阅读说明：本技术 自动驾驶车辆智能充电方法 (Intelligent charging method for automatic driving vehicle ) 是由 王建文 任永利 于 2018-07-25 设计创作，主要内容包括：本发明涉及充电管理技术领域,特别是自动驾驶车辆智能充电方法。该方法根据车辆的SOC值、车辆的班次信息、充电车位位置分布信息和充电装置的工作状态信息给出预定充电车位；云平台指令车辆何时何地完成运输,按指令导航至充电站、桩,车辆达到充电车场后,则通过车场引导车辆泊车进入预定充电车位并控制对应的充电装置智能连接对车辆进行充电,实现了智能充电调度,以及低峰谷充电,解决了现有技术无法将充电站状况、车辆状况和充电状况统筹安排,告之车辆,导航泊位的整体方案,解决了车辆自身盲目寻找充电位问题,及充电效率较低的问题,并且达到智能调度充电,低峰谷充电省钱的目的。(The invention relates to the technical field of charging management, in particular to an intelligent charging method for an automatic driving vehicle. The method comprises the steps of giving a preset charging parking space according to the SOC value of a vehicle, the shift information of the vehicle, the position distribution information of the charging parking space and the working state information of a charging device; the cloud platform instructs the vehicle to finish transportation at any time and any place, the vehicle is navigated to the charging station and the pile according to the instruction, after the vehicle reaches the charging station, the vehicle is guided to park through the station to enter a preset charging parking space and control the corresponding charging device to be intelligently connected to charge the vehicle, intelligent charging scheduling is realized, and low peak-valley charging is realized.)

1. The intelligent charging method for the automatic driving vehicle is characterized by comprising the following steps:

1) giving out a preset charging parking space according to the SOC value of the vehicle, the shift information of the vehicle, the position distribution information of the charging parking space and the working state information of the charging device;

2) and after the vehicle reaches the parking lot where the charging station is located, guiding the vehicle to park through the parking lot to enter the preset charging parking space and controlling the corresponding charging device to charge the vehicle, wherein when the charging SOC is full, the charging device stops charging, uploads the information of the vehicle charging completion, and withdraws the charging bow.

2. The intelligent charging method for the autonomous vehicle as claimed in claim 1, wherein the vehicle arrives at the charging post position under the control of navigation, and the charging device is connected to a charging port of the vehicle.

3. The intelligent charging method for the automatic driving vehicle according to claim 2, wherein after the vehicle is charged, the cloud platform issues a task instruction according to the information of the vehicle charging completion and the shift information of the vehicle, and the vehicle carries out a transportation task to the station according to the task instruction.

4. The intelligent charging method for the autonomous vehicles according to claim 3, wherein when the vehicles are judged to complete the all-day running task according to the shift information of the vehicles, the cloud platform gives a scheduling instruction according to the position distribution information of the charging parking spaces and the working state information of the charging device, the vehicles arrive at the designated parking lot and the charging station according to the scheduling instruction, and the vehicles are induced to arrive at the designated parking lot after the identification of the designated parking lot.

5. The intelligent charging method for the automatic driving vehicle as claimed in claim 4, wherein according to the shift information and the valley charging period information of the vehicle, the vehicle turns of the charging position are arranged, the vehicle charging is sequentially awakened, and the vehicle is guided to park to the charging position of the vehicle of the previous turn through the parking lot.

Technical Field

The invention relates to the technical field of charging management, in particular to an intelligent charging method for an automatic driving vehicle.

Background

With the popularization and spread of new energy vehicles, the construction of charging facilities is very important. The existing intelligent parking lot, intelligent charging and intelligent scheduling are developed in respective fields, but are all split systems, and are not effectively and comprehensively planned together, and the existing intelligent parking lot can realize vacancy management; an unmanned charging system for an automatic driving vehicle does not exist in the market; the intelligent charging is the control of an electric system, voltage, current, charging time, charging and payment information are controlled, and a charging device is required to be manually connected when the intelligent charging is connected with a charging pile; the intelligent scheduling is to provide navigation information by using high-precision positioning so as to realize the guidance of the vehicle; therefore, unattended operation of the parking lot cannot be realized, the vehicles start, change positions, charge on, charge and off-line after charging according to orders, the charging efficiency cannot be balanced reasonably, and the electricity charge is saved.

