CN115782670A - Charging method under new energy automobile battery replacement mode energy supplement - Google Patents

Charging method under new energy automobile battery replacement mode energy supplement Download PDF

Info

Publication number
CN115782670A
CN115782670A CN202211477491.XA CN202211477491A CN115782670A CN 115782670 A CN115782670 A CN 115782670A CN 202211477491 A CN202211477491 A CN 202211477491A CN 115782670 A CN115782670 A CN 115782670A
Authority
CN
China
Prior art keywords
battery
vehicle
charging
mileage
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
CN202211477491.XA
Other languages
Chinese (zh)
Inventor
樊瑞
李德柱
戴国豪
程涛涛
高宇清
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.)
Zeqingxin Energy Technology Co ltd
Original Assignee
Zeqingxin Energy Technology 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 Zeqingxin Energy Technology Co ltd filed Critical Zeqingxin Energy Technology Co ltd
Priority to CN202211477491.XA priority Critical patent/CN115782670A/en
Publication of CN115782670A publication Critical patent/CN115782670A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Secondary Cells (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention discloses a charging method under the condition of energy supplement in a new energy automobile battery replacement mode, and relates to the technical field of battery replacement charging; the method comprises the following steps: s1: the method comprises the steps that vehicle data are obtained through a vehicle-mounted terminal at regular time and are sent to a cloud server through an embedded network module to be stored; s2: drawing a mileage decay curve function image according to the mileage of reducing one percent of the vehicle-mounted battery Soc in the multiple driving and discharging behaviors of the battery; s3: and judging whether the vehicle is autonomously charged by the vehicle owner during the two battery replacement periods, and charging in two different charging modes according to the judgment result. The battery replacement service of the vehicle is charged in a fair and reasonable mileage calculation mode, the whole method is easy to implement, the charging reasonability can be greatly improved, the data are dynamically updated, the data can be dynamically migrated along with the loss of the battery and the change factors such as season temperature, and the like, and the authenticity and the reliability of the data are guaranteed.

