CN112319228B - New energy vehicle low-voltage power supply management implementation method and platform - Google Patents

New energy vehicle low-voltage power supply management implementation method and platform Download PDF

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CN112319228B
CN112319228B CN202011222750.5A CN202011222750A CN112319228B CN 112319228 B CN112319228 B CN 112319228B CN 202011222750 A CN202011222750 A CN 202011222750A CN 112319228 B CN112319228 B CN 112319228B
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soc
power battery
voltage power
battery
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CN112319228A (en
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何春芳
赵建华
王成
史婷婷
李东升
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Dongfeng Motor Corp
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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
    • B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • 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
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
    • 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries

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  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention discloses a new energy vehicle low-voltage power supply management implementation method and platform, and belongs to the technical field of vehicles. The method comprises the following steps: storing and analyzing data acquired from the feed monitoring system to obtain the parking time, the use time of the low-voltage storage battery, the feed times of the low-voltage storage battery in unit time, the SOC state of the high-voltage power battery, the voltage of the high-voltage power battery and the times of faults and alarms of the power system; determining whether SOC needs to be corrected according to the difference between the SOC state of the high-voltage power battery and the SOC value obtained by looking up a table of the battery voltage; and determining whether charging is needed or not according to the parking time, the service time of the low-voltage storage battery, the feeding times of the low-voltage storage battery in unit time, the SOC state of the high-voltage power battery and the times of faults and alarms of the power system. The invention effectively analyzes the vehicle condition by using the historical data, and more accurately solves the problem that the new energy vehicle can not be started after being parked for a long time.

Description

New energy vehicle low-voltage power supply management implementation method and platform
Technical Field
The invention belongs to the technical field of vehicles, and particularly relates to a low-voltage power management implementation method and platform for a new energy vehicle.
Background
Currently, the current research aiming at the lack of system for the low-voltage power demand of a new energy automobile generally follows the following mode: the vehicle is parked for too long a time in order to prevent the vehicle battery from feeding. And (4) regularly inquiring whether the low-voltage storage battery is low in voltage by using a low-voltage management system, and then judging whether the low-voltage storage battery needs to be charged.
The reference patent application CN110803025A discloses a low-voltage power management method and system, an electric vehicle and a storage medium, wherein the low-voltage power management method comprises: detecting that the whole electric vehicle enters a sleep mode, recording sleep time, and awakening a charging device at intervals of preset time; detecting the electric quantity of the low-voltage power supply, and controlling a charging device to charge the low-voltage power supply if the electric quantity of the low-voltage power supply is less than the preset electric quantity; and controlling the charging time of the charging device according to the running time of the electric vehicle. The low-voltage power supply management method and system and the electric vehicle can avoid the low-voltage from generating power shortage and improve the efficiency and the safety of charging the low-voltage power supply in the sleep mode. However, the voltage of the low-voltage storage battery is regularly detected according to the set time length of the T-BOX, the PT CAN is awakened when the low-voltage storage battery is fed, and the VCU controls the low-voltage storage battery to charge.
However, although this method can prevent the vehicle from being fed for a long time while parked, the data obtained by constant polling is always real-time data, which consumes the battery power. And for the state that the battery has too long service life and the voltage is no longer accurate, there is no way to control. And the problem that there is no way to effectively and efficiently charge the low-voltage battery is brought about.
Disclosure of Invention
Aiming at the defects or improvement requirements of the prior art, the invention provides a new energy vehicle low-voltage power management implementation method and platform, which utilize historical data of the new energy vehicle to effectively analyze vehicle conditions, and after a storage battery is calibrated, more accurately solve the problem that the new energy vehicle cannot be started after being parked for a long time.
