CN107128199B - Control strategy of direct current charging pile charging management system with multiple contextual models - Google Patents
Control strategy of direct current charging pile charging management system with multiple contextual models Download PDFInfo
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- CN107128199B CN107128199B CN201710369882.2A CN201710369882A CN107128199B CN 107128199 B CN107128199 B CN 107128199B CN 201710369882 A CN201710369882 A CN 201710369882A CN 107128199 B CN107128199 B CN 107128199B
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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
- 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]
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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
- B60L53/64—Optimising energy costs, e.g. responding to electricity rates
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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
- 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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- 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
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
- Secondary Cells (AREA)
Abstract
The invention discloses a control strategy of a direct current charging pile charging management system with multiple contextual models, which comprises the following control strategies: (1) travel mode charging, time-sharing leasing mode charging, nanny car mode charging, holiday tour mode and automatic charging mode. According to the intelligent charging system, intelligent charging under various contextual modes can be realized when the contextual modes are set; at this time, after receiving the information and the instruction of the battery from the electric vehicle BMS, the charging pile control system recalculates the data and executes a specific algorithm according to the profile to control the start/stop of the charging module and the current/voltage parameters, instead of completely executing the charging current and charging voltage parameter instruction sent by the BMS (battery management system).
Description
Technical Field
The invention relates to a control strategy of a direct current charging pile charging management system with multiple contextual models.
Background
The conventional charging control process of the electric automobile comprises the following steps: the charging control system of the automobile charging pile is connected with a BMS battery management system of the electric automobile through a Can port, and the charging is started and stopped according to the messages of the BMS; and controlling the current and voltage output of the charging pile according to the current and voltage values in the BMS message.
Disclosure of Invention
The invention aims to provide a control strategy of a charging management system of a direct current charging pile with multiple contextual models, which can realize intelligent charging in various contextual models.
The technical solution of the invention is as follows:
the utility model provides a direct current fills electric pile charge management system's control strategy with multiple contextual model, characterized by: a control strategy comprising the following scenarios:
(1) travel mode charging
And (3) a charging control strategy: charging at 1.2C for 40min to reach SOC80%, prompting the completion of charging, ensuring the maximum electric quantity within the shortest time, and entering a 0.1C charging maintenance stage until the SOC reaches 100%;
(2) time-sharing rental mode charging
And (3) a charging control strategy: charging at 1.2C for 40min to reach 80%, charging at 0.1C to 100%, and reminding the completion of charging;
(3) nanny car mode charging
Charging at 0.3C for 2 hours to reach 60%, charging at 0.1C for curing to reach 80%;
(4) holiday tour mode
And (3) a charging control strategy: charging at 0.3C for 2 hours to reach 60%, charging at 0.1C for curing to reach 100%;
(5) automatic charging mode
Automatic charging is according to BMS settings.
When the capacity deviation of a single battery of the battery pack is large, the voltage value of the maximum capacity battery is used as the reference of the capacity SOC of the whole battery pack.
The control flow comprises the following steps: a user configures a charging mode as required, starts a charging management system by swiping a card to send a starting command, and takes the charging mode as one of the parameters to be issued when the charging management system sends the starting command; entering the following charging parameter acquisition state, and further entering a charging progress state:
(1) a charging parameter acquisition state: the charging management system is communicated with the electric vehicle BMS through the CAN, the electric vehicle BMS sends battery information to the charging management system, and the battery information contains rated capacity data, an output voltage value and a charging current requirement;
(2) a charging progress state: the charging management system performs two repetitive actions:
1) the control board obtains the charging requirement and the charging details actively sent by the BMS; the charging requirement comprises voltage and current required by charging, and the charging details comprise real-time SOC, real-time cell maximum voltage and real-time cell maximum voltage data;
2) controlling the charging module to output voltage and current: and outputting corresponding voltage and current according to the corresponding charging mode.
In each profile, the current voltage of the charge is not provided exactly according to the demand parameters of the BMS, but according to the following algorithm:
where u represents the set output voltage value, in units of V;
k represents a coefficient, charge rate;
c represents the battery rated capacity, in AH;
u output voltage value, when the control board communicates with the BMS, the voltage value is obtained from the BMS;
and taking the value of the coefficient k, and determining according to the charging mode and the current SOC value:
in the travel mode, SOC is less than or equal to 80 percent, and k takes a value of 1.2
SOC is more than 80%, and k is 0.1;
under the time-sharing leasing mode, the SOC is less than or equal to 80 percent, and the k value is 1.2
SOC is more than 80%, and k is 0.1;
in the nanny car mode, the SOC is less than or equal to 60 percent, and the k value is 0.3
60% < SOC is less than or equal to 80%, and k takes a value of 0.1;
in holiday tour mode, SOC is less than or equal to 60 percent, and k takes a value of 0.3
60% < SOC is less than or equal to 100%, and k takes a value of 0.1;
in the automatic mode, the k value is defaulted to 0.3;
and the rated capacity C of the battery pack is obtained from the BMS when the control panel is communicated with the BMS.