Description

Charging method under new energy automobile power change mode energy supplement
Technical Field
The invention relates to the technical field of battery replacement charging, in particular to a charging method under the condition of energy supplement in a battery replacement mode of a new energy automobile.
Background
With the attention on environmental protection, electric vehicles are generally developed as one of the environmental-friendly and green transportation modes. The general application of the electric automobile is required to be based on a convenient and energy-saving battery charging and replacing service network.
At present, the standardized design of the electric vehicle charging and battery replacing operation service network is gradually improved in China, the operation service network is established on the basis of a series of front-end data, wherein vehicle-mounted information of an electric vehicle serves as a mobile service object, and an operation subject becomes an information key source. In the prior art, direct charging is usually adopted according to the number of times of battery replacement, the charging mode is the same for each time, and the charging rule is not fair; the other type of charging is carried out according to the electric power number difference value, the electric power number difference value charging needs to install a professional metering ammeter for metering the residual electric power number of the battery in the vehicle, the purchase cost of the vehicle can be greatly increased, and aiming at the operation vehicle, the increased cost forms a small burden on an operation vehicle owner. Therefore, the invention provides a battery replacement charging scheme which is used for calculating the battery cruising mileage according to the data of the vehicle-mounted terminal and the big data and taking the battery cruising mileage as the settlement basis so as to solve the problems.
Disclosure of Invention
The invention aims to provide a charging method under the new energy automobile battery replacement mode energy supplement, which charges the actual running kilometers of a client vehicle, is more scientific and accurate, and can also scientifically calculate the running mileage of a client according to the charging mode if the charging condition exists between two battery replacement so as to charge.
The invention can be realized by the following technical scheme: a charging method under the condition of energy supplement in a new energy automobile battery replacement mode comprises the following steps:
s1: data acquisition: the method comprises the steps that vehicle data are obtained through a vehicle-mounted terminal at regular time and are sent to a cloud server through an embedded network module to be stored;
s2: and (3) data analysis and processing: according to the driving mileage reduced by one percent of the vehicle-mounted battery Soc in the multi-driving discharging behavior of the battery, drawing a mileage decay curve function image with the battery temperature within a set temperature range;
s3: and judging whether the vehicle is autonomously charged by the vehicle owner in the two battery changing periods, and charging in two different charging modes according to the judgment result.
The invention has further technical improvements that: the vehicle data read by the vehicle-mounted terminal comprise the real-time speed of a vehicle, the using state of the vehicle, the Soc of a vehicle-mounted battery and the temperature of the battery, the data are packaged and sent to the cloud server in a tcp communication mode, before data acquisition is carried out, the discharging behavior of the vehicle in running is judged, and when the battery is in the running discharging behavior, acquisition is started.
The invention has further technical improvements that: the method for judging whether the battery is in the running discharge behavior comprises the following steps: and when the vehicle is in a use state, the battery is in a use state and the real-time speed of the vehicle is greater than zero, determining that the battery is in the running discharging behavior.
The invention has further technical improvements that: in the data analysis processing, one percent reduction of the vehicle-mounted battery Soc from a certain value is determined as one-time discharge behavior of the vehicle-mounted battery Soc at the corresponding value, a certain number of data samples of historical discharge times are obtained at a set temperature section, a coordinate system is established by taking the discharge behavior times as a horizontal axis and taking the driving mileage as a vertical axis, and therefore a mileage decay curve function image of the battery is drawn.
The invention has the further technical improvements that: when the vehicle does not perform charging action in the battery replacement period, charging is directly performed according to the mileage difference value of the vehicle-mounted terminal:
R=(Mn-Mp)*P
wherein Mn is the current driving mileage;
mp is the driving mileage during the last power change;
p is the mileage charging unit price;
and R represents the battery replacement cost. .
When the vehicle has a charging behavior in the battery replacement period, carrying out continuous summation calculation according to the mileage decay curve function of the battery to obtain a charging formula as follows:
Figure BDA0003959818070000031
s is the residual Soc value of the battery when the battery is replaced currently;
M S in a big data calculation mode, the next driving range is obtained based on the attenuation curve function of the vehicle-mounted battery Soc value from the S +1 to the S section in the same temperature section.
The invention has further technical improvements that: when the charging behavior exists in the battery replacement cycle of the vehicle, the number of the historical data samples does not reach the standard, the cruising mileage with the Soc value reduced by one percent from the corresponding value when all the batteries are in the set temperature range and the corresponding discharging times is extracted from the cloud server, the average value of the cruising mileage is calculated, and the average value is used as the next driving mileage.
