AU2018422185A1 - Smart vehicle control system - Google Patents
Smart vehicle control system Download PDFInfo
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- AU2018422185A1 AU2018422185A1 AU2018422185A AU2018422185A AU2018422185A1 AU 2018422185 A1 AU2018422185 A1 AU 2018422185A1 AU 2018422185 A AU2018422185 A AU 2018422185A AU 2018422185 A AU2018422185 A AU 2018422185A AU 2018422185 A1 AU2018422185 A1 AU 2018422185A1
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- Prior art keywords
- data
- database
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- vehicle
- operation behavior
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W2050/0001—Details of the control system
- B60W2050/0002—Automatic control, details of type of controller or control system architecture
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W2050/0001—Details of the control system
- B60W2050/0043—Signal treatments, identification of variables or parameters, parameter estimation or state estimation
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- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Human Computer Interaction (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Combined Controls Of Internal Combustion Engines (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
A smart vehicle control system, comprising a control box (1), an integrated unit for display and operations (2), a data storage device (4), a controller (3), a sensor (6), and a GPS receiver (5), wherein data transmission therebetween is performed by means of a communication bus. The control box (1) and the integrated unit for display and operations (2) are installed in the driver's compartment and acquire operational behavior data. The data storage device (4) is installed in the driver's compartment and stores the operational behavior data. The controller (3) is installed within the driver's compartment and analyzes and processes the operational behavior data. The sensor (6) is installed in the vehicle body and acquires detection data. The GPS receiver (5) is installed within the driver's compartment and acquires positional data of the vehicle.
Description
[0001] The present disclosure relates to a smart control system of
a special vehicle based on analysis of an operation behavior.
[0002] At present, the current condition for work controlofa special
vehicle within the industry is that all the operations of a special
vehicle are manually operated, or semi-manually operated with a low
degree of automation. Researches on works of a special vehicle home
and abroad mostly concern structural designs of a whole vehicle, with
a small percentage concerning a special control device, which also
only involves designs of working principles for manual and
semi-automatic operations. As for a smart control method and device
of a special vehicle based on analysis of operation behaviors, these
have not been involved by manufactures home and abroad in this field.
[0003] An object of the disclosure is that in order to overcome the
drawbacks present in the prior art, the present disclosure provides
a smart control system of vehicle.
[0004] Technical solution: in order to solve the above-described
technical problem, the present disclosure adopts the following
-1 - IEE200215PAU technical solution.
[0005] In some embodiments, a smart control system of a vehicle is
provided, comprising a controlbox, a display and operation integrated
machine, a data memory, a controller, one or more sensors, and a GPS
receiver, among which data is transmitted in a manner of bus
communication, wherein: the control box and the display and operation
integrated machine, are installed within a cab and configured to
acquire operation behavior data; the one or more sensors are installed
on a body of the vehicle and configured to acquire detection data;
the GPS receiver is installed within the cab and configured to acquire
position data of the vehicle; the data memory is installed within
the cab and configured to store operation behavior data; and the
controller is installed within the cab and configured to analyze and
process the operation behavior data.
[0006] In some embodiments, the smart controlsystemis characterized
in that an acquisition of the operation behavior data is implemented
such that: the control box, the display and operation integrated
machine, the GPS receiver and the sensors acquire operation behavior
data at a current position of the vehicle in real time, and sent the
operation behavior data at the current position to the data memory
for storage.
[0007] In some embodiments, the smart control system of a vehicle
is characterized in that a storage of the operation behavior data
is implemented such that: the data memory installed within the cab
stores the operation behavior data acquired and data from an operation
behavior database.
[0008] In some embodiments, the smart control system of a vehicle
is characterized in that an analysis and processing of the operation
behavior data is implemented such that: the controller installed
-2- IEE200215PAU within the cab reads the operation behavior data in the data memory, analyzes and processes the operation behavior data to create an operation behavior database at a current position of the vehicle automatically, transmits the operation behavior database at the current position to an operation behavior database for storage and to a real-time display of operation data for display.
