokinetic cell is stood second and sets duration;
Obtain the electrokinetic cell equilibrium temperature in the experiment of this group;
Complete the experiment of this group;
Wherein,
The coolant rate and this group setting level of this group setting level are remained in whole this group of process of the test
Coolant temperature is constant.
Further, after the described first amendment, methods described also includes:
Second group of experiment in the orthogonal test method is carried out using the entity heat management platform system, to obtain the
Two groups of actual tests results;
Second group of experiment in the orthogonal test method is carried out using the heat management system simulation model, to obtain the
Two groups of Simulation results;
It is imitative to the heat management system using second group of actual tests result and second group of Simulation results
True mode carries out second and corrected.
Further, after the described second amendment, methods described also includes:
The 3rd group of experiment in the orthogonal test method is carried out using the entity heat management platform system, to obtain the
Three groups of actual tests results;
The 3rd group of experiment in the orthogonal test method is carried out using the heat management system simulation model, to obtain the
Three groups of Simulation results;
It is imitative to the heat management system using the 3rd group of actual tests result and the 3rd group of Simulation results
True mode carries out the 3rd and corrected.
Further, after the described second amendment, methods described also includes:
The 3rd group of experiment in the orthogonal test method is carried out using the entity heat management platform system, to obtain the
Three groups of actual tests results;
The 3rd group of experiment in the orthogonal test method is carried out using the heat management system simulation model, to obtain the
Three groups of Simulation results;
Utilize the accuracy of the 3rd group of Simulation results described in the 3rd group of actual tests result verification.
Further, remaining each group in the orthogonal test method is carried out using revised heat management system simulation model
Experiment, to determine coolant control parameter of the electric automobile power battery under different factor levels, including:
Determine the electric automobile power battery under different factor levels using the extremum difference analysis of the orthogonal test
Coolant control parameter.
Further, methods described also includes:
In the actual charging process of the electrokinetic cell, measure the electrokinetic cell temperature change with time rate and
The temperature of electrokinetic cell during off-test, and during the electrokinetic cell actual discharge, measure the temperature of the electrokinetic cell
Spend the temperature of electrokinetic cell when changing with time rate and off-test;
Utilize the actual charging process temperature variations of the electrokinetic cell obtained and discharge process temperature change feelings
Condition and l-G simulation test date comprision, are optimized to the heat management system simulation model.
Further, four levels of the environment temperature are respectively -10 DEG C, 10 DEG C, 30 DEG C, 50 DEG C;
Four levels of the discharge-rate are respectively 0.5C, 1C, 1.5C, 2C;
Four levels of the coolant temperature are respectively 10 DEG C, 20 DEG C, 30 DEG C, 40 DEG C;
Four levels of the coolant rate are respectively 0.5L/min, 1L/min, 1.5L/min, 2L/min;
Two levels of the rate of charge are respectively 0.5C, 1C.
Further, the coolant control parameter includes coolant temperature and coolant rate.
From such scheme as can be seen that the determination side of the coolant control parameter of the electric automobile power battery of the present invention
Method, is used using the Simulation results after actual tests modified result, and for the combination of many factors, a variety of levels
Orthogonal test method, to determine optimal coolant control parameter of the electric automobile power battery under different factor levels.So as to
On the one hand, it is ensured that accurate, the another aspect of Simulation results, reduce the number of times of experiment, shorten test period, quickening
The research and development progress of electric automobile, the R&D costs for reducing electric automobile, another further aspect, it is ensured that under many factors level
And ensure the optimal coolant control parameter under the premise of the purpose of low consumption level, it is the good of electric automobile power battery temperature
Control and reduce consumption there is provided reliable experimental basis.
Brief description of the drawings
The following drawings only does schematic illustration and explanation to the present invention, not delimit the scope of the invention.
Fig. 1 is the determination embodiment of the method flow chart of the coolant control parameter of the electric automobile power battery of the present invention.
Fig. 2 is the step flow of each group of experiment in orthogonal test in the embodiment of the present invention.
Embodiment
In order to be more clearly understood to the technical characteristic of invention, purpose and effect, now control brief description of the drawings is of the invention
Embodiment, in the various figures identical label represent identical part.
Herein, " schematic " expression " serving as example, example or explanation ", will should not be described herein as " showing
Any diagram, the embodiment of meaning property " are construed to a kind of preferred or more advantageous technical scheme.
To make only to schematically show part related to the present invention in simplified form, each figure, and it is not represented
It is used as the practical structures of product.In addition, so that simplified form is readily appreciated, there is the portion of identical structure or function in some figures
Part, only symbolically depicts one of those, or has only marked one of those.
Herein, " one " is not offered as the quantity of relevant portion of the present invention being limited to " only this ", and " one
It is individual " do not indicate that the situation of the quantity " more than one " for excluding relevant portion of the present invention.
Herein, " on ", " under ", "front", "rear", "left", "right" etc. are only used for representing relative between relevant portion
Position relationship, and the absolute position of these non-limiting relevant portions.
Herein, " first ", " second " etc. are only used for mutual differentiation, rather than represent significance level and order and
Premise existed each other etc..
Herein, the limitation on the mathematics and/or geometry meaning of " equal ", " identical " etc. and non-critical, is also included
It will be appreciated by those skilled in the art that and manufacture or the error for the permission such as using.
Unless otherwise indicated, number range herein not only include two end points in gamut, also including containing
In some subranges therein.