The invention has further technical improvements that: each battery is marked with a unique serial number, is bound with a frame number of a vehicle after battery replacement installation and is unbound during battery replacement, the model number and the electricity consumption parameters of the vehicle can be obtained according to the frame number, the battery with the corresponding serial number is matched with different vehicles of the same vehicle type, the cruising mileage in the Soc value reducing process at each stage is different, the matching degree of the battery with the corresponding serial number when the battery is matched with the corresponding vehicle can be obtained according to cruising mileage performance and big data comparison analysis, and the battery with high matching degree is preferentially pushed for the vehicle to be supplied for replacement.
Compared with the prior art, the invention has the following beneficial effects:
the vehicle-mounted terminal regularly acquires vehicle data, stores the acquired data, transmits the stored data to the cloud server through the network module at specific intervals, analyzes the data according to the data uploaded by the network module, and generates a corresponding mileage data attenuation curve function after the battery discharges every time in a set temperature section, wherein the Soc value of the battery is reduced by one percent from a certain value; when the automobile needs to be charged by battery replacement, firstly, judging whether the automobile is automatically overcharged by an automobile owner in a battery replacement operation period, directly charging according to the driving mileage when the automobile owner is not charged, and continuously accumulating and summing according to the data of the mileage data attenuation curve function to obtain the kilometer number in the form of the battery replacement period when the automobile owner is charged so as to obtain a charging result; charging the battery replacement service of the vehicle by adopting a more fair and reasonable mileage calculation mode, and designing two different charging modes according to the behavior of whether a vehicle owner charges during battery replacement; when the car owner has an overcharge behavior, the driving mileage when the next Soc value is reduced by 1% is accurately estimated by using a mileage data attenuation curve function constructed by a large amount of historical data, so that the driving mileage of each unit of electric quantity of the battery is obtained, and reasonable battery replacement charging is finally obtained.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a schematic flow diagram of the process of the present invention;
FIG. 2 is a graph of the mileage decay curve function of a battery of the present invention at 20-25 ℃.
Detailed Description
To further illustrate the technical means and effects of the present invention adopted to achieve the predetermined objects, the following detailed description of the embodiments, structures, characteristics and effects according to the present invention will be made with reference to the accompanying drawings and preferred embodiments.
Referring to fig. 1-2, a charging method under the power supply mode and energy supplement of a new energy vehicle includes the following steps:
step one, data acquisition: acquiring vehicle data at regular time through a vehicle-mounted Tbox terminal, and storing the acquired data, wherein the vehicle data comprises a vehicle-mounted battery Soc, the real-time temperature of the battery and the current actual running kilometers;
step two, data analysis: obtaining driving mileage data under the Soc change value according to the electric quantity of the vehicle-mounted battery Soc with each change of a specific numerical value, and drawing a mileage decay curve function image of the battery;
and step three, judging whether the vehicle has the action of charging by the vehicle owner during the two battery changing periods, and respectively adopting two different charging modes for charging.
The new energy automobile is provided with an on-board Tbox terminal, a GPS module and a network module are arranged in the on-board Tbox terminal, the on-board Tbox terminal can also read the real-time speed of the automobile, the charging state of the automobile, the using state of a battery, the voltage of a single battery and the temperature of the single battery, the GPS module acquires the position information of the automobile and transmits the data to a cloud server through the network by using the network module, and the data transmission of the network module is realized by adopting a tcp communication mode;
each battery is marked with a number, the number is unique, and the single batteries contained in the batteries are marked according to a number-arrangement number, such as a number-x, wherein x is a positive integer;
after the vehicle is started for the first time after the battery is replaced, the replaced battery is bound with the frame number of the corresponding vehicle, the discharging behavior of the running of the vehicle is judged, the judging conditions comprise the using state of the vehicle, the using state of the battery and the real-time speed of the vehicle, and the battery is judged to be in the discharging behavior of the running only under the conditions that the vehicle is in the using state, the battery is in the using state and the real-time speed of the vehicle is greater than zero;
when the battery is judged to be in a running discharging behavior, recording a first piece of data (comprising time, an Soc value, a battery temperature and current running mileage) of the battery from starting to corresponding data when the vehicle reduces the Soc value by one percent, and calculating the mileage of the vehicle when the Soc value changes by one percent;
aiming at each battery number, establishing a planar rectangular coordinate system, taking data generated in a set battery temperature section, taking the discharge times as a horizontal axis and the running mileage as a longitudinal axis, recording the mileage number reduced from S% to (S-1)% of the running mileage within a battery swapping period in the planar rectangular coordinate system within each battery swapping period so as to form a mileage attenuation curve function image of the battery, and establishing different planar rectangular coordinate systems when the S values are different so as to obtain the mileage attenuation curve function image corresponding to the electric quantity reduced by one percent when the battery is at different Soc values; for example, fig. 2 is an image of the mileage decay curve function of Soc decreasing from one hundred percent to ninety percent at different discharge times at a battery temperature of 20 ℃ to 25 ℃;
when the Soc value of the battery currently used by the vehicle owner is reduced to the value required to be replaced, entering a battery replacement station for replacing the battery and paying the battery replacement cost of the battery used in the previous period, wherein the replacement time is automatically determined by the vehicle owner according to the running condition of the vehicle;