[0009] In some embodiments, the smart control system of a vehicle
is characterized in that the real-time display of operation data is
implemented such that: the display and operation integrated machine
installed within the cab receives data from a processing of the
operation behavior data, and displays an operation instruction and
alarm information, wherein a display content comprises an operation
instruction, detection information, a running instruction and alarm
information.
[0010] In some embodiments, the smart control system of a vehicle
is characterized in that a troubleshooting is implemented such that:
the controller installed within the cab automatically matches a
troubleshooting method by analyzing alarm information currently
acquired of the vehicle and sends the troubleshooting method to a
real-time display of operation data to display.
[0011] In some embodiments, the smart controlsystemis characterized
in that an operation behavior database is implemented such that: the
controller automatically creates a database of historical query
records and a database of historical operation records at a current
position of the vehicle in a statistical manner by processing the
operation behavior data, and stores the database of historical query
records and the database of historical operation records at the
current position in the data memory; the controller automatically
creates optimal control parameters at a current position of the
vehicle using a neural network algorithm by processing the operation
-3 - IEE200215PAU behavior data, generates an running database and stores the running database in the data memory, wherein the optimal control parameters comprise a work mode, an engine control, a gas path control, a water circuit control, and a mechanism control; the controller automatically creates an alarm information database at a current position of the vehicle using a fault tree analysis method in conjunction with a neural network algorithm by processing the operation behavior data and stores the alarm information database in the data memory.
[0012] In some embodiments, the smart control system of a vehicle
is characterized in that a troubleshooting method is implemented such
that: the controller installed within the cab automatically performs
a fault diagnosis of alarm information by analyzing and processing
an alarm information database, generates a troubleshooting method
for current fault information by using a fault tree analysis method,
sends the troubleshooting method to an alarm data display, and sends
out an alarm information reminder at the same time.
[0013] In some embodiments, the smart control system of a vehicle
is characterized in that in a case where the vehicle travels to a
planned construction area, the controller installed within the cab
automatically learns optimalcontrolparameters at a current position
of the vehicle by analyzing historical operation data and running
data in the data memory, to implement a smart control of construction
and work; in a case where the vehicle travels to a planned
construction area, the controller installed within the cab identifies
fault information at a current position of the vehicle, by analyzing
an alarm information database in the data memory and comparing current
work parameters, compares data of a troubleshooting, automatically
sends out an alarm reminder, and sends a troubleshooting method to
the display and operation integrated machine to display.
-4 - IEE200215PAU
[0014] Advantageous effects: the smart control system of vehicle
provided in the present disclosure, automatically creates or learns
a database of optimal operation parameters of a special vehicle by
acquiring and processing operation behavior data, and automatically
learns optimal system parameters under a current working condition
by analyzing historical data of operation behaviors during the work
of the special vehicle, so as to implements automatically control
of members such as an engine, a water circuit system, an gas path
system, and an work device. Since the data acquisition, storage, and
processing are automatically accomplished by the control system in
the present disclosure, optimal work parameters are automatically
learned for the operation process of the special vehicle, thereby
implementing smart control of the special vehicle. Therefore, the
present disclosure provides a smart control method and device of a
special vehicle having easy operation, comprehensive function and
high degree of automation. The specific advantages of the present
disclosure are as follows:
1. An acquisition ofoperation behavior datais involvedin the present
disclosure. Acontrolbox, a display and operation integratedmachine,
and a GPS receiver installed within a cab as well as various kinds
of sensors installed on a body acquire current operation behavior
data and status data which are transmitted by bus.
2. A storage of the operation behavior data is involved in the present
disclosure. A data memory installed within the cab is configured to
store data of an operation behavior acquisition unit and an operation
behavior database automatically created.
3. A process of the operation behavior data is involved in the present
disclosure. A controller installed within the cab reads data from
-5 - IEE200215PAU the data memory, and processes operation behavior data.
4. An operation behavior database is involved in the present
disclosure. The operation behavior database which comprises
historical query records, historical operation records, a running
database, and an alarm information database is automatically created
based on a neural network algorithm by analyzing and processing the
operation behavior data at a current position of the vehicle.