Disclosure of Invention

The invention aims to provide an intelligent charging method for an automatic driving vehicle, which is used for solving the problems that the charging station condition, the vehicle condition and the charging condition cannot be effectively combined together, the purposes of intelligent scheduling charging, unattended operation and low peak-valley charging saving cannot be achieved, and the management efficiency and the charging efficiency of a charging yard are lower.

Real-time vehicle data through intelligent scheduling comprises data of a vehicle type, positioning, a vehicle speed, an SOC, an automatic parking system and an anti-collision system; real-time data of the charging system comprise voltage limiting data, current limiting data, automatic charging pile distribution data, electric pile positioning data, electric system peak-valley time periods data, unified automatic interfaces data, charging real-time monitoring data and the like; real-time data of the parking lot comprise high-precision maps, parking space real, channel monitoring, dynamic tracks and other data; the system is characterized in that overall management and control of a platform and random supervision and charging scheduling planning of the whole parking lot are added, parking, displacement, low-ebb charging, monitoring and convenient vehicle discharging arrangement are completed, and the purposes of full intelligence, no people, money saving and labor saving are achieved.

In order to realize intelligent charging scheduling, the invention provides an intelligent charging method for an automatic driving vehicle, which comprises the following steps:

1) giving out a preset charging parking space according to the current SOC value of the vehicle, the shift information of the vehicle, the distribution information of the charging parking spaces and the working state information of the charging device;

2) scheduling and arranging a quick charging vehicle in real time, instructing the vehicle to be charged to reach the position of a charging pile under the control of navigation, intelligently connecting a charging port of the vehicle by a charging device, stopping charging by the charging device when the charging SOC is full, uploading data and withdrawing a charging bow;

3) after the vehicle charging is finished, entering a next-stage transportation task to the station under the instruction of the cloud platform;

4) after the vehicle finishes the all-day operation task, under the scheduling arrangement of the cloud platform, a slow charging scheme is implemented, the vehicle arrives at a designated parking lot and a designated charging station, the intelligent gate at the door of the parking lot identifies the vehicle, and the vehicle is induced to arrive at a designated parking place;

5) the system comprehensively plans the vehicle departure sequence, the charging sequence and the valley charging time period, and arranges charging scheduling;

6) according to the arrangement of the shift information of the vehicles, charging in the valley, the number of vehicle rounds at the charging position, charging the vehicles in sequence and waking up the vehicles, and guiding the vehicles to park to the charging position of the vehicle in the previous round through the parking lot.

And further, after the current shift vehicle is controlled to run to the charging parking space of the vehicle in the previous round, the corresponding charging device is started to charge the vehicle.

Further, when the charging SOC is full, the charging device stops charging, data is uploaded, the charging arch is retracted, and charging is finished.

The charging station aims to solve the problems that in the prior art, the charging station condition, the vehicle condition and the charging condition cannot be effectively combined together, intelligent scheduling charging cannot be achieved, unattended operation cannot be achieved, low peak valley charging is achieved, money is saved, and charging yard management efficiency and charging efficiency are low. The intelligent charging method for the automatic driving vehicle specifically comprises the following steps:

1) giving out a preset charging parking space according to the SOC value of the vehicle, the shift information of the vehicle, the position distribution information of the charging parking space and the working state information of the charging device;

2) and after the vehicle reaches the parking lot where the charging station is located, guiding the vehicle to park through the parking lot to enter the preset charging parking space and controlling the corresponding charging device to charge the vehicle, wherein when the charging SOC is full, the charging device stops charging, uploads the information of the vehicle charging completion, and withdraws the charging bow.

Further, the vehicle reaches the position of the charging pile under the control of navigation, and the charging device is connected with a vehicle charging port.

Further, after the vehicle charging is finished, the cloud platform issues a task instruction according to the received information of the vehicle charging completion and the shift information of the vehicle, and the vehicle carries out a transportation task to the station according to the task instruction.

