CN112060964A - Battery heating strategy optimization method based on charging capacity of battery and charging pile - Google Patents

Battery heating strategy optimization method based on charging capacity of battery and charging pile Download PDF

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Publication number
CN112060964A
CN112060964A CN202010829132.0A CN202010829132A CN112060964A CN 112060964 A CN112060964 A CN 112060964A CN 202010829132 A CN202010829132 A CN 202010829132A CN 112060964 A CN112060964 A CN 112060964A
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China
Prior art keywords
charging
battery
current
power
acquiring
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CN202010829132.0A
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Chinese (zh)
Inventor
严国刚
张巍
李春
熊金峰
张建利
薛凯哲
朱恒
方兰兰
邱远红
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King Long United Automotive Industry Suzhou Co Ltd
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King Long United Automotive Industry Suzhou Co Ltd
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Priority to CN202010829132.0A priority Critical patent/CN112060964A/en
Priority to KR1020237009327A priority patent/KR20230051582A/en
Priority to PCT/CN2020/121185 priority patent/WO2022036830A1/en
Publication of CN112060964A publication Critical patent/CN112060964A/en
Pending legal-status Critical Current

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/30—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling fuel cells
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
    • B60L3/0053—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to fuel cells
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • B60L3/12—Recording operating variables ; Monitoring of operating variables
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
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    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
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    • B—PERFORMING OPERATIONS; TRANSPORTING
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    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/80—Exchanging energy storage elements, e.g. removable batteries
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
    • G01R19/16528—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values using digital techniques or performing arithmetic operations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
    • G01R19/16533—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application
    • G01R19/16538—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application in AC or DC supplies
    • G01R19/16542—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application in AC or DC supplies for batteries
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
    • G01R19/16566—Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533
    • G01R19/16571—Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533 comparing AC or DC current with one threshold, e.g. load current, over-current, surge current or fault current
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/60—Heating or cooling; Temperature control
    • H01M10/61—Types of temperature control
    • H01M10/615—Heating or keeping warm
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/60—Heating or cooling; Temperature control
    • H01M10/62—Heating or cooling; Temperature control specially adapted for specific applications
    • H01M10/625—Vehicles
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/60—Heating or cooling; Temperature control
    • H01M10/63—Control systems
    • H01M10/633—Control systems characterised by algorithms, flow charts, software details or the like
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M8/00—Fuel cells; Manufacture thereof
    • H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
    • H01M8/04298—Processes for controlling fuel cells or fuel cell systems
    • H01M8/04313—Processes for controlling fuel cells or fuel cell systems characterised by the detection or assessment of variables; characterised by the detection or assessment of failure or abnormal function
    • H01M8/04537—Electric variables
    • H01M8/04574—Current
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
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    • H01M8/04298—Processes for controlling fuel cells or fuel cell systems
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    • H01M8/04604—Power, energy, capacity or load
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
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    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract

The invention discloses a battery heating strategy optimization method based on the charging capacity of a battery and a charging pile, which comprises the following steps: when a charging gun of the charging pile is connected with the power battery system, acquiring output current I2 of the charging pile; acquiring the temperature and the SOC value of the power battery in real time, and inquiring a direct current charging rate table to obtain the maximum allowable charging current value I1 of the power battery; comparing the I2 with the I1, and if the I2 is greater than or equal to the I1, inquiring a direct current charging power rate table to take the lowest temperature corresponding to the maximum allowable charging current of the power battery as a battery heating target temperature; if I2 is smaller than I1, inquiring the direct current charging power table and taking the lowest temperature corresponding to I2 as the battery heating target temperature. The invention can continuously charge at low current, and can play the effects of reducing consumption and preserving heat because the battery heats in the charging process, thereby optimizing the heating strategy of the battery, achieving the purposes of reducing energy consumption and saving resource allocation, and being particularly suitable for the night charging scene in cold regions.

Description

Battery heating strategy optimization method based on charging capacity of battery and charging pile
Technical Field
The invention belongs to the field of electric vehicle power battery management, and particularly relates to a battery heating strategy optimization method based on charging capacity of a battery and a charging pile.