In order to achieve the above object, according to an aspect of the present invention, there is provided a new energy vehicle low-voltage power management implementation method, including:
s1: storing and analyzing data acquired from the feed monitoring system to obtain the parking time, the use time of the low-voltage storage battery, the feed times of the low-voltage storage battery in unit time, the SOC state of the high-voltage power battery, the voltage of the high-voltage power battery and the times of faults and alarms of the power system;
s2: determining whether SOC needs to be corrected according to the difference between the SOC state of the high-voltage power battery and the SOC value obtained by table lookup of the voltage of the high-voltage power battery, and correcting the SOC value when the SOC needs to be corrected;
s3: and determining whether charging is needed or not according to the parking time, the service time of the low-voltage storage battery, the feeding times of the low-voltage storage battery in unit time, the SOC state of the high-voltage power battery and the times of faults and alarms of the power system.
In some alternative embodiments, step S2 includes:
s2.1: if the difference between the SOC state of the high-voltage power battery and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery is within a first preset range, the SOC does not need to be corrected;
s2.2: if the difference between the SOC state of the high-voltage power battery and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery is within a second preset range, correcting the SOC into the average value of the SOC state of the high-voltage power battery and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery;
s2.3: if the difference between the SOC state of the high-voltage power battery and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery is within a third preset range, correcting the SOC into the sum of the SOC state of a part of the high-voltage power battery and the SOC value obtained by looking up the table of the voltage of the part of the high-voltage power battery;
s2.4: if the difference between the SOC state of the high-voltage power battery and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery is in a fourth preset range, correcting the SOC by adopting the current SOC value obtained by the power consumption calculated by the integration of the discharge current of the power battery;
the first preset range, the second preset range, the third preset range and the fourth preset range are sequentially increased in size.
In some alternative embodiments, step S2.3 comprises:
and if the difference between the SOC state of the high-voltage power battery and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery is within a third preset range, correcting the SOC to be the sum of the SOC state of 1/3 high-voltage power battery and the SOC value obtained by looking up the table of the voltage of 2/3 high-voltage power battery.
In some alternative embodiments, correcting the SOC using the current SOC value calculated from the power consumption by integrating the discharge current of the power battery in step S2.4 includes:
calculating the current SOC value by using the power consumption calculated by integrating the discharge current of the high-voltage power battery;
and comparing the calculated current SOC value with an SOC value obtained by looking up the table of the voltage of the high-voltage power battery, if the difference between the current SOC value and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery is within a preset difference range, taking the average value of the current SOC value and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery as the SOC value, otherwise, judging whether the current sensor and the voltage sensor have problems, not sending a charging command, but storing the current error-free state in a big data system.
In some alternative embodiments, step S3 includes:
s3.1: calculating the product of the parking time, the service time of the low-voltage storage battery, the feeding times of the low-voltage storage battery in unit time, the SOC state of the high-voltage power battery and the times of power system faults and alarms;
s3.2: when the product size is within a first range, a charging command is not sent to the feed monitoring system;
s3.3: when the product size is in a second range, the voltage at two ends of the storage battery is combined for judgment, and when the voltage at two ends of the storage battery is lower than the charging range, a charging command is sent to the feed monitoring system, and the current product size is stored;
s3.4: when the magnitude of the product falls within the third range, a charge command is sent directly to the low-voltage battery.
According to another aspect of the present invention, a new energy vehicle low-voltage power management implementation platform is provided, including:
the storage analysis module is used for storing and analyzing the data acquired from the feed monitoring system to obtain the parking time, the use time of the low-voltage storage battery, the feed times of the low-voltage storage battery in unit time, the SOC state of the high-voltage power battery, the voltage of the high-voltage power battery and the times of faults and alarms of the power system;
the SOC correction module is used for determining whether SOC needs to be corrected according to the difference between the SOC state of the high-voltage power battery and the SOC value obtained by table lookup of the voltage of the high-voltage power battery, and correcting the SOC value when the SOC needs to be corrected;
and the charging judgment module is used for determining whether charging is needed according to the parking time, the service time of the low-voltage storage battery, the feeding times of the low-voltage storage battery in unit time, the SOC state of the high-voltage power battery and the times of faults and alarms of the power system.
