CN108556661B - Active charging early warning and reservation method for electric automobile - Google Patents
Active charging early warning and reservation method for electric automobile Download PDFInfo
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- CN108556661B CN108556661B CN201810366643.6A CN201810366643A CN108556661B CN 108556661 B CN108556661 B CN 108556661B CN 201810366643 A CN201810366643 A CN 201810366643A CN 108556661 B CN108556661 B CN 108556661B
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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
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- 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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- 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
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
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Abstract
The invention discloses an active charging early warning method for an electric vehicle, which consists of a battery management module, a charging station detection and selection module, a low electric quantity monitoring early warning module, an auxiliary reservation module, a vehicle-mounted navigation module and an information display module. Acquiring the residual electric quantity (SOC) information of the power battery in real time by using a battery management system, transmitting the SOC information of the power battery to a low electric quantity monitoring and early warning module in real time through a CAN (controller area network) bus, and calculating the residual endurance mileage of the current electric automobile; confirm the distance to the nearest charging station of electric automobile in real time through vehicle navigation system, with this distance information transmission to the not enough monitoring module of electric quantity, compare the difference between the remaining continuation of the journey mileage of electric automobile and the nearest charging station distance of electric automobile in real time, if the difference of distance is less than or equal to the monitoring module in advance when the warning judgement condition that charges, send out the not enough warning suggestion of electric quantity through the early warning module, help the driver to accomplish the initiative early warning monitoring at the moment of charging, effectively solve safety problems such as vehicle breakdown and battery overdischarge, promote electric automobile's trip quality.
Description
Technical Field
The invention relates to an active charging early warning and reservation method for an electric automobile, in particular to a method for providing charging early warning and reservation aid decision for an electric automobile driver by combining vehicle road information.
Background
The rapid development of the electric automobile can effectively reduce the exhaust emission of the automobile, reduce the consumption of petroleum resources and drive the development of a series of related industries. However, the development of electric vehicles is also influenced by a series of constraints, wherein the 'mileage anxiety' is considered to be one of the main obstacles facing the wide acceptance of pure electric vehicles. Compared with the attributes of the traditional automobile vehicle, the electric automobile has more requirements on manufacturers, industrial chains and use environments due to the characteristics of dependence on a charging system, limitation on endurance mileage, intellectualization and the like. In the traveling process of an urban road, an existing user often faces the situation that a vehicle cannot smoothly reach a destination due to failure of timely charging, or the problem that the road is broken down due to misjudgment of charging in the traveling process of a driver, or the situation that the performance is seriously reduced due to over-discharge of a battery due to failure of timely charging, and the situation causes that an electric automobile driver is often in an anxiety state in the actual traveling process.
The electric vehicle charging early warning research mainly focuses on two aspects of early warning mode research and early warning condition setting. The currently applied electric vehicle charging early warning method does not combine the vehicle mileage information and the relative distance information from the charging station, does not consider the individual difference of the driver in the early warning of the charging time, and does not solve the problems of electric vehicle breakdown, battery overdischarge and the like caused by the misjudgment of the charging time of the driver. Meanwhile, a plurality of methods and mobile phone APP applications are applied to charging reservation, but the functions of the APP applications only consider the charging reservation, neglect the charging requirements of the electric automobile, and do not realize the organic combination of charging early warning and reservation. How to combine car road information, realize charging reservation and route planning based on the demand of charging to effectively solve driver's mileage anxiety, and improve the utilization efficiency who fills electric pile, become the current problem that needs to solve urgently.
Disclosure of Invention
The invention aims to provide a method for combining vehicle path information, assisting a driver in judging the charging time and completing intelligent charging reservation and path planning based on the charging requirement.
The invention provides an electric vehicle active charging early warning and reservation method which comprises a battery management system, an insufficient electric quantity monitoring module, an early warning module, an information display module, electric vehicle charging reservation APP software and a charging station management platform.
1) The method comprises the steps that the position information of a charging station and charging piles in the station is in butt joint with electric vehicle charging reservation APP software through the internet technology, and the reservation software is utilized to complete the retrieval task of the position information of the target charging pile.
2) The charging early warning judgment condition (10% -20% of the total driving mileage) is reasonably set by combining different individual attributes and cognitive differences aiming at a driver group, wherein the individual basic attributes mainly comprise information such as age, sex, occupation, character and the like, and the cognitive attributes comprise expected mileage, driving age and familiarity of Electric Vehicles (EV).