Further, when the vehicle is judged to complete the all-day running task according to the shift information of the vehicle, a scheduling instruction is given by the cloud platform according to the position distribution information of the charging parking places and the working state information of the charging device, the vehicle reaches the designated parking place and the designated charging station according to the scheduling instruction, and the vehicle is induced to the designated parking place after the designated parking place is identified.

And furthermore, according to the shift information and the valley charging time period information of the vehicles, arranging the vehicle turns of the charging positions, sequentially waking up the vehicles to be charged, and guiding the vehicles to park to the charging positions of the vehicles in the previous turn through the parking lot.

Drawings

Fig. 1 is a connection block diagram of an intelligent charging system for an autonomous vehicle.

Detailed Description

The present invention will be described in further detail with reference to the accompanying drawings.

The invention provides an intelligent charging system for an automatic driving vehicle, which comprises an intelligent traffic cloud platform 7, a charging system 5, an access control system and a vehicle guiding system, wherein the traffic cloud platform is in communication connection with the charging system, the access control system and the vehicle guiding system; the system further comprises a vehicle dispatching system 8 and a video identification system 11, wherein the vehicle dispatching system and the video identification system are both in communication connection with the charging system.

The traffic cloud platform is also used for connecting a vehicle-mounted terminal system 4 of the vehicle and a vehicle-mounted automatic parking system 1 of the vehicle so as to obtain the current SOC value, the current position information and the surrounding environment information of the vehicle; the charging system is used for acquiring the current working state of each charging device 6 and sending the working state information of each charging device to the traffic cloud platform. The traffic cloud platform obtains the charging parking spaces according to the current SOC value and the current position information of the vehicles and the working states of the charging devices in a matching mode, a quick charging scheme is implemented, quick charging is a professional term in the charging technology, is a constant-voltage, large-current and short-time charging mode, and is generally adopted for supplementing electric energy in operation.

If the traffic cloud platform acquires the shift information of the vehicle through the vehicle scheduling system, the traffic transportation platform is preferably matched with the working states of the charging devices according to the shift information of the vehicle, the distribution information of the charging parking spaces, the current SOC value and the current position information of the vehicle, so as to obtain the charging parking spaces.

And after the vehicle finishes the transportation task on the same day, the vehicle returns to the parking lot and the charging station and parks in the parking space according to the scheduling arrangement. And starting a slow charging scheme when the standby power arrives at the low peak-valley period.

The entrance guard system is used for obtaining and judging the vehicle authority, if the vehicle is allowed to enter, the vehicle is parked into the matched charging parking space through the vehicle guide system and the video recognition system in combination with the automatic parking system of the vehicle, and the charging system starts the charging device corresponding to the charging parking space to charge the vehicle. The vehicle guiding system is an electronic tag system 10, and the electronic tag system is used for being arranged in a vehicle yard; the entrance guard system is an intelligent gate system 9 and is used for being arranged at an entrance of a vehicle, the gate system comprises an image acquisition device, a feature recognition device and a gate action device, whether the vehicle is a right vehicle is judged after the image information of the vehicle is acquired and the feature is recognized, if yes, the gate is opened through the gate action device, and the vehicle is allowed to enter.

The traffic cloud platform awakens the corresponding vehicle through the vehicle-mounted terminal according to the shift information of the vehicle, and controls the vehicle to run to the charging parking space of the vehicle in the previous shift through the vehicle guiding system, the video identification system and the automatic parking system of the corresponding vehicle. And when the current vehicle runs to the charging parking space of the previous vehicle, the charging device is controlled to charge the vehicle.

The vehicle further comprises a CAN system 2 and an anti-collision system 3, and the traffic cloud platform is further used for connecting the CAN system and the anti-collision system so as to achieve vehicle anti-collision and vehicle information acquisition.

When the SOC value of the vehicle is 100%, the SOC value is fed back to the traffic cloud platform and the charging system, the charging system controls the charging device corresponding to the vehicle to stop charging, the charging device acts to withdraw the charging bow, meanwhile, the charging system 5 also checks the charging amount, and the intelligent traffic cloud platform 7 checks data, or charges electricity through a network, or charges electricity through a system.