The suitable operating temperature range of electrokinetic cell used in the embodiment of the present invention is is 10 DEG C~30 DEG C.It is normal to utilize
When coolant carries out temperature of powered cell control, when temperature of powered cell is less than its appropriate working temperature scope, heat management system
Unite and the coolant of heat is passed through for it, electrokinetic cell is heated up;When temperature of powered cell is higher than its appropriate working temperature scope, heat
Management system is passed through cold coolant for it, electrokinetic cell is cooled.
And the control of the temperature, flow to coolant is also required to consume the energy of electric automobile power battery.Using temperature as
Example, when needing cold medium to carry out temperature control for it in environment of the electric automobile in heat, coolant temperature is colder, then reduces
The energy that coolant temperature is consumed is more, and the too low coolant temperature of temperature may not necessarily reach best cooling-down effect;When
When electric automobile needs the medium of heat for its progress temperature control in cold environment, coolant temperature is hotter, then coolant institute
The energy of consumption is also more, and the too high coolant temperature of temperature may not necessarily also reach best temperature rise effect.It can be seen that, for
For the control of coolant temperature, in every kind of specific operating mode, all by interval, the Ji Nengbao with an optimal coolant temperature
Card electric automobile power battery is in optimum state and saves the energy that control coolant temperature is consumed to greatest extent.
And the main purpose of the embodiment of the present invention, electric automobile is exactly accurately found under various operating modes, it is determined that ensureing dynamic
The control parameter of coolant when power battery is operated in preferred ambient temperature scope, to ensure accurate control temperature of powered cell
Meanwhile, it is capable to minimum consumption electrokinetic cell energy.
As shown in figure 1, the determination embodiment of the method for the coolant control parameter of the electric automobile power battery of the present invention, bag
Include:
Step 1, the entity heat management platform system for building electric automobile power battery;
Step 2, the heat management system simulation model for setting up electric automobile power battery, the heat management system simulation model
It is consistent with the entity heat management platform system;
Step 3, using orthogonal test method, determine cooling of the electric automobile power battery under different factor levels
Liquid control parameter.
Wherein, in step 3, orthogonal test is a kind of multifactor multilevel test method of research, and it is according to orthogonal
Property picked out from comprehensive test part it is representational point tested, these representational points possess dispersed, neat
Whole comparable the characteristics of, orthogonal test is a kind of high efficiency, quick, economic experimental design method.
In the embodiment of the present invention, the environment temperature of coolant control parameter and electric automobile, electric automobile power battery
The indexs such as discharge-rate, rate of charge are related, and each index also have it is respective change scope, therefore comprehensively to obtain
Optimal coolant control parameter under the various conditional combinations of each index is, it is necessary to carry out substantial amounts of experiment.To utilize entity
Electric automobile power battery heat management system, then also to continue per battery of tests for quite a long time, it is therefore, complete to carry out
The real experiment in face, then may carry out the time of several years, and from time and research and development angle, this way obviously can not connect
By.Therefore, orthogonal test method is used in step 3 of the embodiment of the present invention.
Although orthogonal test method can reduce experiment number, shorten test period, still there is substantial amounts of experiment
Need to carry out.Therefore, the embodiment of the present invention uses the means that entity heat management platform system and simulation model are combined.Utilize reality
The result of the test of body heat management platform system is modified to simulation model so that simulation model is more nearly reality.Final profit
It is fast and close to the effect of actual result that arithmetic speed is obtained with simulation model.
Specific in the embodiment of the present application, in step 3:
The battery of tests in the orthogonal test method is carried out using the entity heat management platform system, to obtain the
One group of actual tests result;
The battery of tests in the orthogonal test method is carried out using the heat management system simulation model, to obtain the
One group of Simulation results;
It is imitative to the heat management system using first group of actual tests result and first group of Simulation results
True mode carries out first and corrected;
Remaining each group examination in the orthogonal test method is carried out using the first revised heat management system simulation model
Test, to determine coolant control parameter of the electric automobile power battery under different factor levels.
In general, the heat management system simulation model of the first revised electric automobile power battery, Neng Gouji are carried out
This is adapted to subsequent experiment, still, in order to obtain more accurate data, and the embodiment of the present invention can also carry out the second amendment and the
Three amendments, specifically:
After being corrected by described first, the step of embodiment of the present invention also carries out following second amendment:
Second group of experiment in the orthogonal test method is carried out using the entity heat management platform system, to obtain the
Two groups of actual tests results;
Second group of experiment in the orthogonal test method is carried out using the heat management system simulation model, to obtain the
Two groups of Simulation results;
It is imitative to the heat management system using second group of actual tests result and second group of Simulation results
True mode carries out second and corrected.
After being corrected by described second, alternatively, the step of embodiment of the present invention also carries out following 3rd amendment:
The 3rd group of experiment in the orthogonal test method is carried out using the entity heat management platform system, to obtain the
Three groups of actual tests results;
The 3rd group of experiment in the orthogonal test method is carried out using the heat management system simulation model, to obtain the
Three groups of Simulation results;
It is imitative to the heat management system using the 3rd group of actual tests result and the 3rd group of Simulation results
True mode carries out the 3rd and corrected.
After as above three times are corrected, it is fine that Simulation results have been coincide with full-scale test result, and error reaches
The scope of permission.