5. A smart control method is involved in the present disclosure.
Optimal parameters of work at a current position of the vehicle is
automatically learned using a neural network algorithm by analyzing
historicaldata of the operation behavior database, so as to implement
work control of the special vehicle. The work control is specifically
embodied in aspects such as a work mode selection, an automatic shift
of rotation speed of an engine, an automatic control of a gas path
and an automatic control of a water circuit.
6. A fault diagnosis is involved in the present disclosure. The fault
diagnosis is implemented using a fault tree analysis method in
conjunction with a neural network algorithm. The fault diagnosis is
specifically embodied in aspects such as a guidance of a
troubleshooting method and a push of fault information.
IEE200215PAU
[0015] Fig. 1 is a general block diagram of the present disclosure;
[0016] Fig. 2 is a functional frame diagram of the smart control
system;
[0017] Fig. 3 is a schematic diagram of an installation location of
the smart control device.
-7 - IEE200215PAU
[0018] The present disclosure will be further described below in
conjunction with specific embodiments.
[0019] As shown in Figs. 1 to 3, a hardware configuration method,
a principle of control and an installation location of a smart control
system of vehicle which comprises a control box h, a display and
operation integrated machine Z, a controller @, a data memory A, a GPS receiver ( and one or more sensors are provide respectively.
An operation behavior database is created, and a work control and
a fault diagnosis are performed by analyzing the operation behavior
database by the above-described configuration. The work control is
specifically embodied in aspects such as a work mode selection, an
automatic shift of rotation speed of an engine, an automatic control
of a gas path and an automatic control of a water circuit. The fault
diagnosis is specifically embodied in aspects such as a guidance of
a troubleshooting method and a push of fault information. As a result,
a smart work level and a fault diagnosis capability are improved.
[0020] 1. In some embodiments, the control box, the display and
operation integrated machine, the GPS receiver and various kinds of
sensors installed on the body acquire operation behavior data at a
current position of the vehicle in real time, and sent the operation
behavior data at the current position to the data memory for storage.
2. In some embodiments, the data memory installed within the cab
receives and stores the operation behavior data. 3. In some
embodiments, the controller of a junction box installed within the
cab reads operation behavior data within the data memory through the
bus, and calculates system parameters at a current position of the
vehicle using a neural network algorithm, stores system parameters
at the current position in the data memory to generate an operation
-8g- IEE200215PAU behavior database. 4. In some embodiments, the controller processes the operation behavior data, and sends an operation instruction and fault information to the display and operation integrated machine for real-time display. 5. In some embodiments, the controller automatically learns the operation behavior database during the work the special vehicle, and automatically leans construction parameters comprising a work mode selection parameter, an automatic shift parameter of rotation speed of an engine, an automatic control parameter of a gas path and an automatic control parameter of a water circuit, a control parameter of a work device and an alarm reminder parameter by comparative analysis of data of the vehicle position and the operation behavior data, thereby implementing smart operation control. 6. In some embodiments, during the construction process of the special vehicle, automatically identifies alarm information by a comparative analysis of the database, and sends a fault diagnosis and troubleshooting method to the display and operation integrated machine for display.
[0021] The hardware configuration of the present disclosure
comprises the control box 0, the display and operation integrated
machine @,the data memory @, the controller @, the one or more
sensors ,the GPS receiver , among which data is transmitted in
a manner of bus communication. The control box and the display and
operation integrated machine @ are installed within a cab and
configured to acquire operation behavior data. The data memory O9is
installed within the cab and configured to store operation behavior
data. . The controller is installed within the cab and configured
to analyze and process the operation behavior data. The sensors 29
are installed on a body of the vehicle and configured to acquire
detection data. The GPS receiver (5 is installed within the cab and
configured to acquire position data of the vehicle.
