CN107976202A - Electric automobile minimum charge path system of selection based on wireless sensor network - Google Patents

Electric automobile minimum charge path system of selection based on wireless sensor network Download PDF

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Publication number
CN107976202A
CN107976202A CN201711122640.XA CN201711122640A CN107976202A CN 107976202 A CN107976202 A CN 107976202A CN 201711122640 A CN201711122640 A CN 201711122640A CN 107976202 A CN107976202 A CN 107976202A
Authority
CN
China
Prior art keywords
node
electric automobile
sensor network
wireless sensor
request data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201711122640.XA
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Chinese (zh)
Inventor
赵威
曹勇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
Information and Telecommunication Branch of State Grid Heilongjiang Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
Information and Telecommunication Branch of State Grid Heilongjiang Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, Information and Telecommunication Branch of State Grid Heilongjiang Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201711122640.XA priority Critical patent/CN107976202A/en
Publication of CN107976202A publication Critical patent/CN107976202A/en
Pending legal-status Critical Current

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Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/3407Route searching; Route guidance specially adapted for specific applications
    • G01C21/343Calculating itineraries, i.e. routes leading from a starting point to a series of categorical destinations using a global route restraint, round trips, touristic trips
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G06Q10/047Optimisation of routes or paths, e.g. travelling salesman problem

Abstract

Electric automobile minimum charge path system of selection based on wireless sensor network, is related to electric automobile charge path selection technique.The present invention is the electric automobile minimum charge path in order to solve not planning at present, the problem of causing electric automobile charge efficiency low.The present invention is in the charging selection course of electric automobile, based on wireless sensor network, closest chargeable charging pile position is searched out, the planning driving path that then planning connects between point realizes electric automobile and fast finds charging pile, improves electric automobile operational efficiency.The present invention is suitable for electric automobile and finds the occasion that charging pile charges.

Description

Electric automobile minimum charge path system of selection based on wireless sensor network
Technical field
The present invention relates to electric automobile charge path selection technique.
Background technology
Electric automobile is produced and used by large area, be often all configured with electric automobile wireless as new-energy automobile Communication equipment, so as in real time with carrying out telecommunication.
With electric automobile is supporting occurs that charging pile.It is various models that charging pile, which is used for according to different voltage class, Electric automobile charges.The occupation mode of charging pile all carries out successively according to field sequential or order of swiping the card, when charging pile quilt Completely in use, then posterior electric car must then carry out wait state, until preceding electric car completes charging.Due to electronic Car can not know the accurate location for the charging pile that can be charged recently, can not just plan this mode of minimal path of charging and can make Into the extension in charging interval, the charge efficiency of electric car reduces.
The content of the invention
The present invention is the electric automobile minimum charge path in order to solve not planning at present, causes electric automobile charging effect The problem of rate is low, so as to provide a kind of electric automobile minimum charge path system of selection based on wireless sensor network.
Electric automobile minimum charge path system of selection based on wireless sensor network, it is characterized in that:
Each electric automobile for being equipped with wireless telecom equipment is denoted as a radio node AP;
Each charging pile is configured into a wireless telecom equipment;Each charging pile is denoted as a radio node AP;
All radio node AP are formed in wireless sensor network;
For radio node AP, if it has sent out the communication process for finding charge path, include the following steps:
Step 1: the node AP that will initiate communication, is denoted as initiation node;
Step 2: initiating node broadcast request data packet in wireless sensor network, the request data package includes:Itself ID, itself GPS location coordinate, the time for intending charging;
Step 3: other node AP in wireless sensor network receive the request data package, other nodes are denoted as I-stage node, performs step 4;
Step 4: the i-stage node judges whether itself is charging pile respectively, if it is judged that being yes, then perform Step 4 one;If it is judged that being no, then step 5 one is performed;
Step 4 one, i-stage node write self ID, itself GPS location coordinate in request data package;When chargeable Between;Reply data bag is formed to be sent to initiation node and performing step 8;
Step 5 one, i-stage node write self ID in request data package, as new request data package;And wireless New request data package is forwarded to the other nodes for removing initiation node in sensing network, is sent out in the wireless sensor network to removing The other nodes for playing node perform step 8 as the i-stage node after renewal;
Step 8: it is incongruent wireless according to chargeable time and the time erasing time for itself intending charging to initiate node Node;
Step 9: initiating node parses received all reply data bags and according to GPS location coordinate and itself GPS location Coordinate calculate with the distance of each charging pile, and find in all distances the radio node of minimum range node as a purpose;
Step 10: initiating node by navigation system planning and the planning driving path of destination node, it is minimum to complete electric automobile Charge path selects.
The present invention is in the charging selection course of electric automobile, based on wireless sensor network, search out it is closest can Charging charging pile position, the planning driving path that then planning connects between point realize electric automobile and fast find charging pile, improve Electric automobile operational efficiency.
Embodiment
Embodiment one, electric automobile charging route selection method, it comprises the following steps:
Each electric automobile for being equipped with wireless telecom equipment is denoted as a node AP, sets the logical of each node AP Believe radius ra;
Each charging pile is configured into a wireless telecom equipment, sets the communication radius ra of charging pile;
For each node APa, if it has sent out the communication process for finding charging pile, following steps are performed:
Step 1: the node AP that will initiate communication, is denoted as initiation node;
Step 2: initiating node broadcast request data packet in its communication radius, the request data package includes:Itself ID, find charging pile request, relaying signal strength lowest threshold;
Step 3: receive the request data package, other nodes in the other node APa initiated in node communication radius The 1st grade of node is denoted as, the 1st grade of node judges whether itself is charging pile, if it is judged that being yes, then perform step Ten;If it is judged that being no, then step 4 is performed;
Step 4: the 1st grade of node reads the relaying signal strength lowest threshold in the request data package, and the letter with itself Number intensity is compared, if not less than relaying signal strength lowest threshold, performs step 5;If less than relaying signal strength most Low threshold, then the 1st grade of node exit this communication;
Step 5: the 1st grade of node in request data package, writes the ID of itself, the request data package after renewal is formed, And in its communication radius, the request data package after being updated to the other nodes forwarding for removing initiation node;And make the first duration of i For 2;
Step 6: for the i-th -1 grade node, the other node AP being communicated in radius, are denoted as i-stage node;It is described I-stage node receives the request data package after the renewal, and judges whether itself is charging pile, if it is judged that be it is yes, then Perform step 10;If it is judged that being no, then step 7 is performed;
Step 7: i-stage node reads the relaying signal strength lowest threshold in the data packet after the renewal, and and itself Signal strength be compared, if not less than relaying signal strength lowest threshold, perform step 8;If strong less than relaying signal Lowest threshold is spent, then the i-stage node exits this communication;
Step 8: the i-stage node in request data package, writes the ID of itself, the request data package after renewal is formed, And in its communication radius, the request data package after being updated to the other nodes forwarding for removing the i-th -1 grade node;
Step 9: making the value of i add 1, and return to execution step 6;
Step 10: charging pile continuously receives the request data package after N number of renewal, and the number of request before reservation after M renewal According to bag, with the ID in the request data package after renewal as final route, and include write-in self ID, current charging end in data Mouth volume residual, the longitude and latitude of own coordinate, as reply data bag, the reply data are included reverse along the route Reply data bag is sent to node is initiated, N and M are positive integer, and M is not more than N;
Step 11: initiating node continuously receives Z reply data bag, and give up current charging port in reply data bag Volume residual is 0 reply data bag;Z is positive integer;
Step 12: according to the longitude and latitude of coordinate in reply data bag, with reference to the longitude and latitude of own coordinate, meter Both air line distance is calculated, and the air line distance is arranged according to distance from the near to the remote;
Step 13: initiating node to the distance according to arrangement, user is chosen in time t first, and being answered according to corresponding The ID answered in data packet sends reservation data along corresponding route to charging pile, and the reservation data includes:Self ID, be expected Arrival time;
Step 14: corresponding charging pile receives the reservation data, and it is sent to initiation node and is sent really along corresponding route Recognize data packet, the confirmation data packet includes:Self ID, reservation arrival time;
Complete electric automobile charging Route Selection.
The present invention screens the intensity of routing node, gives up and be unsatisfactory in the routing procedure of electric automobile The node of intensity requirement.Charging pile screens the node collected again, retains in fastest and preceding M route conduct After it is achieved thereby that the reliability of communication.Meanwhile the Filtering system of the application, more nodes can be no longer participate in entirely During communication, frequency spectrum resource has largely been saved.The present invention not only realizes electric automobile and fast finds charging pile, moreover it is possible to Charging process is preengage, avoids live waiting process, the charging interval is shortened and then improves electric automobile operation effect Rate.
Embodiment two, present embodiment are electric automobile charging circuits described in embodiment one by selecting The further restriction of selection method, the chargeable time is time range.