when charging is carried out, whether the vehicle owner has an over-autonomous charging behavior in the charging period needs to be judged firstly: because the vehicle-mounted Tbox terminal sends the data packet to the cloud server in a tcp communication manner within a set time (set to 30s in this embodiment), when the vehicle charging state in the data packet shows that the vehicle is charging, it can be accurately determined that the vehicle has performed a charging action;
when the vehicle does not perform charging action in the battery replacement period, charging is directly performed according to the difference of driving mileage acquired by the vehicle-mounted Tbox terminal, and the charging formula is as follows:
R=(Mn-Mp)*P
wherein Mn is the current driving mileage;
mp is the driving mileage when the battery is switched last time;
p is the mileage charging unit price;
and R represents the battery replacement cost.
When the vehicle has a charging behavior in the battery replacement period, performing continuous summation calculation according to a mileage decay curve function of the battery to obtain a charging formula:
Figure BDA0003959818070000061
s is the residual Soc value of the battery when the battery is replaced currently;
M S obtaining next driving range based on the battery Soc value in the same temperature range from S +1 to S in a range of a driving range attenuation curve function in a big data calculation mode;
examples are as follows: m99 is the battery's 1001 st discharge behavior at the stage Soc from 100 to 99, according to the mileage decay curve function shown in fig. 2 as the last thousand battery discharge behaviors at Soc from 100 to 99, according to the curve trace of the first 1000 function,
and calculating the 1001 st driving range.
It should be noted that, if the historical data samples in the mileage decay curve function of the current battery are less than 1000, the mileage of which the Soc value is reduced by one percent from the corresponding value at the set temperature segment and the corresponding discharge times of all the batteries is extracted from the cloud server, and the average value is calculated and used as the next driving range.
Under the condition that the communication of the network module is not smooth, data packet loss occurs, the data packet cannot be generated to the cloud server at the set time, and at the moment, a charging method when the charging action of the vehicle exists can be adopted for reducing the corresponding endurance mileage of the vehicle Soc.
After the vehicle is charged and the battery is replaced, the battery number associated with the frame number is unbundled and bound with the newly replaced battery number, the battery type is distinguished in the battery number, namely, one type of battery correspondingly supplies a vehicle type, and the significance of binding the battery number and the frame number is as follows: the method comprises the steps that the model number and related parameters of a vehicle can be obtained according to the frame number, the vehicle type is determined after the frame number is obtained, corresponding battery types which can be matched with the vehicle type are screened out, in the battery types, different battery numbers and different vehicles of the same vehicle type are matched, the endurance mileage of a Soc value in each stage reducing process is different, the matching degree of the corresponding numbered battery in matching with the corresponding vehicle can be obtained according to the endurance mileage performance and big data comparison analysis, the matching degree is measured in a set temperature range, and the Soc value reduces the capability of the endurance mileage which can be provided in each stage, so that the battery and a charged vehicle type can be preferentially matched; and a mutual exclusion blacklist is formed between the battery number with the lowest matching degree and the frame number, and the corresponding vehicle and the battery cannot be matched during the matching screening. For example, when an automobile enters a battery replacement station to replace batteries, batteries are distributed for the automobile according to the priorities of the Soc value and the matching degree, namely when the Soc values of the batteries are the same, the batteries with high matching degree can be preferentially pushed to supply for replacement, and the mode not only can improve the use effectiveness of the batteries, but also can indirectly reduce the payment cost of an owner in battery replacement.
The vehicle still carries out data acquisition and control to battery voltage, battery voltage and battery cell temperature in the driving process, to battery temperature, battery voltage and the abnormal data of battery cell temperature in the data packet, when utilizing the mileage decay curve function image of battery to carry out expense calculation, the mileage data of corresponding continuation of the journey can not enter into the calculation, and can select other normal data to replace, guarantees the accuracy of result.
When the vehicle-mounted Tbox-based battery life-prolonging data attenuation curve function is used, vehicle data are obtained at regular time through the vehicle-mounted Tbox terminal, the collected data are stored, the stored data are transmitted to the cloud server through the network module at specific intervals, analysis is carried out according to the data uploaded by the network module, and the life-prolonging mileage data attenuation curve function corresponding to the fact that the battery Soc value is reduced by one percent from a certain value after the battery discharges every time in a set temperature section is generated; when the automobile needs to be charged by the battery replacement, whether the automobile is overcharged by an automobile owner in a battery replacement operation cycle is judged, when the automobile owner does not charge the battery, the charging is directly carried out according to the driving mileage, and when the automobile owner charges the battery, the charging is carried out according to the data of the mileage data attenuation curve function, the running kilometers in the battery replacement period are obtained through continuous accumulated summation, and therefore the charging result is obtained.
Although the present invention has been described with reference to the preferred embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but is intended to cover various modifications, equivalents and alternatives falling within the spirit and scope of the invention.