-9 - IEE200215PAU
[0022] In some embodiments, an acquisition of the operation behavior data 1 in the present disclosure is implemented such that: the control
box (1), the display and operation integrated machine @ and the GPS
receiver installed within the cab acquire the operation data 7, running data 9, alarm data 10, and the position data 6; and the one
or more sensors (0 installed on the body acquire the detection data 8, and a storage of the operation behavior data 2 is performed on the acquired data.
[0023] In some embodiments, the storage of the operation behavior data 2 of the present disclosure is implemented such that: the data
memory 29 installed within the cab stores data from the acquisition of the operation behavior data 1 and the operation behavior database 11.
[0024] In some embodiments, the processing of the operation behavior data 3 in the present disclosure is implemented such that: the
controller (A installed within the cab reads the operation behavior
data in the data memory @, analyzes and processes the operation behavior data to create an operation behavior database 11 at a current position of the vehicle automatically, transmits the operation behavior database 11 at the current position to the storage of the operation behavior data 2 and to a real-time display of operation data for display.
[0025] In some embodiments, the real-time display of operation data 4 in the present disclosure is implemented such that: the display
and operation integrated machine 0 installed within the cab receives data sent by the processing of the operation behavior data 3, and displays an operation instruction and alarm information, a display content comprises a display of an operation instruction 12, a display of detection information 13, a display of a running instruction 14
-10- IEE200215PAU and a display of alarm information 15.
[0026] In some embodiments, the troubleshooting 5 in the present
disclosure is implemented such that: the controller @ installed
within the cab automatically matches a troubleshooting method 28 by
analyzing alarm information currently acquired of the vehicle and
sends the troubleshooting method 28 to the real-time display of
operation data 4 for display.
[0027] In some embodiments, the operation behavior database 11 in
the present disclosure is implemented such that: the controller (A
installed within the cab automatically creates a database of
historical query records 16 and a database of historical operation
records 17 at a current position of the vehicle in a statisticalmanner
by the processing of the operation behavior data 3, and stores the
database ofhistoricalquery records 16 and the database ofhistorical
operation records 17 at the current position in the data memory.
[0028] In some embodiments, the operation behavior database 11 of
the present disclosure is implemented such that: the controller @ installed within the cab automatically creates optimal control
parameters 21 at a current position of the vehicle using a neural
network algorithm by processing the operation behavior data,
generates an running database 18 and stores the running database 18
in the data memory, the optimal control parameters 21 comprise parameters of a work mode 22, an engine control 23, a gas path control
24, a water circuit control 25, and a mechanism control 26.
[0029] In some embodiments, the operation behavior database 11 of
the present disclosure is implemented such that: the controller (A
installed within the cab automatically creates an alarm information
database 19 at a current position of the vehicle using a fault tree
analysis method in conjunction with a neural network algorithm by
-11 - IEE200215PAU the processing the operation behavior data 3 and stores the alarm information database 19 in the data memory.
[0030] In some embodiments, the troubleshooting method 28 of the
present disclosure is implemented such that: the controller @ installed within the cab automatically performs a fault diagnosis
of alarm information by analyzing and processing the alarm
information database 19, generates a troubleshooting method for
current fault information by using a fault tree analysis method, sends
the troubleshooting method to an alarm data display 15, and sends
out an alarm information reminder 27 at the same time.
[0031] In some embodiments, the smart control system I of the present
disclosure is implemented such that: in a case where the vehicle
travels to a planned construction area, the controller (A installed
within the cab automatically learns optimal control parameters 21
at a current position of the vehicle by analyzinghistoricaloperation
data and running data in the data memory @, to implement a smart
control of construction and work. The optimal control parameters 21
comprise parameters of a work mode 22, an engine control 23, a gas
path control 24, a water circuit control 25, and a mechanism control
26.
[0032] In some embodiments, the smart control system I of the present
disclosure is implemented such that: in a case where the vehicle
travels to a planned construction area, the controller (A installed
within the cab identifies fault information at a current position
of the vehicle, by analyzing an alarm information database 19 in the
data memory and comparing current work parameters, compares data of
troubleshooting 5, automatically sends out an alarm reminder 27, and
sends a troubleshootingmethod to the display and operation integrated
machine to display.