In general, after second corrects, Simulation results error can just reach the scope of permission, now can be with
Verified using the 3rd group of experiment, and without once being corrected again, if the scope that error allows still is not up to, then
Carry out the 3rd amendment.Verification process includes, after the described second amendment:
The 3rd group of experiment in the orthogonal test method is carried out using the entity heat management platform system, to obtain the
Three groups of actual tests results;
The 3rd group of experiment in the orthogonal test method is carried out using the heat management system simulation model, to obtain the
Three groups of Simulation results;
Utilize the accuracy of the 3rd group of Simulation results described in the 3rd group of actual tests result verification.
For above-mentioned amendment, in the embodiment of the present invention, in the following way:
In the actual charging process of the electrokinetic cell, measure the electrokinetic cell temperature change with time rate and
The temperature of electrokinetic cell during off-test, and during the electrokinetic cell actual discharge, measure the temperature of the electrokinetic cell
Spend the temperature of electrokinetic cell when changing with time rate and off-test;
Utilize the actual charging process temperature variations of the electrokinetic cell obtained and discharge process temperature change feelings
Condition and l-G simulation test date comprision, are optimized to the heat management system simulation model.
The orthogonal test method that the embodiment of the present invention is used includes five factors, i.e. environment temperature, discharge-rate, charging times
Rate, coolant temperature, coolant rate.Wherein, the environment temperature has four levels;The discharge-rate has four levels;
The coolant temperature has four levels;The coolant rate has four levels;The rate of charge has two levels.
In the orthogonal test method, the evaluation index obtained under different factor levels includes electrokinetic cell equilibrium temperature
With consumption power, wherein, it is described consumption power refer to maintain the electrokinetic cell in the power required for its preference temperature.
As a result of the design of the level of five factor four, therefore, in the embodiment of the present invention, orthogonal test uses L16(45) just
Hand over experiment.Its orthogonal test designs table such as table 1.
The orthogonal test designs table of table 1
Wherein, factors A such as environment temperature, factor B such as discharge-rate, factor C such as rate of charge, factor D be for example
Coolant temperature, factor E such as coolant rates.
In the embodiment of the present invention, as shown in Fig. 2 each group of experiment in the orthogonal test comprises the following steps:
Step a, the discharge-rate for testing setting level according to this group discharge electrokinetic cell, when electrokinetic cell reaches
Stop electric discharge during cut-off condition of discharging;
Step b, by electrokinetic cell stand first set duration;
Step c, the rate of charge for testing setting level according to this group discharge electrokinetic cell, when electrokinetic cell reaches
Stop charging during charge cutoff condition;
Step d, by electrokinetic cell stand first set duration;
Step e, the electrokinetic cell equilibrium temperature obtained in the experiment of this group;
Step e completes the experiment of this group after being finished.
The coolant rate and this group setting level of this group setting level are remained in whole this group of process of the test
Coolant temperature is constant.
In the embodiment of the present invention, the analysis of result of the test uses extremum difference analysis, utilizes the extreme difference point of the orthogonal test
Analysis method determines coolant control parameter of the electric automobile power battery under different factor levels, the coolant control parameter
Including coolant temperature and coolant rate.
Below in conjunction with a specific experiment, the determination to the coolant control parameter of the electric automobile power battery of the present invention
Embodiment of the method is further described.
The experiment is to test the method combined with l-G simulation test by stand (entity) to determine optimal coolant control parameter.
On the one hand the entity stand that the entity heat management platform system of electric automobile power battery is built according to actual three-dimensional model diagram is tried
Check system, imitates real vehicle actual motion state;On the other hand, according to the entity heat management platform system of electric automobile power battery
Pipeline schematic diagram, flow pressure situation of change in each part practical operation situation and pipeline in pipeline, build and entity platform
The consistent Simulation Calculation of frame pilot system.The main purpose of entity bench test progress synchronous with l-G simulation test is, sharp
The computation model (simulation model) of l-G simulation test is verified with entity bench test, accurate simulation model is reapplied instead of entity platform
Frame experiment completes the operating condition of test of more multigroup setting.It so both can guarantee that and effectively determined heat management under the various operating modes of electric automobile
The temperature of fluid dielectric coolant in system;Meanwhile, simulation model can effectively improve the effect for determining coolant temperature under various operating modes again
Rate.
In order to closer to actual condition, although carry out entity bench test more saves time and cost than real train test,
For security consideration, each group of bench test, which still needs night, has testing crew on duty in laboratory, and personnel's number must not be small
In 2 people.Every group of experiment need to require to carry out in strict accordance with experimental design, be required to use insulating box as experiment offer environment temperature
Degree.The temperature for the coolant being passed through in electrokinetic cell is main by environment temperature, electrokinetic cell discharge-rate, rate of charge, cooling
The five factors influence of liquid temperature degree and piping flow (i.e. coolant rate), environment temperature, discharge-rate coolant temperature and
This four factors of flow have four levels in pipeline, and rate of charge has two levels, that is to say, that if all experiments are complete
All carried out with entity stand, the test number (TN) needed altogether is:
44× 2=512 times
512 experiments, did one group to calculate according to one day night, it is meant that need the time of about a year and a half, and this year
Half time included festivals or holidays, the overtime work of Saturday day, and in the every process of the test carried out according to experimental design, tested institute
The various test equipments being related to are normal operating conditions, it is impossible to situation about can not normally use occur, in addition, many experiments are all
Need to be applied to insulating box, insulating box is occupied always certainly will to cause the delay of whole R&D cycle.It can be seen that, according to traditional experiment
Design method needs a large amount of manpowers and the material resources consumed, extends the R&D cycle.