The charging scheduling system is used for realizing an intelligent charging method for the automatic driving vehicle, and specifically comprises the following steps:

when the SOC data of a certain vehicle in the operation process and the CAN system 2 in the real-time message is smaller than a certain threshold value (generally 25%), the vehicle-mounted terminal system 4 gives an early warning to the intelligent transportation cloud platform 7, the intelligent transportation cloud platform 7 calculates and analyzes the remaining stations and mileage of the vehicle and the mileage of the fast charging pile, and whether the vehicle CAN be charged or not under the lowest safe SOC quantity.

The intelligent transportation cloud platform 7 and the charging system 5 control the working conditions of the charging piles in real time, and the charging piles are generally scheduled to empty positions or the charging piles which are to be charged are about to be completed. The method comprises the following steps that a nearest charging pile capable of being charged is issued by a vehicle dispatching system 8 to a vehicle charging instruction packet to a vehicle terminal system 4, the vehicle terminal system 4 responds to the receiving of an execution instruction, the operation is finished under navigation data issued by the vehicle dispatching system 8, generally, the nearest charging pile is located, the charging is automatically carried out, meanwhile, the charging dispatching instruction charging system 5 triggers a charging device 6 for executing a charging task to be activated, after a vehicle arrives to be positioned, interactive communication is triggered, the charging device 6 acts an automatic interface device to be in butt joint with a vehicle charging interface, and then the charging is controlled by the charging system 5; when the charging amount is full (the system cognitive SOC is 100%), the charging device 6 withdraws the charging bow, the vehicle-mounted terminal system 4 interacts with the charging device 6, the charging is confirmed to be finished, and data are reported to the intelligent transportation cloud platform 7; meanwhile, the charging system 5 checks the charging amount, checks data through the intelligent transportation cloud platform 7, or charges electricity through a network, or charges electricity through the system. The vehicle dispatching system 8 issues a new operation plan instruction packet to the vehicle-mounted terminal system 4, and the vehicle enters a new operation task, runs a route and stops according to the instruction and transports passengers.

The intelligent traffic cloud platform 7 and the charging system 5 are related, and the intelligent traffic cloud platform 7 focuses on the real-time working and air-closed states of a charging station and a pile; the charging system 5 focuses on the working state of the electric pile, the voltage, current and electric quantity conditions, and meanwhile, the idle condition is also known. The intelligent transportation cloud platform 7 knows that a certain pile works, and the charging system 5 assists the real-time charging condition of the certain pile to control the charging process.

Under the intelligent traffic cloud platform 7, a vehicle scheduling system 8 and a charging scheduling part monitor the global charging distribution in real time, and a screen of a scheduling center displays the real-time state. Meanwhile, the storage, consultation and classification of the charging big data are carried out.

The charging schedule is part of the content of the vehicle scheduling system 8, the vehicle scheduling system 8 calculates the charging time point and position for mileage and SOC data of each vehicle in a scheduling plan, and only does prediction reference because the variable of power consumption is large and the real-time SOC data of the vehicle-mounted terminal system 4 is taken as the standard. The contents can be used for big data analysis and model optimization, so that the scheduling plan tends to be accurate.

When the vehicle executes an operation task, the intelligent traffic cloud platform 7 is requested to receive the vehicle and park the vehicle yard, the action is finished by the vehicle-mounted terminal system 4 at the last station of the passenger, the passenger flow statistical system in the vehicle is determined, the request is triggered, the vehicle scheduling system 8 is used for checking the planned parking lot position of the vehicle, the vehicle-mounted terminal system 4 drives the vehicle to the parking lot according to an instruction, the intelligent gate system 9 is used for identifying the vehicle through video, the parking position information is interacted, the vehicle-mounted system is induced to complete parking under the function of the vehicle-mounted automatic parking system 1, and meanwhile, the related information data, the positioning, the track, the intelligent gate system 9, the parking induction, the data of the electronic tag system 10, the video identification system 11 and the like are uploaded to the intelligent traffic cloud platform 7, and the operation; the vehicle-mounted terminal system 4 triggers parking to finish information uploading, and after the intelligent transportation platform 7 responds, the intelligent transportation platform is put out of fire (ON fire is turned into OFF fire) and sleeps. The electronic tag system 10 is a train yard guidance content and the video recognition system 11 ensures the accuracy of data.