-12- IEE200215PAU
[0033] The above-described descriptions are only preferred
embodiments of the present disclosure. It should be noted that: those
skilled in the art may also make several improvements and refinements
without departing from the principles of the present disclosure, which
modifications and refinements are also considered to be within the
protection scope of the present application.
-13 - IEE200215PAU
Claims (9)
1. A smart control system of a vehicle, characterized by,
comprising a controlbox, a display and operation integrated machine,
a data memory, a controller, one or more sensors, and a GPS receiver,
among which data is transmitted in a manner of bus communication,
wherein:
the control box and the display and operation integrated machine,
are installed within a cab and configured to acquire operation
behavior data;
the one or more sensors are installed on a body of the vehicle
and configured to acquire detection data;
the GPS receiver is installed within the cab and configured to
acquire position data of the vehicle; the data memory is installed
within the cab and configured to store operation behavior data; and
the controller is installed within the cab and configured to analyze
and process the operation behavior data.
2. The smart control system of the vehicle according to claim 1,
characterized in that, an acquisition of the operation behavior data
is implemented such that: the control box, the display and operation
integratedmachine, the GPS receiver and the sensors acquire operation
behavior data at a current position of the vehicle in real time, and
-14- IEE200215PAU sent the operation behavior data at the current position to the data memory for storage.
3. The smart control system of the vehicle according to claim 1,
characterized in that, a storage of the operation behavior data is
implemented such that: the datamemoryinstalledwithin the cab stores
the operation behavior data acquired and data from an operation
behavior database.
4. The smart control system of the vehicle according to claim 1,
characterized in that, an analysis and processing of the operation
behavior data is implemented such that: the controller installed
within the cab reads the operation behavior data in the data memory,
analyzes and processes the operation behavior data to create an
operation behavior database at a current position of the vehicle
automatically, transmits the operation behavior database at the current
position to an operation behavior database for storage and to a
real-time display of operation data for display.
5. The smart control system of a vehicle according to claim 1,
characterized in that, the real-time display of operation data is
implemented such that: the display and operation integrated machine
installed within the cab receives data from a processing of the
operation behavior data, and displays an operation instruction and
alarm information, wherein a display content comprises an operation
instruction, detection information, a running instruction and alarm
information.
-15- IEE200215PAU
6. The smart control system of the vehicle according to claim 1,
characterized in that, a troubleshooting is implemented such that:
the controller installed within the cab automatically matches a
troubleshooting method by analyzing alarm information currently
acquired of the vehicle and sends the troubleshooting method to a
real-time display of operation data to display.
7. The smart control system of the vehicle according to claim 1,
characterized in that, an operation behavior database is implemented
such that: the controller automatically creates a database of
historical query records and a database of historical operation
records at a current position of the vehicle in a statistical manner
by processing the operation behavior data, and stores the database
of historical query records and the database of historical operation
records at the current position in the data memory;
the controller automatically creates optimal control parameters
at a current position of the vehicle using a neural network algorithm
by processing the operation behavior data, generates a running
database and stores the running database in the data memory, wherein
the optimal controlparameters comprise a work mode, an engine control,
a gas path control, a water circuit control, and a mechanism control;
the controller automatically creates an alarm information
database at a current position of the vehicle using a fault tree
analysis method in conjunction with a neural network algorithm by
processing the operation behavior data and stores the alarm
-16- IEE200215PAU information database in the data memory.
8. The smart control system of the vehicle according to claim 1,
characterizedin that, a troubleshootingmethod is implemented such that:
the controllerinstalledwithin the cab automaticallyperforms a fault
diagnosis of alarm information by analyzing and processing an alarm
information database, generates a troubleshootingmethod for current
fault information by using a fault tree analysis method, sends the
troubleshooting method to an alarm data display, and sends out an
alarm information reminder at the same time.