3) The method comprises the steps of acquiring SOC information of a power battery in real time through a battery management system, transmitting the SOC information to an insufficient electric quantity monitoring module through a CAN bus, calculating the driving range of the current electric automobile, and calculating the driving time of the current electric automobile according to the current speed information.
4) The electric vehicle charging reservation APP software comprehensively considers the road real-time road condition information, the relative distance between the vehicle and the nearby charging stations, the number of the remaining charging piles in the charging stations, the queuing waiting time of the charging piles and other influence factors, and the target charging pile is selected by using the embedded digital map.
5) And then, calculating the relative distance between the electric automobile and the target charging pile by using a distance calculation module between two points in the charging reservation APP software, and transmitting the distance information to the insufficient electric quantity monitoring module in real time through mobile phone Bluetooth communication.
6) The monitoring module for the insufficient electric quantity compares the driving range of the current electric automobile and the difference between the relative distance between the electric automobile and the target charging pile in real time, compares the driving range with the charging early warning condition in real time, sends an early warning instruction to the early warning module if the difference between the driving range and the target charging pile is smaller than or equal to the charging early warning condition, sends a charging reservation request to the electric automobile charging reservation APP software, and otherwise, continuously carries out early warning monitoring at the charging moment.
7) The early warning module receives the early warning instruction that the electric quantity is not enough and the monitoring module sent, through providing pronunciation and light early warning suggestion, helps the driver to accomplish the electric automobile initiative early warning task that charges.
8) The charging reservation APP software receives a charging request sent by the insufficient-power monitoring module, information interaction with a charging station management platform is achieved in a GPRS wireless communication mode, auxiliary reservation service of the target charging pile is completed, and then a route planning module in the charging reservation APP software is used for planning an optimal path leading to the target charging pile according to real-time road condition information.
9) Charging reservation APP software sends the charging pile information to be reserved and the optimal path leading to the target charging pile to an insufficient electric quantity monitoring module through mobile phone Bluetooth communication, the monitoring module displays the reservation information and the path plan in real time through an information display module to solicit the satisfaction degree of an automobile owner to the reservation information, if the automobile owner is not satisfied, steps 4 and 8 are executed again to complete secondary reservation of the target charging pile until the automobile owner is satisfied, otherwise, the automobile owner sends reservation confirmation information to the charging reservation APP software to complete charging reservation service.
10) The information display module displays the current state information of the electric automobile, wherein the current state information of the electric automobile comprises battery SOC information, current driving range and driving time information of the electric automobile, position information of the electric automobile and a target charging pile, distance information of the electric automobile and the target charging pile, reservation information of the target charging pile and an optimal path for driving to the charging pile.
Drawings
The invention will be described in further detail below with reference to the accompanying drawings:
fig. 1 is a system architecture of an active charging pre-warning and reservation system of an electric vehicle;
FIG. 2 is an index system selected for a target charging pile;
fig. 3 is a logic diagram of target charging pile booking and path planning.
The present invention will now be described in detail with reference to the following drawings, which respectively describe three aspects of the architecture of the active charging early warning and reservation system of the electric vehicle, the index system selected by the target charging pile, and the target charging pile reservation and path planning logic.
Fig. 1 is a system architecture of an active charging early warning and reservation system of an electric vehicle according to the present invention, which includes an insufficient electric quantity monitoring module 1, electric vehicle charging reservation APP software 2, a battery management system 3, an early warning module 4, an information display module 5, and a charging station management platform 6.
In the system, firstly, the SOC information of the vehicle-mounted power battery is acquired in real time through the battery management system 3, the SOC information is transmitted to the insufficient electric quantity monitoring module 1 through the CAN bus, the insufficient electric quantity monitoring module 1 estimates the current driving range and driving time information of the electric automobile through the SOC information and the vehicle speed information, and transmits the battery SOC information, the driving range and the driving time information of the electric automobile to the information display module 5.
The target charging pile selection needs to comprehensively consider road real-time road condition information, the relative distance between a vehicle and a nearby charging station, the number of remaining charging piles in the charging station, the queuing waiting time of the charging piles and other factors, and a digital map embedded in the electric vehicle charging reservation APP software 2 is used for completing a charging pile selection task; and then, the distance calculation module between two points in the charging reservation APP software 2 is utilized to complete the calculation of the relative distance between the electric automobile and the target charging pile, and the distance information is transmitted to the insufficient electric quantity monitoring module 1 in real time through mobile phone Bluetooth communication.