In some optional embodiments, the SOC correction module comprises:
the first correction module is used for not correcting the SOC when the difference between the SOC state of the high-voltage power battery and the SOC value obtained by table look-up of the voltage of the high-voltage power battery is within a first preset range;
the second correction module is used for correcting the SOC into the average value of the SOC state of the high-voltage power battery and the SOC value obtained by table look-up of the voltage of the high-voltage power battery when the difference between the SOC state of the high-voltage power battery and the SOC value obtained by table look-up of the voltage of the high-voltage power battery is within a second preset range;
the third correction module is used for correcting the SOC into the sum of the SOC state of the partial high-voltage power battery and the SOC value obtained by table look-up of the voltage of the partial high-voltage power battery when the difference between the SOC state of the high-voltage power battery and the SOC value obtained by table look-up of the voltage of the high-voltage power battery is within a third preset range;
the fourth correction module is used for correcting the SOC by adopting the current SOC value obtained by the power consumption calculated by the integral of the discharge current of the power battery when the difference between the SOC state of the high-voltage power battery and the SOC value obtained by table look-up of the voltage of the high-voltage power battery is within a fourth preset range; the first preset range, the second preset range, the third preset range and the fourth preset range are sequentially increased in size.
In some optional embodiments, the third correcting module is configured to correct the SOC to be the sum of 1/3 SOC of the high-voltage power battery and 2/3 SOC of the high-voltage power battery when the difference between the SOC of the high-voltage power battery and the SOC of the high-voltage power battery obtained by looking up the table is within a third preset range.
In some optional embodiments, the fourth correction module is configured to calculate the current SOC value using the power consumption calculated by integrating the discharge current of the high-voltage power battery; and comparing the calculated current SOC value with an SOC value obtained by looking up the table of the voltage of the high-voltage power battery, if the difference between the current SOC value and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery is within a preset difference range, taking the average value of the current SOC value and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery as the SOC value, otherwise, judging whether the current sensor and the voltage sensor have problems, not sending a charging command, but storing the current error-free state in a big data system.
In some optional embodiments, the charge determination module includes:
the factor calculation module is used for calculating the product of the parking time, the service time of the low-voltage storage battery, the feeding times of the low-voltage storage battery in unit time, the SOC state of the high-voltage power battery and the times of power system faults and alarms;
the charging judgment submodule is used for not sending a charging command to the feed monitoring system when the product size is in a first range; when the product size is in a second range, the voltage at two ends of the storage battery is combined for judgment, and when the voltage at two ends of the storage battery is lower than the charging range, a charging command is sent to the feed monitoring system, and the current product size is stored; and when the product size falls within a third range, directly sending a charging command to the low-voltage storage battery, wherein the first range, the second range and the third range are sequentially increased.
In general, compared with the prior art, the above technical solution contemplated by the present invention can achieve the following beneficial effects:
the invention utilizes the historical data of the new energy vehicle to effectively analyze the vehicle condition, and after the storage battery is calibrated in the step S2, the problem that the new energy vehicle cannot be started after being parked for a long time is solved more accurately.
The invention not only solves the problem that the storage battery is charged due to overlong vehicle parking time, but also utilizes big data to fully judge whether the vehicle has a fault or not through the step S3 when the vehicle is parked for overlong time, and the low-voltage storage battery cannot be charged easily when the vehicle has the fault, so as to avoid other faults and loss.
Drawings
Fig. 1 is a flow chart of a conventional charging scheme provided by an embodiment of the present invention;
fig. 2 is a schematic connection diagram of a low-voltage power management implementation platform of a new energy vehicle according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a method for implementing low-voltage power management of a new energy vehicle according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
In the present examples, "first", "second", etc. are used for distinguishing different objects, and are not necessarily used for describing a particular order or sequence.
The following explains the terms of the present invention:
and (3) OBC: the OBC is a power electronic device for charging a vehicle-mounted power battery, and can safely and reliably complete charging management of the power battery.
VCU: new energy automobile vehicle control unit.