Background
When the new energy vehicle is charged at different temperatures, the corresponding direct current charging rate table needs to be inquired according to the current SOC and the temperature value to obtain the charging current allowed to be accepted by the current battery. The current of filling electric pile output can respond to the charging current of battery demand under general condition, but because fill electric pile product in the market and differ, especially more early fill electric pile, the charging capacity is weaker, and the output current ratio that provides is lower, can't reach the demand of battery.
Because the batteries need different currents at different temperatures, when the temperature of the batteries is lower, the current which can be received by the batteries is lower, and the charging speed is correspondingly reduced. In order to achieve a better charging environment, the battery needs to heat itself to increase the demand capacity. For most heating strategies, it is common to set an optimum temperature for the battery, regardless of the power consumption of the process and the maximum capacity that the charging post can provide. When the output current of the charging pile can completely follow the battery request current, the battery is suitable for being rapidly heated to the maximum adaptive value so as to reach the maximum charging speed. However, if the output capacity of the charging pile is very weak and cannot meet the battery demand value, energy for heating the battery to a higher temperature is wasted. Alternatively, if the battery is not charging faster, it is likewise not necessary to heat the battery to the maximum acceptable temperature. The invention is achieved accordingly.
Disclosure of Invention
Aiming at the technical problems, the invention aims to provide a battery heating strategy optimization method based on the charging capacity of a battery and a charging pile.
The technical scheme of the invention is as follows:
a battery heating strategy optimization method based on charging capacity of a battery and a charging pile comprises the following steps:
s01: when a charging gun of the charging pile is connected with the power battery system, acquiring output current I2 of the charging pile;
s02: acquiring the temperature and the SOC value of the power battery in real time, and inquiring a direct current charging rate table to obtain the maximum allowable charging current value I1 of the power battery;
s03: comparing the output current I2 of the charging pile with the maximum allowable charging current I1 of the power battery, and if I2 is greater than or equal to I1, inquiring a direct-current charging power rate table to take the lowest temperature corresponding to the maximum allowable charging current of the power battery as a battery heating target temperature;
s04: if I2 is smaller than I1, inquiring the direct current charging power table and taking the lowest temperature corresponding to I2 as the battery heating target temperature.
In a preferred embodiment, before step S01, the method further includes:
and acquiring the vehicle network time, if the charging time is greater than a first threshold value, judging that the vehicle is charged at night, and if not, executing the step S01.
In a preferred technical scheme, when the charging at night is judged, the battery management system detects the lowest temperature T of the battery in the power battery system, if the T is smaller than a second threshold value, the charging at a cold region at night is judged, and the following steps are executed:
s11: acquiring a charging required time length h and a required charging capacity C, and acquiring a charging current I which is C/h, wherein the charging multiplying power of the battery required current I1 is I/nominal capacity C;
s12: and acquiring the SOC value, and checking a direct current charging power table according to min { I1, I2} to obtain the battery heating target temperature.
In a preferred technical solution, the method for calculating the charging demand time h in step S11 includes:
acquiring the time t1 for connecting a charging gun of the charging pile with the power battery system;
acquiring the driving time t2 of the second day through a travel schedule or historical data;
and h is calculated as t2-t 1.
The invention also discloses a battery heating strategy optimization system based on the charging capacity of the battery and the charging pile, which comprises the following steps:
fill electric pile's output current and acquire the module: when a charging gun of the charging pile is connected with the power battery system, acquiring output current I2 of the charging pile;
the battery maximum allowable charging current calculation module acquires the temperature and the SOC value of the power battery in real time, and queries the direct current charging rate table to obtain the maximum allowable charging current value I1 of the power battery;
the first processing operation module is used for comparing the output current I2 of the charging pile with the maximum allowable charging current I1 of the power battery, and if I2 is greater than or equal to I1, the direct-current charging power factor table is inquired, and the lowest temperature corresponding to the maximum allowable charging current of the power battery is used as the battery heating target temperature; if I2 is smaller than I1, inquiring the direct current charging power table and taking the lowest temperature corresponding to I2 as the battery heating target temperature.