The insufficient electric quantity monitoring module 1 receives the current driving range of the electric automobile and the relative distance information between the electric automobile and the target charging pile, compares the distance difference between the electric automobile and the target charging pile in real time, compares the distance difference with the insufficient electric quantity safety threshold set in the monitoring module 1, sends out an insufficient electric quantity early warning prompt through the early warning module 4 when the difference between the electric automobile and the target charging pile is less than or equal to the safety threshold, and sends a charging reservation request to the electric automobile charging reservation APP software 2.
When the early warning module 4 receives the early warning instruction sent by the monitoring module 1 for insufficient electric quantity, the early warning module provides voice and light (LED lamp) early warning prompts to assist a driver to complete an active early warning prompt task for insufficient electric quantity of the electric automobile.
When the electric vehicle charging reservation APP software 2 receives a charging request sent by the insufficient-power monitoring module 1, information interaction with the charging station management platform 6 is achieved through a GPRS wireless communication mode (meanwhile, each charging station uploads in-station data information to the charging station management platform 6 in real time through a wireless network, wherein the data information comprises the use condition of each charging pile, the serial number information of each charging pile and the like), a driver is helped to complete auxiliary reservation service of the target charging pile, and then a path planning module in the charging reservation APP software 2 plans an optimal path leading to the target charging pile according to real-time road condition information (two factors of time and distance need to be comprehensively considered for selection of the optimal path, and the distance does not exceed the driving range of the current electric vehicle).
The electric automobile charging reservation APP software 2 sends the charging pile information to be reserved and the optimal path of the charging pile driving to the target to the monitoring module 1 for insufficient electric quantity through mobile phone Bluetooth communication, the monitoring module 1 displays the reservation information and the path planning in real time through the information display module 5, the reservation information comprises the position information of the charging pile, the number of the charging pile and vehicle owner confirmation reply information, a vehicle owner can look up the reservation information to obtain the satisfaction degree of the vehicle owner on the reservation information, if the vehicle owner is unsatisfied with the reservation information, secondary selection and secondary reservation of the target charging pile are carried out again until the vehicle owner is satisfied, otherwise, the vehicle owner sends the confirmation information to the charging reservation APP software 2, and the charging reservation service is completed.
The information display module 5 displays the current state information of the electric automobile in real time, wherein the current state information of the electric automobile comprises battery SOC information, current driving range and driving time information of the electric automobile, position information of the electric automobile and a target charging pile, distance information of the electric automobile and the target charging pile and an optimal path to the target charging pile, and the information display module 5 is shared with a display module (LCD screen) in an electric automobile vehicle-mounted navigation system.
Fig. 2 is an index system selected by the target charging pile, influence factors selected by the target charging pile include real-time road condition information, relative distance between a vehicle and a nearby charging station, charging pile queuing waiting time and idle charging pile conditions, and the electric vehicle charging reservation APP software comprehensively considers the influence factors to complete the selection work of the target charging pile.
The road real-time road condition information is a short name of a traffic information channel and is divided into three levels of congestion, slow running and smooth running according to the congestion condition of the current road. And taking a data interface of real-time road conditions of the Baidu map API platform as an acquisition way of the real-time road condition information.
The method comprises the steps that the position information of the current electric automobile is determined in real time through a positioning module in a digital map embedded in charging reservation APP software; the POI peripheral retrieval service module is used for continuously adjusting the retrieval radius to complete the retrieval task of the peripheral charging station by taking the position information of the current electric automobile as a retrieval center and taking one third of the driving range of the current electric automobile as an initial retrieval radius; and calculating the relative distance between the electric automobile and each nearby charging station by using the distance calculation module between the two points. And comparing the distance between the electric automobile and each nearby charging station with the current driving range of the electric automobile, and dividing the relative distance into three levels, namely, the driving range is larger than the driving range, the driving range is smaller than the driving range and the driving range is equal to the driving range.
According to the quantity information of the electric vehicles in the charging state, the capacity information of the batteries, the charged quantity information of the batteries and the magnitude of the charging current, the queuing waiting time of each charging pile in the charging station can be estimated, and the waiting time is divided into two levels of a receivable range and an unreceivable range.
The number of idle electric pile that fills in the station is updated in real time to each peripheral charging station of electric automobile, uploads charging station management platform with this data information simultaneously, and electric automobile reservation APP that charges accomplishes the butt joint with this platform, acquires the number of idle electric pile that fills in real time, and it fills two grades to divide into idle electric pile and the no idle electric pile that fills with this information.