The control method for stopping charging comprises the following steps:
1) the battery information SOC transmitted by the electric vehicle BMS is > 100%;
2) a charging stop command sent by the electric vehicle BMS;
3) the single battery voltage of the battery information sent by the electric vehicle BMS is out of limit;
4) battery pack voltage out-of-limit of battery information sent by the electric vehicle BMS;
5) battery pack temperature out-of-limit of battery information sent by the electric vehicle BMS;
6) battery pack pressure out-of-limit of battery information sent by the electric vehicle BMS;
7) in the nanny car mode, the SOC of the battery sent by the electric car BMS is more than 100 percent;
when any one of the conditions is met, the charging management system sends a charging stopping instruction.
According to the intelligent charging system, intelligent charging under various contextual modes can be realized when the contextual modes are set; at this time, after receiving the information and the instruction of the battery from the electric vehicle BMS, the charging pile control system recalculates the data and executes a specific algorithm according to the profile to control the start/stop of the charging module and the current/voltage parameters, instead of completely executing the charging current and charging voltage parameter instruction sent by the BMS (battery management system).
Drawings
The invention is further illustrated by the following figures and examples.
FIG. 1 is a schematic control flow diagram of the present invention.
Fig. 2 is a schematic diagram of a control flow for controlling the output voltage and current of the charging module according to the present invention.
Detailed Description
A control strategy of a direct current charging pile charging management system with multiple contextual models comprises the following control strategies:
(1) travel mode charging
The purpose is as follows: the shortest time rapid charging achieves as large a battery capacity as possible.
And (3) a charging control strategy: charging at 1.2C for 40min to reach SOC80%, prompting the completion of charging, ensuring the maximum electric quantity within the shortest time, and entering a 0.1C charging maintenance stage until the SOC reaches 100%;
(2) time-sharing rental mode charging
The purpose is as follows: the shortest time quick charge reaches as big battery capacity as possible, then, through the maintenance of the battery of charging of low magnification, waits to rent at any time.
And (3) control strategy: charging at 1.2C for 40min to reach 80%, charging at 0.1C to 100%, and reminding the completion of charging;
(3) nanny car mode charging
The purpose is as follows: in this state, the trip distance is very short, and a lot of short trips can be satisfied in one-time charging, charges with standard charge rate, reaches to make the battery full of to a certain amount, then, charges to SOC80% through the maintenance of battery that little rate charges, and the long-term full capacity rechargeable battery harms soon.
Charging at 0.3C for 2 hours to reach 60%, charging at 0.1C for curing to reach 80%;
(4) holiday tour mode
The purpose is as follows: in this state, the travel distance is long, and the maximum charge capacity is achieved by charging to full.
And (3) a charging control strategy: the charge at 0.3C for 2 hours reaches 60%, and the charge at 0.1C is maintained and balanced to 100%.
And (3) a charging control strategy: charging at 0.3C for 2 hours to reach 60%, charging at 0.1C for curing to reach 100%;
(5) automatic charging mode
Automatic charging is according to BMS settings. This fill electric pile can stop charging according to the charging that BMS (battery management system) sent under the automatic charging mode, and the instruction execution of charging current and charging voltage according to BMS can the automatically regulated mode of charging.
When the capacity deviation of a single battery of the battery pack is large, the voltage value of the maximum capacity battery is used as the reference of the capacity SOC of the whole battery pack.
The control flow comprises the following steps: a user configures a charging mode as required, starts a charging management system by swiping a card to send a starting command, and takes the charging mode as one of the parameters to be issued when the charging management system sends the starting command; entering the following charging parameter acquisition state, and further entering a charging progress state:
(1) a charging parameter acquisition state: the charging management system is communicated with the electric vehicle BMS through the CAN, the electric vehicle BMS sends battery information to the charging management system, and the battery information contains rated capacity data (AH in ampere hours), an output voltage value (V in ampere hours) and a charging current demand (A in ampere hours);
(2) a charging progress state: the charging management system performs two repetitive actions:
1) the control board obtains the charging requirement and the charging details actively sent by the BMS; the charging requirement comprises voltage and current required by charging, and the charging details comprise real-time SOC, real-time cell maximum voltage and real-time cell maximum voltage data;
2) controlling the charging module to output voltage and current: and outputting corresponding voltage and current according to the corresponding charging mode.
In each profile, the current voltage of the charge is not provided exactly according to the demand parameters of the BMS, but according to the following algorithm:
where u represents the set output voltage value, in units of V;
k represents a coefficient, charge rate;
c represents the battery rated capacity, in AH;
u output voltage value, when the control board communicates with the BMS, the voltage value is obtained from the BMS;
and taking the value of the coefficient k, and determining according to the charging mode and the current SOC value:
in the travel mode, SOC is less than or equal to 80 percent, and k takes a value of 1.2
SOC is more than 80%, and k is 0.1;
under the time-sharing leasing mode, the SOC is less than or equal to 80 percent, and the k value is 1.2
SOC is more than 80%, and k is 0.1;
in the nanny car mode, the SOC is less than or equal to 60 percent, and the k value is 0.3
60% < SOC is less than or equal to 80%, and k takes a value of 0.1;
in holiday tour mode, SOC is less than or equal to 60 percent, and k takes a value of 0.3
60% < SOC is less than or equal to 100%, and k takes a value of 0.1;
in the automatic mode, the k value is defaulted to 0.3;
and the rated capacity C of the battery pack is obtained from the BMS when the control panel is communicated with the BMS.