Furthermore, after parking of all vehicles needing parking lots is completed, the intelligent traffic cloud platform 7 is provided with parking distribution maps of all parking lots and charging stations, according to the arrangement of the vehicle scheduling system 8, the vehicles needing early charging are easy to come out, and the license plates of the vehicles in the parking lots can be known by the satellite positioning system or the video recognition system 11 at the position where the vehicles needing early charging are charged first; the second batch of charging vehicles are in the easy-to-replace position, if the second batch of charging vehicles are in the following position; after the time enters a charging peak-valley period, the intelligent traffic cloud platform 7 uses the vehicle scheduling system 8 to instruct the vehicle-mounted terminal system 4 of the first batch of charging vehicles to wake up, the charging system 5 operates at a charging position, the charging device 6 interacts with the vehicle-mounted terminal system 4, the charging device 6 is started to act, and the automatic interface device is in butt joint with a vehicle charging interface.

Further, charging is controlled according to a charging system 5; when the charging amount is full (the system cognitive SOC is 100%), the charging device 6 withdraws the charging bow, the vehicle-mounted terminal system 4 interacts with the charging device 6, the charging is confirmed to be finished, and data are reported to the intelligent transportation cloud platform 7; meanwhile, the charging system 5 checks the charging amount, checks data through the intelligent transportation cloud platform 7, or charges electricity through a network, or charges electricity through the system.

Further, the vehicle scheduling system 8 issues a new parking instruction packet to the vehicle-mounted terminal system 4, then in an automatic parking mode, under the guidance of intelligent parking scheduling, under the assistance of the electronic tag system 10 and the video recognition system 11, under the monitoring of the intelligent traffic cloud platform 7, the transposition parking after charging is completed, the vehicle-mounted terminal system 4 triggers parking completion information to upload, and after the intelligent traffic cloud platform 7 responds, the fire is put to sleep.

Further, the intelligent transportation cloud platform 7 receives a first vehicle transposition instruction, simultaneously receives a second charging instruction packet of the charging vehicle from the vehicle scheduling system 8, wakes up the vehicle-mounted terminal system 4 of the vehicle to be charged, uses an automatic parking mode according to the instruction, and receives the guidance of intelligent parking scheduling, the electronic tag system 10 and the video identification system 11 under the monitoring of the intelligent transportation cloud platform 7 to complete transposition parking of the charging requirement, the charging device 6 interacts with the vehicle-mounted terminal system 4, the charging device 6 is started to act, the automatic interface device is in butt joint with a vehicle charging interface, and then charging is controlled by the charging system 5; when the charging amount is full (the system cognitive SOC is 100%), the charging device 6 withdraws the charging bow, the vehicle-mounted terminal system 4 interacts with the charging device 6, the charging is confirmed to be finished, and data are reported to the intelligent transportation cloud platform 7; meanwhile, the charging system 5 checks the charging amount, checks data through the intelligent transportation cloud platform 7, or charges electricity through a network, or charges electricity through the system. Further, if there is a vehicle following in the same place, the vehicle scheduling system 8 issues a following instruction for the vehicle-mounted terminal system 4 following in the same place when a transposition instruction is reached, after the vehicle follows in, the vehicle-mounted terminal system 4 triggers parking to finish information uploading, and after the intelligent traffic cloud platform 7 responds, the vehicle is put out of fire and sleeps.

Further, the subsequent charging batch of vehicles, as explained above, completes the slow charging process.

The present invention has been described in relation to particular embodiments thereof, but the invention is not limited to the described embodiments. In the thought given by the present invention, the technical means in the above embodiments are changed, replaced, modified in a manner that is easily imaginable to those skilled in the art, and the functions are basically the same as the corresponding technical means in the present invention, and the purpose of the invention is basically the same, so that the technical scheme formed by fine tuning the above embodiments still falls into the protection scope of the present invention.