In the preferred technical scheme, the system further comprises a first judging module for acquiring the vehicle network time, if the charging time is greater than a first threshold value, the charging is judged to be night charging, and if not, a first processing operation module is executed.
In a preferred technical scheme, the system further comprises a second processing operation module, when the charging at night is judged, the battery management system detects the lowest temperature T of the battery in the power battery system, if the T is smaller than a second threshold value, the charging at a cold region at night is judged, and the following steps are executed:
s11: acquiring a charging required time length h and a required charging capacity C, and acquiring a charging current I which is C/h, wherein the charging multiplying power of the battery required current I1 is I/nominal capacity C;
s12: and acquiring the SOC value, and checking a direct current charging power table according to min { I1, I2} to obtain the battery heating target temperature.
In a preferred technical solution, the method for calculating the charging demand time h in step S11 includes:
acquiring the time t1 for connecting a charging gun of the charging pile with the power battery system;
acquiring the driving time t2 of the second day through a travel schedule or historical data;
and h is calculated as t2-t 1.
Compared with the prior art, the invention has the beneficial effects that:
according to the method, based on the output capacity of the charging pile and the charging capacity of the battery, the current required by the battery is compared with the current capable of being output by the charging pile, the lower value of the current required by the battery and the lower value of the current required by the charging pile are taken to correspond to the temperature in the direct-current charging multiplying power table of the battery, the temperature is set as the target temperature for heating the battery, the battery is heated to the target temperature, and the low-current charging is continued.
Drawings
The invention is further described with reference to the following figures and examples:
FIG. 1 is a flow chart of a method for optimizing a battery heating strategy based on the charging capabilities of a battery and a charging pile according to the present invention;
fig. 2 is a flow chart of the optimization method including night charging in cold regions according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
A battery heating strategy optimization system based on battery and charging pile charging capacity comprises:
fill electric pile's output current and acquire the module: when a charging gun of the charging pile is connected with the power battery system, acquiring output current I2 of the charging pile; the charging gun can carry out information interaction when being connected with the power battery system, and information of both sides can be obtained.
The battery maximum allowable charging current calculation module acquires the temperature and the SOC value of the power battery in real time, and queries the direct current charging rate table to obtain the maximum allowable charging current value I1 of the power battery; the temperature and the SOC value of the power battery can be obtained through a battery management system BMS.
The first processing operation module is used for comparing the output current I2 of the charging pile with the maximum allowable charging current I1 of the power battery, and if I2 is greater than or equal to I1, the direct-current charging power factor table is inquired, and the lowest temperature corresponding to the maximum allowable charging current of the power battery is used as the battery heating target temperature; if I2 is smaller than I1, inquiring the direct current charging power table and taking the lowest temperature corresponding to I2 as the battery heating target temperature.
After the target temperature is obtained, the heating can be carried out by a power battery system, the power battery system can be a system disclosed in CN 110635183A, and the details of the invention are not repeated.
The first judgment module is used for acquiring the vehicle network time, judging that the vehicle is charged at night if the charging time is greater than a first threshold value, and otherwise, executing the first processing operation module. For example, time information of a GPRS module, a wireless communication module, etc. may be obtained to obtain network time.
And the second processing operation module is used for detecting the lowest temperature T of the battery in the power battery system when the battery management system judges that the battery is charged at night, judging that the battery is charged in a cold region at night if the T is less than a second threshold value, and executing the following steps:
s11: acquiring a charging required time length h and a required charging capacity C, and acquiring a charging current I which is C/h, wherein the charging multiplying power of the battery required current I1 is I/nominal capacity C; the method for calculating the charging demand time h comprises the following steps:
acquiring the time t1 for connecting a charging gun of the charging pile with the power battery system;
acquiring the driving time t2 of the second day through a travel schedule or historical data;
and h is calculated as t2-t 1.
S12: and acquiring the SOC value, and checking a direct current charging power table according to min { I1, I2} to obtain the battery heating target temperature.
As shown in fig. 1, a method for optimizing a battery heating strategy based on charging capabilities of a battery and a charging pile includes the following steps:
s01: when a charging gun of the charging pile is connected with the power battery system, acquiring output current I2 of the charging pile;
s02: acquiring the temperature and the SOC value of the power battery in real time, and inquiring a direct current charging rate table to obtain the maximum allowable charging current value I1 of the power battery;
s03: comparing the output current I2 of the charging pile with the maximum allowable charging current I1 of the power battery, and if I2 is greater than or equal to I1, inquiring a direct-current charging power rate table to take the lowest temperature corresponding to the maximum allowable charging current of the power battery as a battery heating target temperature;
s04: if I2 is smaller than I1, inquiring the direct current charging power table and taking the lowest temperature corresponding to I2 as the battery heating target temperature.
When judging whether the night charging condition in the cold region is satisfied, as shown in fig. 2, the method comprises the following steps:
acquiring vehicle network time, if the charging time is greater than a first threshold value, judging that the vehicle is charged at night, otherwise, executing a step S01; the first threshold may be 20:00, and so on. When the battery management system judges that the battery is charged at night, the battery management system detects the lowest temperature T of the battery in the power battery system, if the T is smaller than a second threshold value, the battery management system judges that the battery is charged in a cold region at night, and the following steps are executed:
s11: acquiring a charging required time length h and a required charging capacity C, and acquiring a charging current I which is C/h, wherein the charging multiplying power of the battery required current I1 is I/nominal capacity C;
s12: and acquiring the SOC value, and checking a direct current charging power table according to min { I1, I2} to obtain the battery heating target temperature.
The second threshold may be 0 deg. and so on.
In the following, a dc charging rate table of a certain power battery is shown as follows:
Figure BDA0002637273730000051
example 1:
the method comprises the following steps: when the battery is charged, firstly, the charging capacity of a charging pile is obtained, and the output current capacity I2 is less than or equal to 0.5C;
step two: according to the temperature of the battery, when the temperature is minus 2 ℃ and the SOC is 50, checking a direct current charging power table to obtain an allowable current value I1 which can be accepted by the battery, wherein the allowable current value I1 is 0C, and the battery cannot be charged at the moment, because the temperature does not meet the charging condition, the heating target temperature of the battery needs to be set;
step three: because the output capacity of the charging pile is only 0.5C, the battery heating target temperature is set to be the corresponding lowest temperature under the capacity of 0.5C only by checking the direct-current charging power table, and the battery heating temperature is set to be 12 ℃ in the case. Since the charging post has reached the maximum output even if the battery temperature is heated to above 12 c, raising the target temperature again is merely a waste of energy consumption.
Step four: the whole charging process is a dynamic change process, if the output power of the charging pile is also changed, the target temperature is adjusted according to the fact that I1 and I2 are small and the SOC is referred to.
Example 2:
the method comprises the following steps: when the battery is charged, firstly, the charging capacity of the charging pile is obtained, and the output current capacity I2 is larger than 1C, which indicates that the charging pile can completely meet the requirement of the battery;
step two: because fill electric pile and can satisfy the battery demand, only need set up the demand temperature when the maximum operating capacity with battery target temperature this moment, set up to 20 ℃ in this embodiment, can satisfy the maximum receptivity of battery this moment.
Example 3:
and (4) charging at night, starting charging at 24:00 later, starting driving at 6:00 earlier the next day, wherein the SOC is 17, and the charging time is 6 h. The required capacity value C of the rechargeable battery at this time is 200Ah, and the nominal capacity C of the battery is 240 Ah.
The method comprises the following steps: when the battery is charged, firstly, the charging capacity of a charging pile is obtained, and the output current capacity I2 is 0.2C;
step two: the calculation result of the required charging rate of the battery is about C/h/C-200/6/240-0.14C;
step three: because battery demand charging current value 0.14C is less than charging pile output capacity 0.2C, consequently only need to get its decimal value according to both and carry out the table look-up, need set the target heating temperature of battery as 6 ℃ this moment, the charging process is influenced by the battery heat, and the battery temperature can rise slightly, and the charging speed will promote a little, and the charging process also plays the heat preservation effect night to reduce the heating energy consumption.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.