In order to shorten the R&D cycle, it is to avoid the situation of 512 experiments, the embodiment of the present invention uses L16(45) orthogonal test side
Method completes experiment, it is ensured that on the premise of test effect is not influenceed, be reduced as far as test number (TN).For needing carry out 512
Secondary experiment can just judge the optimal coolant temperature experiment of operating mode, using L16(45) orthogonal test table, it is only necessary to carry out 16 times
Experiment just can obtain result of the test, be only the 1/32 of normal all experiment summations.
Although required test number (TN) is significantly reduced, this 16 times experiments are also required to 16 night overtime works, test operation mistake
Night needs 2 test operation personnel to carry out test direction in journey, and need also exist for 2 test operation personnel and tested in the evening.
And during actual tests, due to being in the bench test stage, in the case of varying environment temperature and charge-discharge magnification, such as
The power of what determination compressor or the heating power of heater (such as ptc heater) are cooled down in the pipeline to meet heat management system
Liquid temperature degree design requirement, it is still desirable to carry out repetition test, to be finally reached a stationary value.Thus, actual conditions are, one day
One night did not probably finish battery of tests, and the completion of battery of tests needs the time more than 1 day, that is to say, that if 16 groups
Experiment is all carried out, and is that this 16 groups of experiments are also 8 engineers work of one month in the case where Saturday day does not work overtime
Amount.Because specific process of the test is:By electrokinetic cell insulating box set by environment temperature in stand 12 hours.Treat whole
Individual platform system is kept at after the ambient temperature conditions needed for experiment, and electrokinetic cell is under different operating conditions, it is determined that making
The running status (such as temperature) residing for coolant of each part in assigned temperature is obtained, heat under the environment temperature is ensured when determining
Coolant is reached after the temperature of test requirements document in management system, opens experiment;In whole process of the test, it is required to set according to experiment
Meter requires to be passed through the coolant of target flow and temperature for hydroecium inside electrokinetic cell;The step of every group of experiment, includes:1. according to
The discharge-rate of experimental design requirement discharges electrokinetic cell, stops after electrokinetic cell reaches electric discharge cut-off condition;②
Electrokinetic cell stands 1 hour (flow of coolant keeps constant with temperature during standing);3. required according to experimental design
Rate of charge charges to electrokinetic cell, stops charging after power battery charging cut-off condition is reached;4. after standing 1 hour
(flow of coolant keeps constant with temperature during standing), one group of examination terminates.
To reduce numerous and diverse experiment, it can be derived that again in experimental design result, the embodiment of the present invention, in process of the test,
Carried out simultaneously using entity bench test and l-G simulation test.Pass through orthogonal test table L16(45) in preceding two groups of experiments, gradually repair
Positive Simulation Calculation, then pass through the correctness of the 3rd group of verification experimental verification simulation model.This test design method, Ke Yibao
Card completed required bench test within one week, then used most week ages, and each operating mode just can be obtained by simulation model
Test data.Orthogonal test table L16(45) described in environment temperature four levels be respectively set to -10 DEG C, 10 DEG C, 30 DEG C,
50℃;Four levels of the discharge-rate are respectively set to 0.5C, 1C, 1.5C, 2C;Four levels of the coolant temperature
It is respectively set to 10 DEG C, 20 DEG C, 30 DEG C, 40 DEG C;Four levels of the coolant rate are respectively set to 0.5,1,1.5,2;
Two levels of the rate of charge are respectively set to 0.5C, 1C.As shown in table 2, table 3 is the orthogonal test to the orthogonal test table
On the factor level table continued of electrokinetic cell equilibrium temperature, table 4 is factor level table of the orthogonal test on consuming power
Continued.
The orthogonal test factor level table of the embodiment of the present invention of table 2
Table 3
Wherein,
K11_A=a1+a2+a3+a4、K12_A=a5+a6+a7+a8、K13_A=a9+a10+a11+a12、K14_A=a13+a14+a15+
a16;
K11_B=a1+a5+a9+a13、K12_B=a2+a6+a10+a14、K13_B=a3+a7+a11+a15、K14_B=a4+a8+a12+
a16;
K11_C=a1+a3+a4+a5+a6+a7+a9+a10+a12+a14+a15+a16、K12_C=a2+a8+a11+a13;
K11_D=a1+a6+a11+a16、K12_D=a2+a5+a12+a15、K13_D=a3+a8+a9+a14、K14_D=a4+a7+a10+
a13;
K11_E=a1+a8+a10+a15、K12_E=a2+a7+a9+a16、K13_E=a3+a6+a12+a13、K14_E=a4+a5+a11+
a14;
k1Amax=max { k11A,k12A,k13A,k14A}、k1Amin=min { k11A,k12A,k13A,k14A};
k1Bmax=max { k11B,k12B,k13B,k14B}、k1Bmin=min { k11B,k12B,k13B,k14B};
k1Cmax=max { k11C,k12C}、k1Cmin=min { k11C,k12C};
k1Dmax=max { k11D,k12D,k13D,k14D}、k1Dmin=min { k11D,k12D,k13D,k14D};
k1Emax=max { k11E,k12E,k13E,k14E}、k1Emin=min { k11E,k12E,k13E,k14E}。
Table 4
Wherein,
K21_A=b1+b2+b3+b4、K22_A=b5+b6+b7+b8、K23_A=b9+b10+b11+b12、K24_A=b13+b14+b15+
b16;
K21_B=b1+b5+b9+b13、K22_B=b2+b6+b10+b14、K23_B=b3+b7+b11+b15、K24_B=b4+b8+b12+
b16;
K21_C=b1+b3+b4+b5+b6+b7+b9+b10+b12+b14+b15+b16、K22_C=b2+b8+b11+b13;
K21_D=b1+b6+b11+b16、K22_D=b2+b5+b12+b15、K23_D=b3+b8+b9+b14、K24_D=b4+b7+b10+
b13;
K21_E=b1+b8+b10+b15、K22_E=b2+b7+b9+b16、K23_E=b3+b6+b12+b13、K24_E=b4+b5+b11+
b14;
k2Amax=max { k21A,k22A,k23A,k24A}、k2Amin=min { k21A,k22A,k23A,k24A};
k2Bmax=max { k21B,k22B,k23B,k24B}、k2Bmin=min { k21B,k22B,k23B,k24B};
k2Cmax=max { k21C,k22C}、k2Cmin=min { k21C,k22C};
k2Dmax=max { k21D,k22D,k23D,k24D}、k2Dmin=min { k21D,k22D,k23D,k24D};
k2Emax=max { k21E,k22E,k23E,k24E}、k2Emin=min { k21E,k22E,k23E,k24E}。
Tested according to above table, and by result of the test according to inserting in above-mentioned each table.