Claims (8)

1. A charging method under the condition of energy supplement in a new energy automobile battery replacement mode is characterized by comprising the following steps: the method comprises the following steps:
s1: data acquisition: the method comprises the steps that vehicle data are obtained through a vehicle-mounted terminal at regular time and are sent to a cloud server through an embedded network module to be stored;
s2: and (3) data analysis and processing: according to the driving mileage reduced by one percent of the vehicle-mounted battery Soc in the multi-driving discharging behavior of the battery, drawing a mileage decay curve function image with the battery temperature within a set temperature range;
s3: and judging whether the vehicle is autonomously charged by the vehicle owner in the two battery changing periods, and charging in two different charging modes according to the judgment result.
2. The charging method under the new energy automobile battery replacement mode energy supply as claimed in claim 1, wherein the vehicle data read by the vehicle-mounted terminal include a vehicle real-time speed, a vehicle use state, a vehicle-mounted battery Soc and a battery temperature, the vehicle-mounted terminal packages the data and sends the data to the cloud server in a tcp communication mode, before data acquisition, a discharging behavior of vehicle driving is judged, and when the battery is in the discharging behavior of driving, the acquisition is started.
3. The charging method under the power replacement mode energy supplement of the new energy automobile as claimed in claim 2, wherein the method for judging whether the battery is in a running discharge behavior comprises the following steps: and when the vehicle is in a use state, the battery is in a use state and the real-time speed of the vehicle is greater than zero, determining that the battery is in the running discharging behavior.
4. The charging method under the new energy automobile battery replacement mode energy supplement as claimed in claim 1, wherein in the data analysis processing, the vehicle-mounted battery Soc is reduced by one percent from a certain value and is regarded as a primary discharging behavior of the vehicle-mounted battery Soc at a corresponding value, a certain amount of historical discharging times data samples are obtained at a set temperature range, a coordinate system is established by taking the discharging behavior times as a horizontal axis and taking the driving mileage as a vertical axis, and then a mileage decay curve function image of the battery is drawn.
5. The charging method under the power replacement mode energy supply of the new energy automobile as claimed in claim 1, wherein when the vehicle does not perform a charging action in a power replacement cycle, the charging is directly performed according to a mileage difference value of a vehicle-mounted terminal:
R=(Mn-Mp)*P
wherein Mn is the current driving mileage; mp is the driving mileage when the battery is switched last time;
p is the mileage charging unit price; and R represents the battery replacement cost.
6. The charging method under the battery replacement mode energy supplement of the new energy automobile as claimed in claim 4, wherein when the vehicle has a charging behavior in a battery replacement period, the charging is obtained by performing continuous summation calculation according to a mileage decay curve function of the battery, and the charging formula is as follows:
Figure FDA0003959818060000021
s is the residual Soc value of the battery when the battery is replaced currently;
M S in a big data calculation mode, the next driving range is obtained based on the attenuation curve function of the vehicle-mounted battery Soc value from the S +1 to the S section in the same temperature section.
7. The charging method under the new energy automobile battery replacement mode energy supplement as claimed in claim 6, wherein when the vehicle has a charging behavior in a battery replacement cycle and the number of historical data samples does not meet the standard, the cruising range of which the Soc value is reduced by one percent from the corresponding value at the set temperature segment and the corresponding discharge times of all batteries is extracted from the cloud server, the average value of the cruising range is calculated, and the average value is used as the next driving range.
8. The charging method under the new energy automobile battery replacement mode energy supplement of claim 1, wherein each battery is marked with a unique number, is bound with a frame number of a vehicle after battery replacement installation and is unbound during battery replacement, the model number and the electricity consumption parameters of the vehicle can be obtained according to the frame number, the endurance mileage of the battery corresponding to the number and different vehicles of the same type matched in the Soc value reduction process at each stage is different, the matching degree of the battery corresponding to the number when matched with the corresponding vehicle can be obtained according to the endurance mileage performance and big data comparison analysis, and the battery with high matching degree is preferentially pushed to supply for battery replacement.
CN202211477491.XA 2022-11-23 2022-11-23 Charging method under new energy automobile battery replacement mode energy supplement Pending CN115782670A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211477491.XA CN115782670A (en) 2022-11-23 2022-11-23 Charging method under new energy automobile battery replacement mode energy supplement