Claims (8)

1. A battery heating strategy optimization method based on charging capacity of a battery and a charging pile is characterized by comprising the following steps:
s01: when a charging gun of the charging pile is connected with the power battery system, acquiring output current I2 of the charging pile;
s02: acquiring the temperature and the SOC value of the power battery in real time, and inquiring a direct current charging rate table to obtain the maximum allowable charging current value I1 of the power battery;
s03: comparing the output current I2 of the charging pile with the maximum allowable charging current I1 of the power battery, and if I2 is greater than or equal to I1, inquiring a direct-current charging power rate table to take the lowest temperature corresponding to the maximum allowable charging current of the power battery as a battery heating target temperature;
s04: if I2 is smaller than I1, inquiring the direct current charging power table and taking the lowest temperature corresponding to I2 as the battery heating target temperature.
2. The method for optimizing a battery heating strategy based on the charging capability of a battery and a charging post according to claim 1, wherein the step S01 is preceded by the steps of:
and acquiring the vehicle network time, if the charging time is greater than a first threshold value, judging that the vehicle is charged at night, and if not, executing the step S01.
3. The method for optimizing the battery heating strategy based on the charging capability of the battery and the charging pile according to claim 2, wherein when the charging at night is determined, the battery management system detects the lowest temperature T of the battery in the power battery system, and if the T is less than a second threshold value, the charging at a cold night is determined, and the following steps are executed:
s11: acquiring the charging required time h and the required charging capacity C, and acquiring the charging current I = C/h, wherein the charging multiplying power of the battery required current I1 is I/nominal capacity C;
s12: and acquiring the SOC value, and checking a direct current charging power table according to min { I1, I2} to obtain the battery heating target temperature.
4. The method for optimizing the battery heating strategy based on the charging capability of the battery and the charging pile according to claim 1, wherein the method for calculating the charging demand time h in the step S11 comprises:
acquiring the time t1 for connecting a charging gun of the charging pile with the power battery system;
acquiring the driving time t2 of the second day through a travel schedule or historical data;
calculate h = t2-t 1.
5. A battery heating strategy optimization system based on battery and charging pile charging capacity is characterized by comprising:
fill electric pile's output current and acquire the module: when a charging gun of the charging pile is connected with the power battery system, acquiring output current I2 of the charging pile;
the battery maximum allowable charging current calculation module acquires the temperature and the SOC value of the power battery in real time, and queries the direct current charging rate table to obtain the maximum allowable charging current value I1 of the power battery;
the first processing operation module is used for comparing the output current I2 of the charging pile with the maximum allowable charging current I1 of the power battery, and if I2 is greater than or equal to I1, the direct-current charging power factor table is inquired, and the lowest temperature corresponding to the maximum allowable charging current of the power battery is used as the battery heating target temperature; if I2 is smaller than I1, inquiring the direct current charging power table and taking the lowest temperature corresponding to I2 as the battery heating target temperature.
6. The system of claim 5, further comprising a first determining module configured to obtain vehicle network time, determine that the vehicle is charged at night if the charging time is greater than a first threshold, and execute the first processing and calculating module if the charging time is not greater than the first threshold.
7. The system of claim 6, further comprising a second processing and operating module, wherein when the system determines that the charging is performed at night, the battery management system detects the lowest temperature T of the battery in the power battery system, and if T is less than a second threshold, the system determines that the charging is performed in a cold region at night, and the following steps are performed:
s11: acquiring the charging required time h and the required charging capacity C, and acquiring the charging current I = C/h, wherein the charging multiplying power of the battery required current I1 is I/nominal capacity C;
s12: and acquiring the SOC value, and checking a direct current charging power table according to min { I1, I2} to obtain the battery heating target temperature.
8. The system of claim 5, wherein the method for calculating the charging demand time h in step S11 comprises:
acquiring the time t1 for connecting a charging gun of the charging pile with the power battery system;
acquiring the driving time t2 of the second day through a travel schedule or historical data;
calculate h = t2-t 1.
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