In the present embodiment, according to entity bench test verify simulation model initial trial in, different discharge-rates with
Under rate of charge, electrokinetic cell liberated heat is determined jointly according to cell experiment with experience.After primarily determining that, then
Further model optimization is done according to actual bench test.
It is determined that the calculation of the caloric value of each power battery module is:Testing used power battery module is
4P24S (4 and 24 string), totally 96 pieces of lithium ion single electrokinetic cells.Lithium ion single battery is 25Ah (ampere-hour), with reference to actual examination
Test understand one piece of 25Ah monomer lithium ion battery carry out 1C electric discharges when heating power about 3W, and then, respectively with 0.5C,
1C, 1.5C and 2C power discharge, the heating power that 4P24S electrokinetic cell is total is respectively:
The heating power of electrokinetic cell is when 0.5C discharges:3×0.52×96≈72W
The heating power of electrokinetic cell is when 1C discharges:3×12×96≈288W
The heating power of electrokinetic cell is when 1.5C discharges:3×1.52×96≈648W
The heating power of electrokinetic cell is when 2C discharges:3×22×96≈1152W
The thermal source of above-mentioned heating power as electrokinetic cell is inputed into simulation model, to carry out the amendment of simulation model.
In general, in above-mentioned orthogonal test table in battery of tests, the result of the test obtained using entity heat management platform system
Simulation results are carried out after the first amendment, the accuracy of l-G simulation test just with full-scale test result closely, be
Obtain more accurate result, it is possible to use second group of experiment in above-mentioned orthogonal test table, reuse entity heat management platform
The result of the test that frame system is obtained carries out second to Simulation results and corrected, and just may not necessarily be repaiied in general carrying out the 3rd
Just.Certainly, in order to accuracy is improved again, it is possible to use the 3rd group of experiment in above-mentioned orthogonal test table, is carried out again
Three amendments, although accuracy can be improved, but had little significance for real vehicle operation.But can be in the 3rd group of experiment, profit
With the accuracy of the 3rd group of Simulation results of the 3rd group of actual tests result verification, it is with the error for determining Simulation results
It is no in allowed limits.
One-dimensional simulation model amendment is verified complete by first three group object bench test, remaining 13 groups of experiment is equal
Simulation model complete independently after verifying.Bench test is completed into result and simulation result according to above-mentioned table 1 to 4,
Insert in corresponding form.
In orthogonal test designs table, extreme difference is bigger, and the explanation factor pair this evaluation index is more sensitive, and its optimal case is
For the corresponding value of corresponding k values maximal term.For example, for electrokinetic cell equilibrium temperature, if (environment temperature in the factors A obtained
Degree) k11A(i.e. environment temperature is under the conditions of -10 DEG C) are maximum, the k of factor B (discharge-rate)14B(i.e. discharge-rate is 2C conditions
Under) maximum, factor C (i.e. rate of charge) k12C(i.e. rate of charge is under the conditions of 0.5C) is maximum, and factor D (cools down liquid temperature
Degree) k13D(i.e. coolant temperature is under the conditions of 30 DEG C) maximum, factor E (i.e. coolant rate that is, piping flow) k11E
(i.e. coolant rate is under the conditions of 0.5L/min) is maximum, then optimal case is exactly A11B14C12D13E11(- 10 DEG C of environment temperature,
Discharge-rate 2C, rate of charge 0.5C, 30 DEG C of coolant temperature, coolant rate 0.5L/min), it may thereby determine that and work as environment
Temperature is -10 DEG C of environment temperature, discharge-rate when being that 2C, rate of charge are 0.5C, and optimal coolant control parameter is cooling
30 DEG C of liquid temperature degree, coolant rate 0.5L/min.And actual this group of test combinations embody not in above-mentioned orthogonal test table
Out, i.e., reality does not carry out the experiment of this group of condition, that is, the bench test carried out according to orthogonal test table is tried with emulation
Test the Test Sequences for not being related to the combination.
In the embodiment of the present invention, as described above described in each table, first group of orthogonal test table is related to subzero because of environment temperature
With it is above freezing, sum up come coolant temperature optimum operating mode may be only applicable for it is above freezing or subzero, at this point it is possible to total by this
The rule come is born, redesign two is orthogonal test table above freezing or subzero just for environment temperature.Just it can so obtain
Go out optimum temperature and corresponding coolant that electrokinetic cell of the environment temperature under extremely low or high operating mode is passed through coolant
Flow.
The embodiment of the present invention is applied to power battery thermal management system field, and the system is entered when battery temperature is low to battery
Row heating, when battery temperature is high, cools to battery, and its main execution unit and mode are ptc heater, air-conditioner pipe
Opening for road delivery port flow and water pump turns, thus by the power of ptc heater, heat exchanger outlet temperature and water pump
Open the output quantity as heat management system.The main services object of heat management system is electric automobile power battery system, its
Working condition can be characterized by power battery charging discharge-rate, determine that the two amounts can determine that the work of now heat management system
Target.The input quantity of heat management system includes:Environment temperature, electrokinetic cell charge-discharge magnification, coolant temperature, piping flow;
Output quantity includes:The open and close state of PTC outlet temperatures, heat exchanger outlet temperature and pump.Pass through above-mentioned examination
Test, corresponding cooling liquid temperature just can be determined according to the environment temperature residing for actual electric automobile, electrokinetic cell charge-discharge magnification
Degree and piping flow, and then control the open and close state of PTC outlet temperatures, heat exchanger outlet temperature and pump real
Low consumed purpose now drops.
The embodiment of the present invention is deployed around entity bench test and l-G simulation test.Draw electrokinetic cell low by experiment
The optimum temperature state and corresponding discharge for the coolant that warm environment and hot environment need, you can enter one according to this index
Step is determined in low temperature environment PTC outlet temperatures, in hot environment heat exchanger water inlet flow and true by the rotating speed of pump
The fixed optimum flow value to whole heat management system.
The determination method of the coolant control parameter of the electric automobile power battery of the present invention, using by actual tests knot
Really revised Simulation results, and orthogonal test method is used for many factors, the combination of a variety of levels, to determine electricity
Optimal coolant control parameter of the electrical automobile electrokinetic cell under different factor levels.So as on the one hand, it is ensured that l-G simulation test
As a result accurate, on the other hand, reduce the number of times of experiment, the research and development progress for shortening the test period, accelerating electric automobile,
Reduce the R&D costs of electric automobile, another further aspect, it is ensured that under many factors level and ensure the mesh of low consumption level
On the premise of optimal coolant control parameter, good control for electric automobile power battery temperature simultaneously reduces consumption and provides
Reliable experimental basis.
Be used it should be appreciated that the file being cited herein is only for reference, and not comprising it is any its may be with this paper's
Afoul content.
It should be understood that, although this specification is described according to each embodiment, but not each embodiment is only wrapped
Containing an independent technical scheme, this narrating mode of specification is only that for clarity, those skilled in the art should
Using specification as an entirety, the technical scheme in each embodiment may also be suitably combined to form people in the art
The understandable other embodiment of member.
Those listed above is a series of to be described in detail only for feasibility embodiment of the invention specifically
It is bright, and and be not used to limit the scope of the invention, all equivalent embodiments made without departing from skill spirit of the present invention or
Change, combination, segmentation or the repetition of such as feature, should be included in the scope of the protection.
Claims (10)
1. a kind of determination method of the coolant control parameter of electric automobile power battery, it is characterised in that including:
Build the entity heat management platform system of electric automobile power battery;
Set up the heat management system simulation model of electric automobile power battery, the heat management system simulation model and the entity
Heat management platform system is consistent;
Using orthogonal test method, coolant control ginseng of the electric automobile power battery under different factor levels is determined
Number;Wherein,
The battery of tests in the orthogonal test method is carried out using the entity heat management platform system, to obtain first group
Actual tests result;
The battery of tests in the orthogonal test method is carried out using the heat management system simulation model, to obtain first group
Simulation results;
Mould is emulated to the heat management system using first group of actual tests result and first group of Simulation results
Type carries out first and corrected;
Remaining each group experiment in the orthogonal test method is carried out using the first revised heat management system simulation model, with
Determine coolant control parameter of the electric automobile power battery under different factor levels.
2. the determination method of the coolant control parameter of electric automobile power battery according to claim 1, its feature exists
In the factor in the orthogonal test method includes:
Environment temperature, discharge-rate, rate of charge, coolant temperature, coolant rate;Wherein,
The environment temperature has four levels;
The discharge-rate has four levels;
The coolant temperature has four levels;
The coolant rate has four levels;
The rate of charge has two levels;
In the orthogonal test method, the equilibrium temperature of the evaluation index obtained under different factor levels including electrokinetic cell and
Consume power;
The orthogonal test method uses L16(45) orthogonal test.
3. the determination method of the coolant control parameter of electric automobile power battery according to claim 2, its feature exists
In each group of experimentation in the orthogonal test includes:
The discharge-rate for testing setting level according to this group discharges electrokinetic cell, when electrokinetic cell reaches electric discharge cut-off bar
Stop electric discharge during part;
Electrokinetic cell is stood first and sets duration;
The rate of charge for testing setting level according to this group discharges electrokinetic cell, when electrokinetic cell reaches charge cutoff bar
Stop charging during part;
Electrokinetic cell is stood second and sets duration;
Obtain the electrokinetic cell equilibrium temperature in the experiment of this group;
Complete the experiment of this group;
Wherein,
The coolant rate of this group setting level and the cooling of this group setting level are remained in whole this group of process of the test
Liquid is temperature-resistant.
4. the determination method of the coolant control parameter of electric automobile power battery according to claim 1, its feature exists
In after the described first amendment, methods described also includes:
Second group of experiment in the orthogonal test method is carried out using the entity heat management platform system, to obtain second group
Actual tests result;
Second group of experiment in the orthogonal test method is carried out using the heat management system simulation model, to obtain second group
Simulation results;
Mould is emulated to the heat management system using second group of actual tests result and second group of Simulation results
Type carries out second and corrected.
5. the determination method of the coolant control parameter of electric automobile power battery according to claim 4, its feature exists
In after the described second amendment, methods described also includes:
The 3rd group of experiment in the orthogonal test method is carried out using the entity heat management platform system, to obtain the 3rd group
Actual tests result;
The 3rd group of experiment in the orthogonal test method is carried out using the heat management system simulation model, to obtain the 3rd group
Simulation results;
Mould is emulated to the heat management system using the 3rd group of actual tests result and the 3rd group of Simulation results
Type carries out the 3rd and corrected.
6. the determination method of the coolant control parameter of electric automobile power battery according to claim 4, its feature exists
In after the described second amendment, methods described also includes:
The 3rd group of experiment in the orthogonal test method is carried out using the entity heat management platform system, to obtain the 3rd group
Actual tests result;
The 3rd group of experiment in the orthogonal test method is carried out using the heat management system simulation model, to obtain the 3rd group
Simulation results;
Utilize the accuracy of the 3rd group of Simulation results described in the 3rd group of actual tests result verification.
7. the determination method of the coolant control parameter of electric automobile power battery according to claim 1, its feature exists
In remaining each group carried out using revised heat management system simulation model in the orthogonal test method is tested, to determine
Coolant control parameter of the electric automobile power battery under different factor levels, including:
Determine that the electric automobile power battery is cold under different factor levels using the extremum difference analysis of the orthogonal test
But liquid control parameter.
8. the determination method of the coolant control parameter of the electric automobile power battery according to any one of claim 1 to 7,
Characterized in that, methods described also includes:
In the actual charging process of the electrokinetic cell, the temperature for measuring the electrokinetic cell changes with time rate and experiment
At the end of electrokinetic cell temperature, and during the electrokinetic cell actual discharge, measure the temperature of the electrokinetic cell with
The temperature of electrokinetic cell when the rate of change of time and off-test;
Utilize the actual charging process temperature variations of the electrokinetic cell obtained and discharge process temperature variations with
L-G simulation test date comprision, is optimized to the heat management system simulation model.
9. the determination method of the coolant control parameter of the electric automobile power battery according to Claims 2 or 3, its feature
It is:
Four levels of the environment temperature are respectively -10 DEG C, 10 DEG C, 30 DEG C, 50 DEG C;
Four levels of the discharge-rate are respectively 0.5C, 1C, 1.5C, 2C;
Four levels of the coolant temperature are respectively 10 DEG C, 20 DEG C, 30 DEG C, 40 DEG C;
Four levels of the coolant rate are respectively 0.5L/min, 1L/min, 1.5L/min, 2L/min;
Two levels of the rate of charge are respectively 0.5C, 1C.
10. the determination side of the coolant control parameter of the electric automobile power battery according to any one of claim 1 to 7
Method, it is characterised in that:
The coolant control parameter includes coolant temperature and coolant rate.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710269668.XA CN107145649A (en) | 2017-04-24 | 2017-04-24 | The determination method of the coolant control parameter of electric automobile power battery |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710269668.XA CN107145649A (en) | 2017-04-24 | 2017-04-24 | The determination method of the coolant control parameter of electric automobile power battery |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107145649A true CN107145649A (en) | 2017-09-08 |
Family
ID=59774864
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710269668.XA Pending CN107145649A (en) | 2017-04-24 | 2017-04-24 | The determination method of the coolant control parameter of electric automobile power battery |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107145649A (en) |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109088124A (en) * | 2018-08-01 | 2018-12-25 | 桑德集团有限公司 | The control strategy of battery liquid cooling system determines method and device |
CN109188286A (en) * | 2018-08-06 | 2019-01-11 | 北京长城华冠汽车科技股份有限公司 | A kind of determination method and device of battery system temperature difference influence factor |
CN110941911A (en) * | 2019-12-04 | 2020-03-31 | 西南交通大学 | Heat dissipation simulation optimization method of lithium ion battery based on orthogonal test method |
CN112060976A (en) * | 2020-09-16 | 2020-12-11 | 广州小鹏汽车科技有限公司 | Heating method and device for vehicle power battery and vehicle |
CN112329336A (en) * | 2020-10-22 | 2021-02-05 | 同济大学 | Method for planning charging-cooling process of battery pack of electric vehicle |
CN113158589A (en) * | 2021-02-07 | 2021-07-23 | 中国第一汽车股份有限公司 | Simulation model calibration method and device of battery management system |