DCDC: DC/DC means a device for converting a DC power supply of a certain voltage class into a DC power supply of another voltage class.
As shown in fig. 1, the prior art disclosed technical solution: when the new energy vehicle is parked, the feed monitoring system can activate the network regularly to detect the voltage from the storage battery, and when the voltage of the storage battery is low, the feed monitoring system activates the OBC through the network to wake up the VCU through a hard line. When the VCU is awakened, the CAN command is sent to control the DCDC, and the high-voltage battery is used for charging the low-voltage storage battery. During this charging process, the feed monitoring system also communicates with the VCU, identifying the three most important control points for the entire charging process: whether charging is initiated, whether charging is in progress, whether the amount of power is sufficient to not be recharged.
As shown in fig. 2, on the basis of the prior art, a big data platform is added for executing the new energy vehicle low-voltage power management implementation method, data collected by the feed monitoring system from the entire vehicle CAN is stored and analyzed, the analysis result is sent to the feed monitoring system, and the feed monitoring system performs charging control of the low-voltage storage battery according to the analysis result of the big data platform.
Fig. 3 is a schematic flow chart of a method for managing and implementing a low-voltage power supply of a new energy vehicle according to an embodiment of the present invention, including the following steps:
s1: storing and analyzing data acquired from the feed monitoring system to obtain the parking time, the use time of the low-voltage storage battery, the feed times of the low-voltage storage battery in unit time, the SOC state of the high-voltage power battery, the voltage of the high-voltage power battery and the times of faults and alarms of the power system;
s2: determining whether SOC needs to be corrected according to the difference between the SOC state of the high-voltage power battery and the SOC value obtained by table lookup of the voltage of the high-voltage power battery, and correcting the SOC value when the SOC needs to be corrected;
s3: and determining whether charging is needed or not according to the parking time, the service time of the low-voltage storage battery, the feeding times of the low-voltage storage battery in unit time, the SOC state of the high-voltage power battery and the times of faults and alarms of the power system.
Specifically, as shown in fig. 2, the big data platform stores and analyzes class data before the vehicle is powered off, and the obtained data includes: the system comprises a parking time, a use time of a low-voltage storage battery, the feeding times of the low-voltage storage battery in unit time, the SOC state of a high-voltage power battery, the voltage of the high-voltage power battery and the times of power system faults and alarms.
In the examples of the present invention, the results of the analysis can be referred to the following tables.
TABLE 1
Figure BDA0002762631780000071
TABLE 2
Figure BDA0002762631780000081
TABLE 3
Figure BDA0002762631780000082
TABLE 4
Figure BDA0002762631780000083
TABLE 5
Figure BDA0002762631780000084
TABLE 6
Figure BDA0002762631780000085
Figure BDA0002762631780000091
In the embodiment of the invention, the specific control mode of the new energy vehicle low-voltage power supply management implementation method is as follows:
step 1: if the difference between the SOC state of the high-voltage power battery and the SOC value obtained by looking up a table (OCV-SOC relation table) of the voltage of the high-voltage power battery is F1, the SOC is not corrected;
step 2: calculation of factors: a, An, Bn, Cn, Dn and En, wherein An represents the parking time length, Bn represents the service time length of the low-voltage storage battery, Cn represents the feeding times of the low-voltage storage battery in unit time, Dn represents the SOC state of the high-voltage power battery, and En represents the times of faults and alarms of the power system;
and step 3: when the value of a is An, Bn, Cn, Dn and En is within the range of (a1, a2), no charging command is sent to the feeding monitoring system;
when the value of a is within the range of (a2, a3), the voltage at two ends of the storage battery is combined for judgment, when the voltage at two ends of the storage battery is low to the charging range, a charging command is sent to a feeding monitoring system, and the current value of a is stored in the step 4;
and 4, step 4: when the value of a is An, Bn, Cn, Dn and En is in the range of (a3, a4), directly sending a charging command to the low-voltage storage battery;
the sizes of a1, a2, a3 and a4 can be obtained by searching the tables according to actual needs.