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211477491.XA CN115782670A (en) 2022-11-23 2022-11-23 Charging method under new energy automobile battery replacement mode energy supplement

Publications (1)

Publication Number Publication Date
CN115782670A true CN115782670A (en) 2023-03-14

Family

ID=85440687

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211477491.XA Pending CN115782670A (en) 2022-11-23 2022-11-23 Charging method under new energy automobile battery replacement mode energy supplement

Country Status (1)

Country Link
CN (1) CN115782670A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116596171A (en) * 2023-07-19 2023-08-15 四川轻化工大学 Traceable battery recycling and power conversion optimization method, system and terminal based on block chain

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116596171A (en) * 2023-07-19 2023-08-15 四川轻化工大学 Traceable battery recycling and power conversion optimization method, system and terminal based on block chain
CN116596171B (en) * 2023-07-19 2023-10-20 四川轻化工大学 Traceable battery recycling and power conversion optimization method, system and terminal based on block chain

Similar Documents

Publication Publication Date Title
CN102745201B (en) Estimation method for remainder mileage of electric automobile
US9791514B2 (en) Recycled secondary battery supply forecast system and recycled secondary battery supply forecast usage
US9217779B2 (en) Method and system for obtaining degradation of battery using degradation model and parameters related to the degradation
CN114084032B (en) Battery exchange system, computer program medium, management server, and battery management method
US10807493B1 (en) Vehicle battery pack and battery exchange system
CN102756661A (en) Determination method and device for state of charge of vehicular battery
US11211666B2 (en) Vehicle battery pack and battery exchange system
CN111775772B (en) Vehicle and battery matching method, device and system and readable storage medium
CN112116133A (en) Method, system, device and storage medium for optimizing scheduling of shared battery replacement system
CN110605982A (en) Method and device for charging electric automobile
CN111806291B (en) Vehicle and battery matching method, device and system and readable storage medium
CN111497682A (en) Battery pack group intelligent management system and method and battery pack monitoring and diagnosing device
CN110542866A (en) method for estimating residual electric quantity parameter of battery
CN115782670A (en) Charging method under new energy automobile battery replacement mode energy supplement
CN102133888A (en) Operation System for Providing Backup Batteries for Hybrid Vehicles and/Or Electric Vehicles and Method Thereof
CN114722595A (en) Micro-grid optimized operation method containing power conversion station
CN110531277A (en) A kind of battery management system of band estimation electric automobile power battery service life function
CN113428159A (en) Vehicle energy consumption analysis method
CN109808538A (en) Battery system is shared by the new energy vehicle of power consumption charging
WO2020208654A1 (en) Electric vehicle charging management system and method
CN117035357A (en) Charging and discharging scheduling method for electric taxi team in energy-traffic
CN114084045B (en) Power battery life cycle management method
CN113611902B (en) Method and device for calculating total residual energy of hydrogen fuel cell vehicle
CN114919456B (en) Automobile battery charging and discharging management system based on big data
CN115619514B (en) Electricity switching operation platform and method for multi-driver combined vehicle

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination