CN116087798B - Power battery detection method - Google Patents

Power battery detection method Download PDF

Info

Publication number
CN116087798B
CN116087798B CN202310342516.3A CN202310342516A CN116087798B CN 116087798 B CN116087798 B CN 116087798B CN 202310342516 A CN202310342516 A CN 202310342516A CN 116087798 B CN116087798 B CN 116087798B
Authority
CN
China
Prior art keywords
temperature
power battery
power
data processing
processing unit
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202310342516.3A
Other languages
Chinese (zh)
Other versions
CN116087798A (en
Inventor
吴德
李磊
谭周禄
周生磊
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhongbei Runliang New Energy Jining Co ltd
Original Assignee
Zhongbei Runliang New Energy Jining Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhongbei Runliang New Energy Jining Co ltd filed Critical Zhongbei Runliang New Energy Jining Co ltd
Priority to CN202310342516.3A priority Critical patent/CN116087798B/en
Publication of CN116087798A publication Critical patent/CN116087798A/en
Application granted granted Critical
Publication of CN116087798B publication Critical patent/CN116087798B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/60Heating or cooling; Temperature control
    • H01M10/61Types of temperature control
    • H01M10/613Cooling or keeping cold
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/396Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/60Heating or cooling; Temperature control
    • H01M10/62Heating or cooling; Temperature control specially adapted for specific applications
    • H01M10/625Vehicles
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/60Heating or cooling; Temperature control
    • H01M10/63Control systems
    • H01M10/635Control systems based on ambient temperature

Landscapes

  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention relates to the field of power battery detection, in particular to a power battery detection method, which comprises the following steps: s1, judging the detection temperature of a discharge detection unit according to the influence air temperature of a target use area of a power battery; s2, performing discharge detection on the power battery and generating a power battery temperature change chart and a power consumption change chart according to the temperature data and the electric quantity data of the power battery recorded by monitoring; s3, selecting a plurality of to-be-measured points in a temperature change graph of the power battery, sequentially calculating the longitudinal coordinate difference value of each to-be-measured point, and judging an effective difference value and a temperature change effective point; s4, selecting and determining a primary closing temperature and a power adjusting point; s5, sequentially extracting the electric quantity of the power battery corresponding to each power adjustment point in the power consumption change graph from the positive direction of the axis of abscissa to determine the power adjustment coefficient of the cooling system corresponding to the power adjustment point, and transmitting the generated cooling strategy to the user side, thereby solving the problem of poor cooling efficiency of the thermal management system under the high-temperature condition of the power battery.

Description

Power battery detection method
Technical Field
The invention relates to the field of power battery detection, in particular to a power battery detection method.
Background
The power battery is a power source for providing power for tools, and is a storage battery for providing power for electric automobiles, electric trains, electric bicycles and golf carts. The comprehensive advantages of liquid cooling are obvious from comprehensive comparison of cost, heat dissipation effect, processing technology, material selection and the like, and the liquid cooling method is widely applied to the field of electric automobiles. However, the detection technology of the power battery is not considered in combination with the detection of the power battery and the cooling system, so how to detect the relation between the battery power of the power battery and the power of the cooling system under the high temperature condition and generate a better cooling strategy is a problem to be solved urgently.
Chinese patent publication No. CN111366854a discloses a testing method and device for a testing platform of a fuel cell power system, which comprises: extracting power consumption data of a hydrogen fuel cell automobile running for a long time under actual road conditions, and building a power consumption data model according to the existing test model; performing data fitting on the electric energy consumption data and the electric energy consumption data model to obtain the equal-proportion test duration required by the hydrogen fuel cell automobile under each test model; building a power system test platform device based on a hydrogen fuel cell electric hybrid power system; chinese patent publication No. CN113552485a discloses a new energy automobile thermal management function test system and method, comprising arranging the whole automobile on a hub rack for running, and performing fault injection and IO signal modeling on the thermal management system by using a HIL control cabinet; the working load of the driving motor, the engine and the power battery is adjusted by the rotating hub rack. The HIL control cabinet operates the running gear, the speed, the accelerator and the brake pedal depth of the vehicle rack; the control board card simulates a thermal management IO signal; adjusting the gear of the vehicle-mounted air conditioner, cooling/heating the battery, cooling/heating the engine, and cooling/heating the driving motor; controlling a charging/discharging load to charge/discharge the vehicle; analyzing the data collected by the test, and verifying the influences of the heat management function and the sensor faults of the whole vehicle. It can be seen from this: the above technical solution does not consider the influence of electric energy and the cooling system on the temperature of the power battery, resulting in poor feasibility of the working parameters of the power battery cooling system and low efficiency of the power battery cooling system.
Disclosure of Invention
Therefore, the invention provides a power battery detection method which is used for solving the problem that the cooling strategy efficiency of a thermal management system is poor under the high-temperature condition of a cooling system of a power battery in the prior art.
In order to achieve the above object, the present invention provides a power battery detection method, including:
s1, inputting the influence air temperature of a target use area of a power battery and judging the detection temperature of a discharge detection unit according to the comparison result of the influence air temperature and a preset temperature standard;
s2, the data processing unit controls the discharge detection unit to perform one-time discharge detection on the power battery, monitors and records the temperature and the electric quantity of the power battery in the discharge process, and controls the image generation unit to generate a power battery temperature change map and a power consumption change map according to the temperature data and the electric quantity data of the power battery monitored and recorded in the discharge detection process;
s3, selecting a plurality of to-be-measured points in a temperature change chart of the power battery in a preset selection mode;
s4, the data processing unit sequentially calculates the difference value of the vertical coordinates of each to-be-measured point and compares the difference value with a preset difference value of the vertical coordinates to judge whether the difference value of the vertical coordinates is an effective difference value, and when the number of the effective difference values accords with a preset threshold value, the to-be-measured point corresponding to the effective difference value is determined to be a temperature change effective point;
S5, selecting the temperature corresponding to the temperature change effective point with the minimum ordinate temperature as the primary closing temperature of the power battery cooling system, and marking the temperature change effective points except the temperature change effective point corresponding to the primary closing temperature as power adjustment points;
s6, sequentially extracting the power battery electric quantity corresponding to each power regulation point in the power consumption change graph from the positive direction of the axis of abscissa and comparing the power battery electric quantity with the preset power consumption to determine a cooling system power regulation coefficient corresponding to the power regulation point;
s7, transmitting the generated cooling strategy to the user side through the display unit.
Further, the discharge detection unit comprises an electric quantity monitoring module for monitoring the electric quantity of the battery in the discharge detection process of the power battery and a temperature detection module for detecting the temperature of the power battery in the discharge detection process of the power battery;
the image generation unit is connected with the discharge detection unit and is used for receiving and recording the temperature information and the electric quantity information of the power battery transmitted by the temperature detection module and the electric quantity monitoring module, and respectively generating a power consumption change relation graph of the electric quantity and discharge detection time change relation of the reaction power battery and a temperature change relation graph of the temperature and discharge detection time change relation of the reaction power battery;
A data processing unit connected to the discharge detection unit and the image generation unit;
the temperature detection module comprises a shell, a plurality of annular electronic sliding grooves are formed in the inner wall of the shell, and each electronic sliding groove is correspondingly provided with a temperature sensor for detecting the temperature of the power battery.
Further, the data processing unit extracts the influence air temperature T of the target use area of the power battery stored in the storage module under the first detection condition and compares T with a preset temperature standard to judge the detection temperature of the discharge detection unit when the discharge detection is carried out on the power battery, and setsWherein Tu is the maximum air temperature of the target use area in which the u th day is greater than the preset air temperature throughout the year, u=1, 2,3, … …, umax, umax is the number of days of the target use area in which the u th day is greater than the maximum air temperature of the preset air temperature throughout the year, the data processing unit is provided with a first preset temperature standard T1, a second preset temperature standard T2 and a preset air temperature Tmax, wherein 0 < T1 < T2,0 < Tmax,
if T is more than 0 and less than or equal to T1, the data processing unit judges that the detection temperature of the discharge detection unit is Tz, and Tz=T0 is set, wherein T0 is a preset standard detection temperature, and T0 is more than 0;
If T1 is less than or equal to T2, the data processing unit judges that the detection temperature of the discharge detection unit is Tz, and Tz=T0×α1 is set;
if T2 is less than T, the data processing unit determines that the detected temperature of the discharge detecting unit is Tz, and sets tz=t0×α2;
wherein, α1 is a first temperature adjustment coefficient, α2 is a second temperature adjustment coefficient, wherein, 1 < α1 < α2, the first detection condition is that the power battery to be detected is arranged in the discharge detection unit and the discharge detection unit is electrified and started.
Further, the data processing unit adjusts the temperature of the discharge detection unit to Tz under a second detection condition, controls the discharge detection unit to perform one-time discharge detection on the power battery, monitors and records the temperature and the electric quantity of the power battery in the discharge process, wherein the discharge power of the power battery is set to be first discharge power, the data processing unit controls the image generation unit to generate a power battery temperature change graph and a power consumption change graph according to the temperature data and the electric quantity data of the power battery monitored and recorded in the discharge detection process when the discharge detection is completed, wherein the temperature change graph is a first functional relation curve of the discharge detection time of the power battery and the temperature of the power battery in the discharge detection process, the first functional relation curve is in a coordinate system form, the abscissa variable is the discharge detection time t, the ordinate variable is the temperature of the power battery, the power consumption change graph is in a second functional relation curve of the discharge detection time of the power battery and the electric quantity of the power battery in the discharge detection process, the second functional relation curve is in a coordinate system form, and the abscissa variable is the discharge detection time t, and the ordinate variable is the electric quantity Q of the power battery;
The second detection condition is that the data processing unit is used for judging the temperature of the power battery detection environment.
Further, the data processing unit selects a plurality of to-be-measured points in the temperature change graph of the power battery in a preset selection mode under the first analysis condition, and the data processing unit sequentially calculates a longitudinal coordinate difference value delta H of the ith to-be-measured point i And will be DeltaH i Comparing with a preset difference value of the vertical coordinate to judge whether the difference value of the vertical coordinate is a valid difference value, setting delta H i =(H i+1 -H i ) Wherein H is i For the temperature value of the ordinate of the ith point to be measured, H i+1 For the (i+1) th ordinate temperature value of the to-be-measured points, i=1, 2,3, … …, n, wherein n+1 is the total number of to-be-measured points, and the data processing unit is provided with a first preset effective difference valueΔH20, wherein 0 < ΔH20,
if delta H i The delta H0 is not more than or equal to the delta H0, and the data processing unit judges that the difference value of the vertical coordinate is not a valid difference value;
if DeltaH 0 < DeltaH i The data processing unit judges the difference value of the vertical coordinate as an effective difference value;
the preset selection mode is that the data processing unit starts from a horizontal axis discharge detection time t=0 for a temperature change chart, a coordinate point corresponding to the starting time of each selection period on a functional relation curve is used as a to-be-measured point, the selection period is r, r=1000 s is set, and the first analysis condition is that the image generating unit finishes generating the temperature change chart for the power battery.
Further, the data processing unit counts the number N of the effective differences in all the longitudinal coordinate differences under the second analysis condition and compares the number N with the preset effective differences to judge whether to adjust the selected period r, the data processing unit is provided with a first preset period adjustment coefficient beta 1 and a second preset period adjustment coefficient beta 2, wherein, 0 < beta 1 < beta 2 < 1,
if n=0, the data processing unit determines to adjust the selection period r to r 'using β1, and sets r' =r×β1;
if n=1, the data processing unit determines to adjust the selection period r to r 'using β2, and sets r' =r×β2;
if N is more than 1, the data processing unit judges that the selection period r does not need to be adjusted, and calculates the effective intermediate value H of each effective difference value i ' and combining the abscissa on the functional relationship curve with H i The point to be measured with the nearest abscissa distance is marked as the effective point of temperature change, and H is set i ’=(H i+1 -H i )/2;
And the second analysis condition is that the data processing unit completes the judgment of whether each longitudinal coordinate difference value is a valid difference value.
Further, the data processing unit extracts the temperature change effective point with the minimum corresponding ordinate temperature in the temperature change effective points under the third analysis condition to be marked as Pmin, the data processing unit marks the ordinate temperature value Hmin corresponding to the Pmin as the primary closing temperature of the power battery cooling system and compares the Hmin with Tz to judge the primary closing time length of the power battery cooling system, the data processing unit is provided with a first preset time length adjustment coefficient theta 1, a second time length adjustment coefficient theta 2 and a third preset time length adjustment coefficient theta 3, wherein, 0 < theta 3 < theta 2 < theta 1 < 2,
If Hmin is less than or equal to 0.8Tz, the data processing unit judges that the primary closing time length of the power battery cooling system is tg, and tg=tg0×Hmin/H20×θ1 is set;
if Hmin is more than 0.8Tz and less than or equal to 0.9Tz, the data processing unit judges that the primary closing time length of the power battery cooling system is tg, and tg=tg0xHmin/H2xtheta 2 is set;
if the Tz is less than Hmin and is 0.9Tz, the data processing unit judges that the primary closing time length of the power battery cooling system is tg, and tg=tg0×Hmin/H20×θ3 is set;
wherein tg0 is a preset closing time base value, H0 is a preset closing temperature, 0 < tg0,0 < H0, and the third analysis condition is that the data processing unit judges that N is more than 1.
Further, the data processing unit marks the effective points of temperature changes except Pmin as power adjustment points Pe under a third detection condition, and extracts the power battery electric quantity corresponding to the e-th power adjustment point Pe on a second relation curve in the power consumption change graph, e=1, 2,3, … … and emax, wherein emax=n-1, the data processing unit marks the power battery temperature corresponding to P1 as a primary starting temperature of the power battery cooling system, and the data processing unit calculates the power consumption difference delta Q of the e-th power adjustment point except P1 respectively e Setting DeltaQ e =Q e -Q e-1 E=2, 3, … …, emax-1, the data processing unit adjusts Δq of the e-th power adjustment point e Comparing with a preset power consumption difference standard to determine a cooling system power adjustment coefficient corresponding to the e-th power adjustment point, wherein the data processing unit is provided with a first preset power consumption difference DeltaQ 01, a second preset power consumption difference DeltaQ 02, a first power determination coefficient Delta1 and a second powerDetermining a coefficient delta 2, wherein 0 < [ delta ] Q01 < [ delta ] Q02,0 < delta 2 < delta 1,
if DeltaQ e The discharge detection unit judges the power adjustment coefficient of the compressor to be zeta and sets zeta=zeta 0-deltaQ less than or equal to deltaQ 01 e ×δ1;
If DeltaQ 01 < DeltaQ e The discharge detection unit judges the power adjustment coefficient of the compressor to be zeta and sets zeta=zeta 0-deltaQ less than or equal to deltaQ 02 e ×δ2;
If DeltaQ 02 < DeltaQ e The discharge detection unit judges that the power adjustment point is a power adjustment stopping point and does not need to adjust the power adjustment coefficient of the compressor;
and P1 is a recovery start point of the cooling system, ζ0 is a preset power adjustment base value, ζ0 is more than 0, and the third detection condition is that the primary closing time of the cooling system of the power battery is judged to be finished.
Further, the cooling strategy generated by the data processing unit includes: when the initial temperature of the power battery is Tz plus or minus 5 degrees and the temperature of the warm power battery in the working process of the power battery is Hmin, closing the cooling system, restarting the cooling system when the temperature of the power battery reaches the temperature corresponding to a recovery start point P1 of the cooling system, and using zeta to adjust the power of a compressor of the cooling system to be C every time the temperature of the battery reaches the temperature of a power adjustment point after restarting the cooling system, wherein C=C0×zeta is set, wherein C0 is the initial compressor power, and 0 is less than C0;
And if the temperature of the battery does not reach the temperature of the power adjustment point within the preset monitoring time after the cooling system is restarted, starting an indirect starting strategy of the cooling system.
Further, the indirect opening strategy is that the cooling system is turned to an off state every B seconds of operation, and is turned to an on state again when the duration of the off state reaches B seconds, wherein B is greater than 0 and B is greater than 0.
Compared with the prior art, the invention has the beneficial effects that the power consumption change relation diagram of the electric quantity and the discharge detection time change relation of the reaction power battery and the temperature change relation diagram of the temperature and the discharge detection time change relation of the reaction power battery are generated by carrying out discharge detection on the power battery, the power consumption of the power battery and the power battery temperature are combined, the once-off temperature of a cooling system of the power battery is determined, the once-off time length of the cooling system is longer, the cooling system is restored to an on point and the power adjustment point of the cooling system, and compared with the prior art, the power battery of the same model adopts a uniform cooling strategy, the generated cooling strategy better accords with the actual working condition of the power battery, and the difference among batteries of the same model in the processing process is avoided.
Further, the temperature detection module comprises a shell, a plurality of annular electronic sliding grooves are formed in the inner wall of the shell, and each electronic sliding groove is correspondingly provided with a temperature sensor for detecting the temperature of the power battery, so that deviation of detected information caused by uneven temperature distribution of the power battery is avoided.
Further, the data processing unit extracts the influence air temperature T of the target use area of the power battery stored in the storage module under the first detection condition and compares the influence air temperature T with a preset temperature standard to judge the detection temperature of the discharge detection unit when the discharge detection is carried out on the power battery.
Further, the data processing unit counts the number N of the effective differences in all the longitudinal coordinate differences under the second analysis condition and compares N with the preset effective difference number to judge whether the selection period r is adjusted, so that information errors caused by overlarge selection range are avoided, and the accuracy of the method is improved.
Further, the data processing unit marks the ordinate temperature value Hmin corresponding to Pmin as the primary closing temperature of the power battery cooling system, and compares Hmin with Tz to judge the primary closing time length of the power battery cooling system, so that the cooling system is closed when the cooling effect of the power battery meets the standard, and the loss of the power battery is saved.
Further, the data processing unit adjusts the delta Q of the e-th power adjustment point e And comparing the power adjustment coefficient with a preset power consumption difference standard to determine a cooling system power adjustment coefficient corresponding to the e-th power adjustment point, so that the power of a compressor of the cooling system is not linearly changed according to the temperature, but the effective adjustment points are recorded according to different compressors, and the electric quantity of the power battery is saved.
Drawings
FIG. 1 is a schematic diagram of a method for detecting a power battery according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a power battery according to an embodiment of the invention when discharge detection is performed;
FIG. 3 is a graph showing the temperature change of the power battery when the temperature detected by the discharge detecting unit is 37.5 ℃ according to the embodiment of the invention;
fig. 4 is a graph showing a temperature change relationship of the power battery when the detected temperature of the discharge detecting unit is 20 ℃.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1 to 2, a power battery detection method is provided, which includes:
s1, inputting the influence air temperature of a target use area of a power battery and judging the detection temperature of a discharge detection unit according to the comparison result of the influence air temperature and a preset temperature standard;
S2, the data processing unit controls the discharge detection unit to perform one-time discharge detection on the power battery, monitors and records the temperature and the electric quantity of the power battery in the discharge process, and controls the image generation unit to generate a power battery temperature change map and a power consumption change map according to the temperature data and the electric quantity data of the power battery monitored and recorded in the discharge detection process;
s3, selecting a plurality of to-be-measured points in a temperature change graph of the power battery in a preset selection mode, sequentially calculating and comparing the longitudinal coordinate difference values of the to-be-measured points with preset longitudinal coordinate difference values by a data processing unit to judge whether the longitudinal coordinate difference values are effective difference values, and determining to-be-measured points corresponding to the effective difference values as effective points of temperature change when the number of the effective difference values accords with a preset threshold value;
s4, selecting the temperature corresponding to the temperature change effective point with the minimum ordinate temperature as the primary closing temperature of the power battery cooling system, and marking the temperature change effective points except the temperature change effective point corresponding to the primary closing temperature as power adjustment points;
and S5, sequentially extracting the power battery electric quantity corresponding to each power regulation point in the power consumption change graph from the positive direction of the axis of abscissa, comparing the power battery electric quantity with preset power consumption to determine a cooling system power regulation coefficient corresponding to the power regulation point, and transmitting the generated cooling strategy to a user side through a display unit.
Specifically, the discharge detection unit comprises an electric quantity monitoring module for monitoring the electric quantity of the battery in the discharge detection process of the power battery and a temperature detection module for detecting the temperature of the power battery in the discharge detection process of the power battery;
the image generation unit is connected with the discharge detection unit and is used for receiving and recording the temperature information and the electric quantity information of the power battery transmitted by the temperature detection module and the electric quantity monitoring module, and respectively generating a power consumption change relation graph of the electric quantity and discharge detection time change relation of the reaction power battery and a temperature change relation graph of the temperature and discharge detection time change relation of the reaction power battery;
a data processing unit connected to the discharge detection unit and the image generation unit;
the temperature detection module comprises a shell, a plurality of annular electronic sliding grooves are formed in the inner wall of the shell, and each electronic sliding groove is correspondingly provided with a temperature sensor for detecting the temperature of the power battery.
Specifically, the data processing unit extracts the temperature T of the target use area of the power battery under the first detection condition and compares T with a preset temperature standard to determine the detection temperature of the discharge detection unit when the discharge detection is performed for the power battery, and sets Wherein Tu is the highest air temperature of the target use area, u=1, 2,3, … …, umax, umax is the number of days of the target use area, u is the highest air temperature of the target use area, u is the first preset temperature standard T1, u is the second preset temperature standard T2, u is the preset air temperature Tmax, T1 = 25 ℃, T2 = 35 ℃, tmax = 20 ℃,
if T is more than 0 and less than or equal to T1, the data processing unit judges that the detection temperature of the discharge detection unit is Tz, and Tz=T0 is set, wherein T0 is a preset standard detection temperature, and T0=20 ℃;
if T1 is less than or equal to T2, the data processing unit judges that the detection temperature of the discharge detection unit is Tz, and Tz=T0×α1 is set;
if T2 is less than T, the data processing unit determines that the detected temperature of the discharge detecting unit is Tz, and sets tz=t0×α2;
wherein α1 is a first temperature adjustment coefficient, α2 is a second temperature adjustment coefficient, wherein α1=1.2, α2=1.5, and the first detection condition is that the power battery to be detected is placed in the discharge detection unit and the discharge detection unit is powered on.
Specifically, as a practical embodiment, the user can set the values of T1, T2, and Tmax through the display unit, but T1 should be a power battery operation suitable temperature, and T2 and Tmax should be temperatures that negatively affect the power battery operation.
Specifically, the data processing unit adjusts the temperature of the discharge detection unit to Tz under a second detection condition, controls the discharge detection unit to perform one-time discharge detection on the power battery, monitors and records the temperature and the electric quantity of the power battery in the discharge process, wherein the discharge power of the power battery is set to be first discharge power, the data processing unit controls the image generation unit to generate a power battery temperature change graph and a power consumption change graph according to the temperature data and the electric quantity data of the power battery monitored and recorded in the discharge detection process when the discharge detection is completed, wherein the temperature change graph is a first functional relation curve of the discharge detection time of the power battery and the temperature of the power battery in the discharge detection process, the first functional relation curve is in a coordinate system form, the abscissa variable is the discharge detection time t, the ordinate variable is the temperature of the power battery, the power consumption change graph is a second functional relation curve of the discharge detection time of the power battery and the electric quantity of the power battery in the discharge detection process, the abscissa variable is in a coordinate system form, and the ordinate variable is the electric quantity Q of the power battery;
The second detection condition is that the data processing unit is used for judging the temperature of the power battery detection environment.
In particular, the data processing unit is in a first analysisUnder the condition that a plurality of to-be-measured points in a temperature change graph of the power battery are selected in a preset selection mode, the data processing unit sequentially calculates a longitudinal coordinate difference value delta H of the i-th to-be-measured point i And will be DeltaH i Comparing with a preset difference value of the vertical coordinate to judge whether the difference value of the vertical coordinate is a valid difference value, setting delta H i =(H i+1 -H i ) Wherein H is i For the temperature value of the ordinate of the ith point to be measured, H i+1 For the i+1th ordinate temperature value of the points to be measured, i=1, 2,3, … …, n, where n+1 is the total number of points to be measured, the data processing unit is provided with a first preset effective difference Δh0, where Δh0=5 ℃,
if delta H i The delta H0 is not more than or equal to the delta H0, and the data processing unit judges that the difference value of the vertical coordinate is not a valid difference value;
if DeltaH 0 < DeltaH i The data processing unit judges the difference value of the vertical coordinate as an effective difference value;
the preset selection mode is that the data processing unit starts from a horizontal axis discharge detection time t=0 for a temperature change chart, a coordinate point corresponding to the starting time of each selection period on a functional relation curve is used as a to-be-measured point, the selection period is r, r=1000 s is set, and the first analysis condition is that the image generating unit finishes generating the temperature change chart for the power battery.
Specifically, the data processing unit counts the number N of effective differences in all the longitudinal coordinate differences under a second analysis condition and compares N with the preset effective difference number to judge whether to adjust the selected period r, the data processing unit is provided with a first preset period adjustment coefficient beta 1 and a second preset period adjustment coefficient beta 2, wherein beta 1 = 0.7, beta 2 = 0.8 < 1,
if n=0, the data processing unit determines to adjust the selection period r to r 'using β1, and sets r' =r×β1;
if n=1, the data processing unit determines to adjust the selection period r to r 'using β2, and sets r' =r×β2;
if N > 1, the data processing unit determines that the selected cycle is not neededThe period r is regulated, and the data processing unit calculates the effective intermediate value H of each effective difference value i ' and combining the abscissa on the functional relationship curve with H i The point to be measured with the nearest abscissa distance is marked as the effective point of temperature change, and H is set i ’=(H i+1 -H i )/2;
And the second analysis condition is that the data processing unit completes the judgment of whether each longitudinal coordinate difference value is a valid difference value.
Specifically, the data processing unit extracts the temperature change effective point with the smallest corresponding ordinate temperature in the temperature change effective points under the third analysis condition to be Pmin, the data processing unit marks the ordinate temperature value Hmin corresponding to the Pmin as the primary closing temperature of the power battery cooling system and compares the Hmin with Tz to judge the primary closing time length of the power battery cooling system, the data processing unit is provided with a first preset time length adjustment coefficient theta 1, a second time length adjustment coefficient theta 2 and a third preset time length adjustment coefficient theta 3, wherein, theta3=0.8, theta2=1, theta1=1.2,
If Hmin is less than or equal to 0.8Tz, the data processing unit judges that the primary closing time length of the power battery cooling system is tg, and tg=tg0xθ1 is set;
if Hmin is more than 0.8Tz and less than or equal to 0.9Tz, the data processing unit judges that the primary closing time length of the power battery cooling system is tg, and tg=tg0xθ2 is set;
if the Tz is less than Hmin, the data processing unit judges that the one-time closing time length of the power battery cooling system is tg, and tg=tg0xθ3 is set;
wherein tg0 is a preset closing time base value, tg0=5min, =30deg.C, and the third analysis condition is that the data processing unit determines that N is greater than 1.
The preset threshold value and the first preset duration adjustment coefficient θ1, the second duration adjustment coefficient θ2 and the third preset duration adjustment coefficient θ3 are obtained through multiple tests, and as an alternative implementation manner, a user can set the values of the first preset duration adjustment coefficient θ1, the second duration adjustment coefficient θ2 and the third preset duration adjustment coefficient θ3 through a display unit according to the requirement of the power battery, however, the condition that if Hmin is less than or equal to 0.8Tz, the primary closing duration is adjusted to be smaller, if 0.8Tz is less than or equal to 0.9Tz, the adjustment of the primary closing duration is not needed, and if 0.9Tz is less than Hmin, the primary closing duration is adjusted to be larger is satisfied.
Specifically, the data processing unit marks the effective points of temperature changes except Pmin as power adjustment points Pe under the third detection condition, and sequentially extracts the power battery electric quantity corresponding to the e-th power adjustment point Pe on a second relation curve in the power consumption change graph from the positive direction of the abscissa axis, wherein e=1, 2,3, … … and emax, emax=n-1, the data processing unit marks the temperature of the power battery corresponding to P1 as the primary starting temperature of the power battery cooling system, and the data processing unit calculates the power consumption difference delta Q of the e-th power adjustment point except P1 respectively e Setting DeltaQ e =Q e -Q e-1 E=2, 3, … …, emax-1, the data processing unit adjusts Δq of the e-th power adjustment point e Comparing with a preset power consumption difference standard to determine a cooling system power adjustment coefficient corresponding to the e-th power adjustment point, wherein the data processing unit is provided with a first preset power consumption difference DeltaQ 01, a second preset power consumption difference DeltaQ 02, a first power determination coefficient Delta1 and a second power determination coefficient Delta2, wherein DeltaQ01=15 kWh, deltaQ02=25 kWh, delta1=0.01, delta2=0.02,
if DeltaQ e The discharge detection unit judges that the power adjustment coefficient of the compressor is zeta and sets zeta=zeta 0-delta Qe multiplied by delta 1;
If DeltaQ 01 < DeltaQ e The discharge detection unit judges that the power adjustment coefficient of the compressor is zeta and sets zeta=zeta 0-delta Qe multiplied by delta 2;
if DeltaQ 02 < DeltaQ e The discharge detection unit judges that the power adjustment point is a power adjustment stopping point and does not need to adjust the power adjustment coefficient of the compressor;
and P1 is a recovery start point of the cooling system, ζ0 is a preset power adjustment base value, ζ0 is more than 0, and the third detection condition is that the primary closing time of the cooling system of the power battery is judged to be finished.
The values of δ1 and δ2 may be set by the user according to the endurance of the power battery as a standard, and δ1 and δ2 in the present embodiment are obtained from a plurality of test data, but are not limited to the provided values.
Specifically, the cooling strategy generated by the data processing unit includes: when the initial temperature of the power battery is Tz plus or minus 5 degrees and the temperature of the warm power battery in the working process of the power battery is Hmin, closing the cooling system, restarting the cooling system when the temperature of the power battery reaches the temperature corresponding to a recovery start point P1 of the cooling system, and using zeta to adjust the power of a compressor of the cooling system to be C every time the temperature of the battery reaches the temperature of a power adjustment point after restarting the cooling system, wherein C=C0×zeta is set, wherein C0 is the initial compressor power, and C0=50W;
And if the temperature of the battery does not reach the temperature of the power adjustment point within the preset monitoring time after the cooling system is restarted, starting an indirect starting strategy of the cooling system.
Specifically, the indirect opening strategy is that the cooling system is turned into an off state every B seconds, and turned into an on state again when the duration of the off state reaches B seconds, wherein B > 0, as an implementation manner, the values of B and B should be based on the duration of the use of the power battery, and the user can set the values of B and B through the display unit on the premise that the operation of the power battery is not affected and B > B.
Referring to fig. 3 to 4, in the present embodiment, the temperature of the power battery in the target usage area of the power battery t=40 ℃, where T2 < T, the data processing unit determines that the detected temperature of the discharge detecting unit is Tz, and sets tz=25×1.5=37.5 ℃, fig. 3 is a temperature change map of the power battery when the detected temperature of the discharge detecting unit is 37.5 ℃, the temperature change map of the power battery in the discharge detecting process is a first function relation curve of the discharge detecting time of the power battery and the temperature of the power battery in 37.5 ℃, the abscissa variable is the discharge detecting time T in seconds, the ordinate variable is the temperature of the power battery in degrees celsius, and in another embodiment, the temperature of the power battery in the target usage area of the power battery t=23 ℃, where 0 < T1, the data processing unit determines that the detected temperature of the discharge detecting unit is Tz, sets tz=t0=20 ℃, and fig. 4 is a temperature change map of the power battery in the discharge detecting unit when the detected temperature of the discharge detecting unit is 20 ℃, the temperature change map of the power battery in the discharge detecting unit is a second function of the temperature of the power battery in the discharge detecting unit, and the temperature change curve of the power battery in the abscissa variable is different from the temperature of the temperature in seconds.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (5)

1. A power battery detection method, characterized by comprising:
s1, inputting the influence air temperature of a target use area of a power battery and judging the detection temperature Tz of a discharge detection unit according to the comparison result of the influence air temperature and a preset temperature standard;
s2, the data processing unit controls the discharge detection unit to perform one-time discharge detection on the power battery, monitors and records the temperature and the electric quantity of the power battery in the discharge process, and controls the image generation unit to generate a power battery temperature change map and a power consumption change map according to the temperature data and the electric quantity data of the power battery monitored and recorded in the discharge detection process;
S3, selecting a plurality of to-be-measured points in a temperature change graph of the power battery in a preset selection mode, sequentially calculating and comparing the longitudinal coordinate difference values of the to-be-measured points with preset longitudinal coordinate difference values by a data processing unit to judge whether the longitudinal coordinate difference values are effective difference values, and determining to-be-measured points corresponding to the effective difference values as effective points of temperature change when the number of the effective difference values accords with a preset threshold value;
s4, selecting the temperature corresponding to the temperature change effective point with the minimum ordinate temperature as the primary closing temperature of the power battery cooling system, and marking the temperature change effective points except the temperature change effective point corresponding to the primary closing temperature as power adjustment points;
s5, sequentially extracting the power battery electric quantity corresponding to each power regulation point in the power consumption change graph from the positive direction of the axis of abscissa, comparing the power battery electric quantity with preset power consumption to determine a cooling system power regulation coefficient corresponding to the power regulation point, and transmitting the generated cooling strategy to a user side through a display unit;
the data processing unit selects a plurality of to-be-measured points in the temperature change graph of the power battery in a preset selection mode under a first analysis condition, and sequentially calculates a longitudinal coordinate difference value delta H of an ith to-be-measured point i And will be DeltaH i Comparing with a preset difference value of the vertical coordinate to judge whether the difference value of the vertical coordinate is a valid difference value, setting delta H i =(H i+1 -H i ) Wherein H is i For the temperature value of the ordinate of the ith point to be measured, H i+1 For the i+1th ordinate temperature value of the points to be measured, i=1, 2,3, … …, n, where n+1 is the total number of points to be measured, the data processing unit is provided with a first preset effective difference Δh0, where 0 < [ Δh0 ],
if delta H i The delta H0 is not more than or equal to the delta H0, and the data processing unit judges that the difference value of the vertical coordinate is not a valid difference value;
if DeltaH 0 < DeltaH i The data processing unit judgesDetermining the difference value of the vertical coordinate as an effective difference value;
the preset selection mode is that the data processing unit starts from a horizontal axis discharge detection time t=0 aiming at a temperature change graph, a coordinate point corresponding to the starting time of each selection period on a functional relation curve is used as a to-be-measured point, the selection period is r, r=1000 s is set, and the first analysis condition is that the image generating unit finishes generating the temperature change graph aiming at the power battery;
the data processing unit counts the number N of the effective differences in all the longitudinal coordinate differences under the second analysis condition and compares the number N with the preset effective difference number to judge whether to adjust the selected period r, the data processing unit is provided with a first preset period adjustment coefficient beta 1 and a second preset period adjustment coefficient beta 2, wherein, 0 < beta 1 < beta 2 < 1,
If n=0, the data processing unit determines to adjust the selection period r to r 'using β1, and sets r' =r×β1;
if n=1, the data processing unit determines to adjust the selection period r to r 'using β2, and sets r' =r×β2;
if N is more than 1, the data processing unit judges that the selection period r does not need to be adjusted, and calculates the effective intermediate value H of each effective difference value i ' and combining the abscissa on the functional relationship curve with H i The point to be measured with the nearest abscissa distance is marked as the effective point of temperature change, and H is set i ’=(H i+1 -H i )/2;
The second analysis condition is that the data processing unit completes the judgment of whether each longitudinal coordinate difference value is a valid difference value;
the data processing unit extracts the temperature change effective point with the minimum corresponding ordinate temperature in the temperature change effective points under the third analysis condition to be Pmin, the data processing unit marks the ordinate temperature value Hmin corresponding to the Pmin as the primary closing temperature of the power battery cooling system and compares the Hmin with Tz to judge the primary closing time length of the power battery cooling system, the data processing unit is provided with a first preset time length adjusting coefficient theta 1, a second time length adjusting coefficient theta 2 and a third preset time length adjusting coefficient theta 3, wherein, 0 < theta 3 < theta 2 < theta 1 < 2,
If Hmin is less than or equal to 0.8Tz, the data processing unit judges that the primary closing time length of the power battery cooling system is tg, and tg=tg0×Hmin/H20×θ1 is set;
if Hmin is more than 0.8Tz and less than or equal to 0.9Tz, the data processing unit judges that the primary closing time length of the power battery cooling system is tg, and tg=tg0xHmin/H2xtheta 2 is set;
if the Tz is less than Hmin and is 0.9Tz, the data processing unit judges that the primary closing time length of the power battery cooling system is tg, and tg=tg0×Hmin/H20×θ3 is set;
wherein tg0 is a preset one-time closing time period base value, H0 is a preset closing temperature, 0 is less than tg0,0 is less than H0, and the third analysis condition is that the data processing unit judges that N is more than 1;
the data processing unit marks the effective points of temperature change except Pmin as power adjustment points Pe under the third detection condition, sequentially extracts the power battery electric quantity corresponding to the e-th power adjustment point Pe on a second relation curve in the power consumption change graph from the positive direction of the abscissa axis, wherein e=1, 2,3, … … and emax, emax=N-1, the data processing unit marks the temperature of the power battery corresponding to P1 as the primary starting temperature of the power battery cooling system, and the data processing unit respectively calculates the power consumption difference DeltaQ of the e-th power adjustment point except P1 e Setting DeltaQ e =Q e -Q e-1 E=2, 3, … …, emax-1, the data processing unit adjusts Δq of the e-th power adjustment point e Comparing with a preset power consumption difference standard to determine a cooling system power adjustment coefficient corresponding to the e-th power adjustment point, wherein the data processing unit is provided with a first preset power consumption difference delta Q01, a second preset power consumption difference delta Q02, a first power determination coefficient delta 1 and a second power determination coefficient delta 2, wherein 0 < [ delta ] Q01 < [ delta ] Q02,0 < delta 2 < delta 1,
if DeltaQ e The discharge detection unit judges the power adjustment coefficient of the compressor to be zeta and sets zeta=zeta 0-deltaQ less than or equal to deltaQ 01 e ×δ1;
If DeltaQ 01 < DeltaQ e ≤△Q02, the discharge detection means determines that the compressor power adjustment coefficient is ζ, and sets ζ=ζ0- Δq e ×δ2;
If DeltaQ 02 < DeltaQ e The discharge detection unit judges that the power adjustment point is a power adjustment stopping point and does not need to adjust the power adjustment coefficient of the compressor;
wherein P1 is a recovery start point of the cooling system, ζ0 is a preset power adjustment base value, ζ0 is more than 0, and the third detection condition is that one-time closing time of the cooling system of the power battery is judged to be completed;
the cooling strategy generated by the data processing unit comprises the following steps: when the initial temperature of the power battery is Tz plus or minus 5 degrees and the temperature of the warm power battery in the working process of the power battery is Hmin, closing the cooling system, restarting the cooling system when the temperature of the power battery reaches the temperature corresponding to a recovery start point P1 of the cooling system, and using zeta to adjust the power of a compressor of the cooling system to be C every time the temperature of the battery reaches the temperature of a power adjustment point after restarting the cooling system, wherein C=C0×zeta is set, wherein C0 is the initial compressor power, and 0 is less than C0;
And if the temperature of the battery does not reach the temperature of the power adjustment point within the preset monitoring time after the cooling system is restarted, starting an indirect starting strategy of the cooling system.
2. The power battery detection method according to claim 1, wherein the discharge detection unit includes an electric quantity monitoring module for monitoring an electric quantity of the battery during discharge detection of the power battery and a temperature detection module for detecting a temperature of the power battery during discharge detection of the power battery;
the image generation unit is connected with the discharge detection unit and is used for receiving and recording the temperature information and the electric quantity information of the power battery transmitted by the temperature detection module and the electric quantity monitoring module, and respectively generating a power consumption change relation graph of the electric quantity and discharge detection time change relation of the reaction power battery and a temperature change relation graph of the temperature and discharge detection time change relation of the reaction power battery;
a data processing unit connected to the discharge detection unit and the image generation unit;
the temperature detection module comprises a shell, a plurality of annular electronic sliding grooves are formed in the inner wall of the shell, and each electronic sliding groove is correspondingly provided with a temperature sensor for detecting the temperature of the power battery.
3. The power battery detection method according to claim 2, wherein the data processing unit extracts an influence air temperature T of a target use region of the power battery under a first detection condition and compares T with a preset temperature standard to determine a detection temperature of a discharge detection unit at the time of discharge detection for the power battery, setsWherein Tu is the maximum air temperature of the target use area in which the u th day is greater than the preset air temperature throughout the year, u=1, 2,3, … …, umax, umax is the number of days of the target use area in which the u th day is greater than the maximum air temperature of the preset air temperature throughout the year, the data processing unit is provided with a first preset temperature standard T1, a second preset temperature standard T2 and a preset air temperature Tmax, wherein 0 < T1 < T2,0 < Tmax,
if T is more than 0 and less than or equal to T1, the data processing unit judges that the detection temperature of the discharge detection unit is Tz, and Tz=T0 is set, wherein T0 is a preset standard detection temperature, and T0 is more than 0;
if T1 is less than or equal to T2, the data processing unit judges that the detection temperature of the discharge detection unit is Tz, and Tz=T0×α1 is set;
if T2 is less than T, the data processing unit determines that the detected temperature of the discharge detecting unit is Tz, and sets tz=t0×α2;
Wherein, α1 is a first temperature adjustment coefficient, α2 is a second temperature adjustment coefficient, wherein, 1 < α1 < α2, the first detection condition is that the power battery to be detected is arranged in the discharge detection unit and the discharge detection unit is electrified and started.
4. The power battery detection method according to claim 3, wherein the data processing unit adjusts the temperature of the discharge detection unit to Tz under a second detection condition and controls the discharge detection unit to perform one-time discharge detection on the power battery and monitor and record the temperature and the electric quantity of the power battery in the discharge process, wherein the power battery discharge power is set to be a first discharge power, the data processing unit controls the image generation unit to generate a power battery temperature change graph and a power consumption change graph according to the temperature data and the electric quantity data of the power battery monitored and recorded in the discharge detection process when the discharge detection is completed, wherein the temperature change graph is a first functional relation curve of the discharge detection time of the power battery in the discharge detection process and the power battery temperature, the first functional relation curve is in a coordinate system form, the abscissa variable is the discharge detection time t, the ordinate variable is the power battery temperature, the second functional relation curve is in the coordinate system form, the abscissa variable is the discharge detection time t, and the ordinate variable is the electric quantity of the power battery;
The second detection condition is that the data processing unit is used for judging the temperature of the power battery detection environment.
5. The method of claim 4, wherein the indirect on strategy is to turn off every B seconds the cooling system is operated and to turn on again when the off duration reaches B seconds, where B > 0, B > 0.
CN202310342516.3A 2023-04-03 2023-04-03 Power battery detection method Active CN116087798B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310342516.3A CN116087798B (en) 2023-04-03 2023-04-03 Power battery detection method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310342516.3A CN116087798B (en) 2023-04-03 2023-04-03 Power battery detection method

Publications (2)

Publication Number Publication Date
CN116087798A CN116087798A (en) 2023-05-09
CN116087798B true CN116087798B (en) 2023-07-18

Family

ID=86210474

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310342516.3A Active CN116087798B (en) 2023-04-03 2023-04-03 Power battery detection method

Country Status (1)

Country Link
CN (1) CN116087798B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116995340B (en) * 2023-09-26 2023-12-15 北京电科汇能检测技术有限公司 Multipolar self-switching detection device and detection method for energy storage battery box
CN117465297A (en) * 2023-12-14 2024-01-30 嘉丰盛精密电子科技(孝感)有限公司 Intelligent cooling system based on electric automobile
CN117491054A (en) * 2023-12-18 2024-02-02 嘉丰盛精密电子科技(孝感)有限公司 Self-adaptive heat exchanger performance monitoring method and system

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114927803A (en) * 2022-05-27 2022-08-19 中国第一汽车股份有限公司 Battery temperature adjusting method and device, storage medium and vehicle
CN115503554A (en) * 2022-08-09 2022-12-23 岚图汽车科技有限公司 Electric vehicle intelligent battery thermal management control method and system

Family Cites Families (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5649918B2 (en) * 2010-11-15 2015-01-07 本田技研工業株式会社 Battery cooling system and cooling method
DE102013224076A1 (en) * 2013-11-26 2015-05-28 Siemens Aktiengesellschaft Method and apparatus for operating a battery cooling system for cooling a battery
JP6472579B2 (en) * 2016-07-01 2019-02-20 三菱電機株式会社 Storage battery cooling control device and storage battery cooling control method
JP2018107923A (en) * 2016-12-27 2018-07-05 ダイムラー・アクチェンゲゼルシャフトDaimler AG Battery cooling device
CN107293821B (en) * 2017-05-23 2020-12-01 北京新能源汽车股份有限公司 Power battery heat treatment method and device and electric automobile
CN109599632B (en) * 2017-09-30 2020-11-20 比亚迪股份有限公司 Temperature adjusting method and temperature adjusting system for vehicle-mounted battery
CN111251939B (en) * 2018-11-30 2022-04-15 比亚迪股份有限公司 Vehicle, reservation management system thereof, reservation system thereof, and reservation management method thereof
CN111509331B (en) * 2019-01-31 2021-07-06 北京新能源汽车股份有限公司 Control method and device for cooling power battery and electric vehicle
CN111791755B (en) * 2019-04-09 2024-02-13 微宏公司 Battery thermal management method
CN110137619B (en) * 2019-04-15 2021-12-24 华为数字能源技术有限公司 Energy storage device temperature control method and device
CN112455287A (en) * 2019-09-06 2021-03-09 比亚迪股份有限公司 Vehicle and cooling method and device of power battery of vehicle
CN112519635B (en) * 2019-09-17 2023-10-20 深圳市英维克科技股份有限公司 Control method and related device for battery thermal management
CN111460664B (en) * 2020-04-01 2022-03-18 吉林大学 Nonlinear cooling optimization method for new energy automobile power battery
WO2022094893A1 (en) * 2020-11-05 2022-05-12 江苏洋口港港务有限公司 Temperature management control system for power battery of electric vehicle
CN114590171B (en) * 2020-12-03 2023-09-08 观致汽车有限公司 Control method of thermal management system, thermal management system and vehicle
CN113410537B (en) * 2021-04-27 2022-08-19 浙江合众新能源汽车有限公司 Power battery charging thermal management control method and system
CN113851757B (en) * 2021-09-24 2023-08-08 经纬恒润(天津)研究开发有限公司 Power battery thermal management method and device
CN114628818A (en) * 2022-01-30 2022-06-14 南京理工大学 Battery pack heat dissipation method considering aging and inconsistency
CN114590169A (en) * 2022-02-23 2022-06-07 北京罗克维尔斯科技有限公司 Battery cooling method, device, electronic equipment and storage medium
CN114572058B (en) * 2022-03-09 2023-07-18 重庆金康赛力斯新能源汽车设计院有限公司 Method and device for controlling temperature of battery system and electronic equipment
CN114628805B (en) * 2022-03-28 2024-05-14 重庆金康赛力斯新能源汽车设计院有限公司 Battery cooling method, management system and vehicle-mounted terminal
CN114919466A (en) * 2022-06-07 2022-08-19 中国第一汽车股份有限公司 Thermal management control method and device, vehicle control unit and medium
CN115771432A (en) * 2022-12-02 2023-03-10 吉利汽车研究院(宁波)有限公司 Battery management control method, device, equipment, automobile and medium
CN115716431A (en) * 2022-12-28 2023-02-28 广州巨湾技研有限公司 Vehicle precooling heat management control method, system, medium and equipment and vehicle

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114927803A (en) * 2022-05-27 2022-08-19 中国第一汽车股份有限公司 Battery temperature adjusting method and device, storage medium and vehicle
CN115503554A (en) * 2022-08-09 2022-12-23 岚图汽车科技有限公司 Electric vehicle intelligent battery thermal management control method and system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
A novel direct liquid cooling strategy for electric vehicles focused on pouch type battery cells;Larranaga-Ezeiza.M 等;APPLIED THERMAL ENGINEERING;全文 *
全气候工况动力电池组热管理系统性能研究;孙一钊;中国优秀硕士学位论文全文数据库工程科技Ⅱ辑;全文 *

Also Published As

Publication number Publication date
CN116087798A (en) 2023-05-09

Similar Documents

Publication Publication Date Title
CN116087798B (en) Power battery detection method
CN108172930B (en) Battery pack cooling control method and device and battery pack
CN111055722B (en) Method, device and storage medium for estimating charging time
CN102195101B (en) Power battery management system and method thereof
CN102981122B (en) Method and system of electric automobile battery test
US10451684B2 (en) Battery pack
Panchal et al. Thermal management of lithium-ion pouch cell with indirect liquid cooling using dual cold plates approach
CN105958138B (en) Thermal management method of lithium battery management system
US20190212392A1 (en) Method of predicting time for charging battery of eco-friendly vehicle
US9415700B2 (en) Battery thermal system and diagnostic method
WO2007132729A1 (en) Battery device, vehicle having the same, and battery device failure judging method
Panchal et al. Measurement of temperature gradient (dT/dy) and temperature response (dT/dt) of a prismatic lithium-ion pouch cell with LiFePO 4 cathode material
CN110931896A (en) Lithium ion battery temperature management system
CN113029626B (en) Test method for pure electric vehicle air conditioner refrigeration performance rack
CN105307896A (en) Method for managing the temperature of a battery of an electric or hybrid vehicle
CN108417906B (en) Battery management system with intelligent thermal management system control function
US5711605A (en) Method and apparatus for predicting battery temperature
CN101707265A (en) Novel battery management system suitable for mixed power automobile
CN105826626A (en) Electric vehicle battery pack monitoring assembly and method
US20210101504A1 (en) Charging control apparatus, transport device, and non-temporary computer-readable storage medium
KR20220018136A (en) Method and apparatus for controlling battery cooling in environmental vehicle
CN106855610A (en) Lithium titanate battery health status estimating system and method
CN109752659A (en) The PACK test macro and method of liquid cooling battery
CN103972608A (en) Battery cooling device
CN213986650U (en) Thermal management performance evaluation testing device for power battery system

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
GR01 Patent grant
GR01 Patent grant