And constructing an index system selected by the target charging pile, respectively determining the weight of each index, and providing an alternative scheme for completing the selection of the target charging pile for the electric vehicle charging reservation APP software through a fuzzy matter element analysis method.
FIG. 3 is a logic diagram of target charging pile booking and path planning, when the early warning module outputs an early warning prompt, the low-power monitoring module sends a charging request booking to the electric vehicle charging booking APP software, the charging booking APP software first judges whether the selected charging pile is the target charging pile, if not, the target charging pile is selected again, otherwise, information interaction with a charging station management platform is realized through a GPRS wireless communication mode, the charging station management platform judges whether the selected target charging pile is matched with the model of the power battery, if so, the charging pile is booked, meanwhile, the optimal path planning is completed by the path planning module with the target charging pile as a destination, if not, whether charging waiting is performed is judged, if charging waiting is performed, the charging pile booking and the optimal path planning are completed, otherwise, and skipping the charging pile locked last time, and performing secondary selection and secondary reservation on the target charging pile until the reservation is completed.
Claims (1)
1. An active charging early warning and reservation method for an electric vehicle is characterized by comprising the following steps:
acquiring residual electric quantity SOC information of the power battery in real time by using a battery management system, transmitting the residual electric quantity SOC information of the power battery to an electric quantity shortage monitoring module in real time through a CAN bus, calculating the driving range of the current electric automobile, and calculating the driving time of the current electric automobile according to the speed information;
the road real-time road condition information is a short name of a traffic information channel and is divided into three levels of congestion, slow running and smooth running according to the congestion condition of the current road;
comprehensively considering road real-time road condition information, the relative distance between a vehicle and a nearby charging station, the number of remaining charging piles in the charging station and the queuing waiting time of the charging piles, and completing the selection of a target charging pile by using a digital map embedded in the charging reservation APP software; then, the distance calculation module between two points in the charging reservation APP software is used for calculating the relative distance between the electric automobile and the target charging pile, and the distance information is transmitted to the insufficient electric quantity monitoring module in real time through Bluetooth communication;
the electric quantity shortage monitoring module receives the current driving mileage of the electric vehicle and the relative distance information between the current driving mileage of the electric vehicle and the target charging pile, compares the distance difference between the driving mileage and the target charging pile in real time, compares the distance difference with a charging early warning judgment condition set in the electric quantity shortage monitoring module according to individual attributes and cognitive differences, sends out an electric quantity shortage early warning prompt through the early warning module when the distance difference between the driving mileage and the charging early warning judgment condition is smaller than or equal to the charging early warning judgment condition, and simultaneously sends a charging reservation request to electric vehicle charging reservation APP software;
the charging early warning judgment condition is reasonably set according to different individual attributes and cognitive differences aiming at a driver group, wherein the individual attributes mainly comprise age, gender, occupation and character, and the cognitive differences comprise expected mileage, driving age and the familiarity of the electric automobile;
the electric vehicle charging reservation APP software receives a charging request sent by the insufficient electric quantity monitoring module, information interaction between the electric vehicle and a charging station management platform is achieved in a GPRS wireless communication mode, target charging pile auxiliary reservation service is completed, then a route planning module in the charging reservation APP software plans an optimal path leading to a target charging pile according to real-time road condition information, and reserved charging pile information and the optimal path leading to the target charging pile are sent to the insufficient electric quantity monitoring module through Bluetooth communication;
the information display module receives the residual electric quantity SOC information of the power battery, the current driving range and driving time information of the electric automobile, the road real-time road condition information, the position information of the electric automobile and the target charging pile, the relative distance information of the electric automobile and the target charging pile, the reserved charging pile information and the optimal path of the target charging pile are displayed in real time, a vehicle owner can look up the reserved charging information to obtain the satisfaction degree of the vehicle owner on the reserved charging information, if the vehicle owner is unsatisfied with the reserved charging information, secondary selection and secondary reservation of the target charging pile are carried out again until the vehicle owner is satisfied, otherwise, confirmation information is sent to charging reservation APP software, and charging reservation service is completed.
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| US12117498B2 (en) | 2019-08-14 | 2024-10-15 | Honda Motor Co., Ltd. | System and method for presenting electric vehicle charging options based on a predicted charging speed |
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| US12117498B2 (en) | 2019-08-14 | 2024-10-15 | Honda Motor Co., Ltd. | System and method for presenting electric vehicle charging options based on a predicted charging speed |
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