CN113258160A (en) * | 2020-02-12 | 2021-08-13 | 北京新能源汽车股份有限公司 | Power battery thermal management strategy determination method, device and system |
CN117826615A (en) * | 2024-02-28 | 2024-04-05 | 天津广瑞达汽车电子有限公司 | Method for determining control parameters of cooling liquid of power battery of electric automobile |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110060539A1 (en) * | 2008-03-28 | 2011-03-10 | Antonio Sciarretta | Method of estimating the non-measurable characteristics of an electrochemical system |
CN105552478A (en) * | 2016-01-15 | 2016-05-04 | 温州大学 | Design method of power battery temperature control system and corresponding control system |
CN105742736A (en) * | 2016-03-31 | 2016-07-06 | 北京长城华冠汽车科技股份有限公司 | Heat management experiment apparatus and method for power battery of electric vehicle |
-
2017
- 2017-04-24 CN CN201710269668.XA patent/CN107145649A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110060539A1 (en) * | 2008-03-28 | 2011-03-10 | Antonio Sciarretta | Method of estimating the non-measurable characteristics of an electrochemical system |
CN105552478A (en) * | 2016-01-15 | 2016-05-04 | 温州大学 | Design method of power battery temperature control system and corresponding control system |
CN105742736A (en) * | 2016-03-31 | 2016-07-06 | 北京长城华冠汽车科技股份有限公司 | Heat management experiment apparatus and method for power battery of electric vehicle |
Non-Patent Citations (4)
Title |
---|
李军求等: "电动车辆动力电池热管理技术研究", 《第三届特种车辆全电化技术发展论坛论文集》 * |
王贤海: "PEMFC发动机热管理系统设计及仿真研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
高思远等: "发动机冷却与性能耦合仿真方法与实验研究", 《第十六届全国大功率柴油机学术年会论文集》 * |
黄晨东等: "《系统工程指导下的产品开发》", 31 July 2014 * |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109088124A (en) * | 2018-08-01 | 2018-12-25 | 桑德集团有限公司 | The control strategy of battery liquid cooling system determines method and device |
CN109188286A (en) * | 2018-08-06 | 2019-01-11 | 北京长城华冠汽车科技股份有限公司 | A kind of determination method and device of battery system temperature difference influence factor |
CN110941911A (en) * | 2019-12-04 | 2020-03-31 | 西南交通大学 | Heat dissipation simulation optimization method of lithium ion battery based on orthogonal test method |
CN113258160A (en) * | 2020-02-12 | 2021-08-13 | 北京新能源汽车股份有限公司 | Power battery thermal management strategy determination method, device and system |
CN113258160B (en) * | 2020-02-12 | 2022-05-10 | 北京新能源汽车股份有限公司 | Power battery thermal management strategy determination method, device and system |
CN112060976A (en) * | 2020-09-16 | 2020-12-11 | 广州小鹏汽车科技有限公司 | Heating method and device for vehicle power battery and vehicle |
CN112329336A (en) * | 2020-10-22 | 2021-02-05 | 同济大学 | Method for planning charging-cooling process of battery pack of electric vehicle |
CN113158589A (en) * | 2021-02-07 | 2021-07-23 | 中国第一汽车股份有限公司 | Simulation model calibration method and device of battery management system |
CN113158589B (en) * | 2021-02-07 | 2022-09-16 | 中国第一汽车股份有限公司 | Simulation model calibration method and device of battery management system |
CN117826615A (en) * | 2024-02-28 | 2024-04-05 | 天津广瑞达汽车电子有限公司 | Method for determining control parameters of cooling liquid of power battery of electric automobile |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107145649A (en) | The determination method of the coolant control parameter of electric automobile power battery | |
Vatanparvar et al. | Battery lifetime-aware automotive climate control for electric vehicles | |
CN102622794B (en) | Electricity continual mileage counter | |
Hémery et al. | Experimental performances of a battery thermal management system using a phase change material | |
Lopez-Sanz et al. | Nonlinear model predictive control for thermal management in plug-in hybrid electric vehicles | |
Lin et al. | Parameterization and observability analysis of scalable battery clusters for onboard thermal management | |
CN105608273B (en) | A kind of system optimizing power battery pack Temperature Distribution based on CFD software | |
Kiss et al. | Modeling of an electric vehicle thermal management system in MATLAB/Simulink | |
CN102841315B (en) | Test platform for hardware-in-the-loop simulation of power storage battery system | |
CN109542088A (en) | Fuel cell car integrated thermal management method and its rapid control prototyping implementation method | |
Fan et al. | Optimization of cooling strategies for an electric vehicle in high-temperature environment | |
CN107317057A (en) | A kind of electrokinetic cell service life prediction and prediction meanss | |
Titov et al. | Matlab/simulink framework for modeling complex coolant flow configurations of advanced automotive thermal management systems | |
Enthaler et al. | Thermal management consumption and its effect on remaining range estimation of electric vehicles | |
CN206974675U (en) | New-energy automobile heat management system develops match test platform | |
König et al. | An open-source modular quasi-static longitudinal simulation for full electric vehicles | |
Kim et al. | Control analysis and thermal model development for plug-in hybrid electric vehicles | |
Broatch et al. | Numerical assessment of integrated thermal management systems in electrified powertrains | |
CN106940430A (en) | Battery bag analog simulation operating mode heat analysis method and system | |
Zacharof et al. | The impact of bus passenger occupancy, heating ventilation and air conditioning systems on energy consumption and CO2 emissions | |
CN117117397A (en) | Battery thermal management simulation method, device, system and storage medium | |
van Kampen et al. | Optimal endurance race strategies for a fully electric race car under thermal constraints | |
Dickinson et al. | Range extender vehicle concept based on high temperature polymer electrolyte membrane fuel cell | |
CN109583127A (en) | Whole vehicle electric balance simulation test method | |
Chakraborty et al. | Parameterized cloud-connected electro-thermal modelling of a battery electric vehicle |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170908 |