The control method for stopping charging comprises the following steps:
1) the battery information SOC transmitted by the electric vehicle BMS is > 100%;
2) a charging stop command sent by the electric vehicle BMS;
3) the single battery voltage of the battery information sent by the electric vehicle BMS is out of limit;
4) battery pack voltage out-of-limit of battery information sent by the electric vehicle BMS;
5) battery pack temperature out-of-limit of battery information sent by the electric vehicle BMS;
6) battery pack pressure out-of-limit of battery information sent by the electric vehicle BMS;
7) in the nanny car mode, the SOC of the battery sent by the electric car BMS is more than 100 percent;
when any one of the conditions is met, the charging management system sends a charging stopping instruction.
Claims (3)
1. The utility model provides a direct current fills electric pile charge management system's control strategy with multiple contextual model, characterized by: a control strategy comprising the following scenarios:
(1) travel mode charging
And (3) a charging control strategy: charging at 1.2C for 40min to reach SOC80%, prompting the completion of charging, ensuring the maximum electric quantity within the shortest time, and entering a 0.1C charging maintenance stage until the SOC reaches 100%;
(2) time-sharing rental mode charging
And (3) a charging control strategy: charging at 1.2C for 40min to reach 80%, charging at 0.1C to 100%, and reminding the completion of charging;
(3) nanny car mode charging
Charging at 0.3C for 2 hours to reach 60%, charging at 0.1C for curing to reach 80%;
(4) holiday tour mode
And (3) a charging control strategy: charging at 0.3C for 2 hours to reach 60%, charging at 0.1C for curing to reach 100%;
(5) automatic charging mode
Automatic charging according to BMS settings;
the control flow comprises the following steps: a user configures a charging mode as required, starts a charging management system by swiping a card to send a starting command, and takes the charging mode as one of the parameters to be issued when the charging management system sends the starting command; entering the following charging parameter acquisition state, and further entering a charging progress state:
(1) a charging parameter acquisition state: the charging management system is communicated with the electric vehicle BMS through the CAN, the electric vehicle BMS sends battery information to the charging management system, and the battery information contains rated capacity data, an output voltage value and a charging current requirement;
(2) a charging progress state: the charging management system performs two repetitive actions:
1) the control board obtains the charging requirement and the charging details actively sent by the BMS; the charging requirement comprises voltage and current required by charging, and the charging details comprise real-time SOC, real-time cell maximum voltage and real-time cell maximum voltage data;
2) controlling the charging module to output voltage and current: and outputting corresponding voltage and current according to the corresponding charging mode.
2. The control strategy of the charging management system of the direct current charging pile with multiple contextual models according to claim 1, characterized in that: when the capacity deviation of a single battery of the battery pack is large, the voltage value of the maximum capacity battery is used as the reference of the capacity SOC of the whole battery pack.
3. The control strategy of the charging management system of the direct current charging pile with multiple contextual models according to claim 1, characterized in that: the control method for stopping charging comprises the following steps:
1) the battery information SOC transmitted by the electric vehicle BMS is > 100%;
2) a charging stop command sent by the electric vehicle BMS;
3) the single battery voltage of the battery information sent by the electric vehicle BMS is out of limit;
4) battery pack voltage out-of-limit of battery information sent by the electric vehicle BMS;
5) battery pack temperature out-of-limit of battery information sent by the electric vehicle BMS;
6) battery pack pressure out-of-limit of battery information sent by the electric vehicle BMS;
7) in the nanny car mode, the SOC of the battery sent by the electric car BMS is more than 100 percent;
when any one of the conditions is met, the charging management system sends a charging stopping instruction.
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CN104051811B (en) * | 2014-06-25 | 2016-09-21 | 中国东方电气集团有限公司 | A kind of floating charge method and system of battery |
CN104953652A (en) * | 2015-06-11 | 2015-09-30 | 国网山东省电力公司电力科学研究院 | Control method for ordered charging of electromobile |
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Address after: 226341 No. 1, Dongyuan Avenue, ten Town, Tongzhou District, Jiangsu, Nantong Applicant after: JIANGSU DONGYUAN ELECTRICAI GROUP Co.,Ltd. Applicant after: Nantong Guoxuan New Energy Technology Co.,Ltd. Address before: 226341 No. 1, Dongyuan Avenue, ten Town, Tongzhou District, Jiangsu, Nantong Applicant before: JIANGSU DONGYUAN ELECTRICAI GROUP Co.,Ltd. Applicant before: NANTONG DONG YUAN NEW ENERGY TECHNOLOGY DEVELOPMENT Co.,Ltd. |
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