9. The smart control system of the vehicle according to claim 1,
characterized in that, in a case where the vehicle travels to a planned
construction area, the controller installed within the cab
automatically learns optimalcontrolparameters at a current position
of the vehicle by analyzing historical operation data and running
data in the data memory, to implement a smart control of construction
and work;
in a case where the vehicle travels to a planned construction area,
the controller installed within the cab identifies fault information
at a currentposition of the vehicle, by analyzing an alarminformation
database in the data memory and comparing current work parameters,
compares data of a troubleshooting, automatically sends out an alarm
reminder, and sends a troubleshooting method to the display and
operation integrated machine to display.
-17- IEE200215PAU
CAN BUS GPS receiver Position data 6 ⑥ Operational data 7 Sensor ⑤ Operational Detection data 8 behavior data Control box ① acquisition 1 Running data 9
Alarm data 10 Integrated unit for display and operations ② Historical query record 16 Operation Operational Data storage Operational mode 22 behavior data history record Engine device ③ storage 2 17 control 23 Optimal Running database control Gas circuit 18 control 24 Operational Operational parameter 21 Alarm Water circuit Controller ④ behavior data behavior information database 11 control 25 processing 3 database 19 Execution Operational mechanism 26 instruction display 12 Integrated Detection information Real-time display display 13 unit for of operational display and Working instruction data 4 operations ② display 14 Alarm information display 15
Troubleshooting Failure Controller ④ Troubleshooting 5 method 28 diagnosis 20
Alarm notification 27
Fig. 1
1 / 3 IEE200215PAU
Alarm information Position data 6 Troubleshooting 5 reminder 27 Alarm information database 19
Work mode 22
Engine control 23
Smart control Optimal control Running database 18 system I parameters 21 Gas path control 24
Water circuit control 25
Mechanism control 26 Historical operation records 17
Fig. 2
2 / 3 IEE200215PAU
Fig. 3
3 / 3 IEE200215PAU
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810431754.0 | 2018-05-08 | ||
| CN201810431754.0A CN108639062B (en) | 2018-05-08 | 2018-05-08 | A kind of Vehicular intelligent control system |
| PCT/CN2018/100921 WO2019214106A1 (en) | 2018-05-08 | 2018-08-17 | Smart vehicle control system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| AU2018422185A1 true AU2018422185A1 (en) | 2020-11-12 |
| AU2018422185A2 AU2018422185A2 (en) | 2021-02-11 |
Family
ID=63749819
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2018422185A Pending AU2018422185A1 (en) | 2018-05-08 | 2018-08-17 | Smart vehicle control system |
Country Status (4)
| Country | Link |
|---|---|
| CN (1) | CN108639062B (en) |
| AU (1) | AU2018422185A1 (en) |
| PH (1) | PH12020551879A1 (en) |
| WO (1) | WO2019214106A1 (en) |
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| CN110084919B (en) * | 2019-04-19 | 2020-06-23 | 深圳市德塔防爆电动汽车有限公司 | Electric vehicle and safety tree construction method thereof |
| CN110222822B (en) * | 2019-05-31 | 2021-04-09 | 北京工业大学 | Construction method of black box prediction model internal characteristic causal graph |
| CN113183987B (en) * | 2021-05-11 | 2024-02-23 | 南京信易达计算技术有限公司 | Intelligent storage system and method for unmanned application of new energy automobile |
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2018
- 2018-05-08 CN CN201810431754.0A patent/CN108639062B/en active Active
- 2018-08-17 WO PCT/CN2018/100921 patent/WO2019214106A1/en active Application Filing
- 2018-08-17 AU AU2018422185A patent/AU2018422185A1/en active Pending
-
2020
- 2020-11-06 PH PH12020551879A patent/PH12020551879A1/en unknown
Also Published As
| Publication number | Publication date |
|---|---|
| CN108639062B (en) | 2019-11-19 |
| CN108639062A (en) | 2018-10-12 |
| AU2018422185A2 (en) | 2021-02-11 |
| WO2019214106A1 (en) | 2019-11-14 |
| PH12020551879A1 (en) | 2021-05-31 |
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