And 5: if the difference between the SOC state of the high-voltage power battery and the SOC value obtained by table lookup of the voltages at the two ends of the high-voltage power battery is F2, correcting the SOC, and correcting the SOC into the average value of the SOC state of the high-voltage power battery and the SOC value obtained by table lookup of the voltages of the high-voltage power battery, and then executing the step 2 to the step 4;
step 6: if the difference between the SOC state of the high-voltage power battery and the SOC value obtained by table look-up of the voltage of the high-voltage power battery is F3, correcting the SOC to be the sum of the SOC state of the 1/3 high-voltage power battery and the SOC value obtained by table look-up of the voltage at two ends of the 2/3 high-voltage power battery, and then executing the step 2 to the step 4;
and 7: if the difference between the SOC state of the high-voltage power battery and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery is F4, correcting the SOC, wherein the correction is as follows: calculating the current SOC value by using the power consumption calculated by the integral of the discharge current of the high-voltage power battery, comparing the calculated current SOC value with the SOC value obtained by looking up a table of the voltage values at two ends of the high-voltage power battery, if the difference between the calculated current SOC value and the SOC value is within a preset difference range (such as 10 percent), adopting the average value of the calculated current SOC value and the SOC value, otherwise, judging whether the current sensor and the voltage sensor have problems, not sending a charging command, but storing the current error-free state in a big data system. After the later-stage manual judgment, a charging or supplementary power sequence is put in for future control.
The method utilizes the real-time data and the historical data of the new energy vehicle to analyze, firstly analyzes the battery state of the vehicle, and then charges the vehicle after the battery state needs to be calibrated. The historical data is utilized to analyze the vehicle state, and the low-voltage storage battery cannot be easily charged under the conditions of frequent high-voltage faults and battery current and voltage sensor faults, so that unnecessary faults and risks in an unmanned state are avoided. The invention also solves the problems that the vehicle is too long in parking time and the storage battery is charged in time after being low in voltage. But need not carry out real-time polling, and can be through historical data's rectifying, can carry out more accurate judgement to low pressure battery feed state, and can carry out more accurate judgement to the process that low pressure battery charges. Meanwhile, whether the vehicle is parked for a long time and has a fault or not is judged, and the low-voltage storage battery cannot be charged easily in an unmanned state, so that the fault or unnecessary loss is avoided.
The invention utilizes the advantages of the new energy vehicle with a high voltage source, changes the charging strategy and charges the storage battery, and the optimization can solve the problem that the new energy vehicle cannot be started due to the feeding of the low-voltage storage battery when being parked for a long time. But also solves the problem that the prior art needs to poll the state of the low-voltage storage battery and does not perform the inaccurate control state of charging control on the storage battery after calibration and processing.
It should be noted that, according to the implementation requirement, each step/component described in the present application can be divided into more steps/components, and two or more steps/components or partial operations of the steps/components can be combined into new steps/components to achieve the purpose of the present invention.
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (8)

1. The utility model provides a new forms of energy car low pressure power management implementation method which characterized in that includes:
s1: storing and analyzing data acquired from the feed monitoring system to obtain the parking time, the use time of the low-voltage storage battery, the feed times of the low-voltage storage battery in unit time, the SOC state of the high-voltage power battery, the voltage of the high-voltage power battery and the times of faults and alarms of the power system;
s2: determining whether SOC needs to be corrected according to the difference between the SOC state of the high-voltage power battery and the SOC value obtained by table lookup of the voltage of the high-voltage power battery, and correcting the SOC value when the SOC needs to be corrected;
s3: determining whether charging is needed or not according to the parking time, the use time of the low-voltage storage battery, the feeding times of the low-voltage storage battery in unit time, the SOC state of the high-voltage power battery and the times of faults and alarms of a power system;
wherein, step S2 includes:
s2.1: if the difference between the SOC state of the high-voltage power battery and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery is within a first preset range, the SOC does not need to be corrected;
s2.2: if the difference between the SOC state of the high-voltage power battery and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery is within a second preset range, correcting the SOC into the average value of the SOC state of the high-voltage power battery and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery;
s2.3: if the difference between the SOC state of the high-voltage power battery and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery is within a third preset range, correcting the SOC into the sum of the SOC state of a part of the high-voltage power battery and the SOC value obtained by looking up the table of the voltage of the part of the high-voltage power battery;
s2.4: if the difference between the SOC state of the high-voltage power battery and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery is in a fourth preset range, correcting the SOC by adopting the current SOC value obtained by the power consumption calculated by the integration of the discharge current of the power battery;
the first preset range, the second preset range, the third preset range and the fourth preset range are sequentially increased in size.