Claims (2)

1. the electric automobile minimum charge path system of selection based on wireless sensor network, it is characterized in that:
Each electric automobile for being equipped with wireless telecom equipment is denoted as a radio node AP;
Each charging pile is configured into a wireless telecom equipment;Each charging pile is denoted as a radio node AP;
All radio node AP are formed in wireless sensor network;
For radio node AP, if it has sent out the communication process for finding charge path, include the following steps:
Step 1: the node AP that will initiate communication, is denoted as initiation node;
Step 2: initiating node broadcast request data packet in wireless sensor network, the request data package includes:Self ID, Itself GPS location coordinate, the time for intending charging;
Step 3: other node AP in wireless sensor network receive the request data package, other nodes are denoted as i-stage Node, performs step 4;
Step 4: the i-stage node judges whether itself is charging pile respectively, if it is judged that being yes, then step is performed 41;If it is judged that being no, then step 5 one is performed;
Step 4 one, i-stage node write self ID, itself GPS location coordinate in request data package;The chargeable time; Reply data bag is formed to be sent to initiation node and performing step 8;
Step 5 one, i-stage node write self ID in request data package, as new request data package;And in wireless sensing The other nodes for initiating node in network to removing forward new request data package, initiate to save to removing in the wireless sensor network Other nodes of point perform step 8 as the i-stage node after renewal;
Step 8: node is initiated according to the chargeable time and itself intends the incongruent wireless section of time erasing time to charge Point;
Step 9: initiating node parses received all reply data bags and according to GPS location coordinate and itself GPS location coordinate Calculate with the distance of each charging pile, and find in all distances the radio node of minimum range node as a purpose;
Step 10: initiating node by navigation system planning and the planning driving path of destination node, the minimum charging of electric automobile is completed Path selection.
2. the electric automobile minimum charge path system of selection according to claim 1 based on wireless sensor network, it is special For sign in step 4 one, the chargeable time is time range.
CN201711122640.XA 2017-11-14 2017-11-14 Electric automobile minimum charge path system of selection based on wireless sensor network Pending CN107976202A (en)

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Application Number Priority Date Filing Date Title
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CN109855642A (en) * 2019-02-26 2019-06-07 广州信沃达电子科技有限公司 A kind of new-energy automobile automobile charging pile finding system

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Application publication date: 20180501