2. The method according to claim 1, characterized in that step S2.3 comprises:
and if the difference between the SOC state of the high-voltage power battery and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery is within a third preset range, correcting the SOC to be the sum of the SOC state of 1/3 high-voltage power battery and the SOC value obtained by looking up the table of the voltage of 2/3 high-voltage power battery.
3. The method of claim 1, wherein correcting the SOC with the current SOC value calculated from the power consumption by integration of the discharge current of the power cell in step S2.4 comprises:
calculating the current SOC value by using the power consumption calculated by integrating the discharge current of the high-voltage power battery;
and comparing the calculated current SOC value with an SOC value obtained by looking up the table of the voltage of the high-voltage power battery, if the difference between the current SOC value and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery is within a preset difference range, taking the average value of the current SOC value and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery as the SOC value, otherwise, judging whether the current sensor and the voltage sensor have problems, not sending a charging command, but storing the current error-free state in a big data system.
4. The method according to any one of claims 1 to 3, wherein step S3 includes:
s3.1: calculating the product of the parking time, the service time of the low-voltage storage battery, the feeding times of the low-voltage storage battery in unit time, the SOC state of the high-voltage power battery and the times of power system faults and alarms;
s3.2: when the product size is within a first range, a charging command is not sent to the feed monitoring system;
s3.3: when the product size is in a second range, the voltage at two ends of the storage battery is combined for judgment, and when the voltage at two ends of the storage battery is lower than the charging range, a charging command is sent to the feed monitoring system, and the current product size is stored;
s3.4: when the magnitude of the product falls within the third range, a charge command is sent directly to the low-voltage battery.
5. The utility model provides a platform is realized in management of new forms of energy car low pressure power, its characterized in that includes:
the storage analysis module is used for storing and analyzing the data acquired from the feed monitoring system to obtain the parking time, the use time of the low-voltage storage battery, the feed times of the low-voltage storage battery in unit time, the SOC state of the high-voltage power battery, the voltage of the high-voltage power battery and the times of faults and alarms of the power system;
the SOC correction module is used for determining whether SOC needs to be corrected according to the difference between the SOC state of the high-voltage power battery and the SOC value obtained by table lookup of the voltage of the high-voltage power battery, and correcting the SOC value when the SOC needs to be corrected;
the charging judgment module is used for determining whether charging is needed or not according to the parking time, the use time of the low-voltage storage battery, the feeding times of the low-voltage storage battery in unit time, the SOC state of the high-voltage power battery and the times of faults and alarms of a power system;
wherein the SOC correction module comprises:
the first correction module is used for not correcting the SOC when the difference between the SOC state of the high-voltage power battery and the SOC value obtained by table look-up of the voltage of the high-voltage power battery is within a first preset range;
the second correction module is used for correcting the SOC into the average value of the SOC state of the high-voltage power battery and the SOC value obtained by table look-up of the voltage of the high-voltage power battery when the difference between the SOC state of the high-voltage power battery and the SOC value obtained by table look-up of the voltage of the high-voltage power battery is within a second preset range;
the third correction module is used for correcting the SOC into the sum of the SOC state of the partial high-voltage power battery and the SOC value obtained by table look-up of the voltage of the partial high-voltage power battery when the difference between the SOC state of the high-voltage power battery and the SOC value obtained by table look-up of the voltage of the high-voltage power battery is within a third preset range;
the fourth correction module is used for correcting the SOC by adopting the current SOC value obtained by the power consumption calculated by the integral of the discharge current of the power battery when the difference between the SOC state of the high-voltage power battery and the SOC value obtained by table look-up of the voltage of the high-voltage power battery is within a fourth preset range; the first preset range, the second preset range, the third preset range and the fourth preset range are sequentially increased in size.
6. The platform of claim 5, wherein the third modification module is configured to modify the SOC to a sum of 1/3 SOC values from a lookup table of voltages from the high voltage power battery and 2/3 SOC values from a lookup table of voltages from the high voltage power battery when a difference between the SOC state of the high voltage power battery and the SOC value from a lookup table of voltages from the high voltage power battery is within a third predetermined range.
7. The platform of claim 5, wherein the fourth correction module is configured to calculate a current SOC value using a power consumption calculated by integrating a discharge current of the high-voltage power battery; and comparing the calculated current SOC value with an SOC value obtained by looking up the table of the voltage of the high-voltage power battery, if the difference between the current SOC value and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery is within a preset difference range, taking the average value of the current SOC value and the SOC value obtained by looking up the table of the voltage of the high-voltage power battery as the SOC value, otherwise, judging whether the current sensor and the voltage sensor have problems, not sending a charging command, but storing the current error-free state in a big data system.
8. The platform of any one of claims 5 to 7, wherein the charging determination module comprises:
the factor calculation module is used for calculating the product of the parking time, the service time of the low-voltage storage battery, the feeding times of the low-voltage storage battery in unit time, the SOC state of the high-voltage power battery and the times of power system faults and alarms;
the charging judgment submodule is used for not sending a charging command to the feed monitoring system when the product size is in a first range; when the product size is in a second range, the voltage at two ends of the storage battery is combined for judgment, and when the voltage at two ends of the storage battery is lower than the charging range, a charging command is sent to the feed monitoring system, and the current product size is stored; and when the product size falls within a third range, directly sending a charging command to the low-voltage storage battery, wherein the first range, the second range and the third range are sequentially increased.
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CN113147503B (en) * 2021-04-19 2024-03-08 北京汽车股份有限公司 Power management method for electric vehicle

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101214797A (en) * 2007-12-29 2008-07-09 奇瑞汽车有限公司 Mixed power automobile battery charging and discharging current limitation protecting method
CN102749588A (en) * 2012-06-20 2012-10-24 南京航空航天大学 Method for fault diagnosis on basis of storage battery state of charge (SOC) and state of health (SOH)
CN108177525A (en) * 2017-12-28 2018-06-19 上汽通用五菱汽车股份有限公司 Electric vehicle and power accumulator safety management control method
CN109633460A (en) * 2018-12-27 2019-04-16 东风航盛（武汉）汽车控制系统有限公司 A kind of general battery charge state capacity estimation method
CN110315978A (en) * 2019-07-12 2019-10-11 重庆长安新能源汽车科技有限公司 A kind of charging method of low tension battery, system and electric car

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101214797A (en) * 2007-12-29 2008-07-09 奇瑞汽车有限公司 Mixed power automobile battery charging and discharging current limitation protecting method
CN102749588A (en) * 2012-06-20 2012-10-24 南京航空航天大学 Method for fault diagnosis on basis of storage battery state of charge (SOC) and state of health (SOH)
CN108177525A (en) * 2017-12-28 2018-06-19 上汽通用五菱汽车股份有限公司 Electric vehicle and power accumulator safety management control method
CN109633460A (en) * 2018-12-27 2019-04-16 东风航盛（武汉）汽车控制系统有限公司 A kind of general battery charge state capacity estimation method
CN110315978A (en) * 2019-07-12 2019-10-11 重庆长安新能源汽车科技有限公司 A kind of charging method of low tension battery, system and electric car

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