A charging method under the energy replenishment of the battery swapping mode for new energy vehicles

Abstract

The present invention discloses a charging method for a new energy vehicle under the energy replenishment of the battery swapping mode, which relates to the technical field of battery swapping charging; the method includes the following steps: S1: Timely obtain vehicle data through an in-vehicle terminal and send it to a cloud server for storage through an embedded network module; S2: According to the driving mileage when the vehicle-mounted battery Soc decreases by one percent during multiple driving and discharging behaviors of the battery, draw an image of the cruising range attenuation curve function; S3: Determine whether the vehicle owner has performed autonomous charging during two battery swaps, and adopt two different charging modes for charging according to the judgment result. A more fair and reasonable mileage calculation method is used to charge for the battery swapping service of the vehicle. The whole method is easy to implement, and can greatly improve the rationality of charging. Moreover, the data is dynamically updated and can be dynamically migrated with factors such as battery loss and seasonal temperature changes, ensuring the authenticity and reliability of the data.

Description

Technical Field

[0001] The present invention relates to the technical field of battery swapping charging, and specifically to a charging method for energy replenishment in the battery swapping mode of new energy vehicles. Background Art

[0002] With the emphasis on environmental protection, electric vehicles have generally developed as one of the environmentally friendly green transportation methods. The widespread application of electric vehicles must rely on a convenient and energy-saving charging and battery swapping service network.

[0003] Currently, the standardized design of the domestic electric vehicle charging and battery swapping operation service network is gradually improving. The operation service network is built on a series of front-end data, among which the on-vehicle information of electric vehicles, as the mobile service object and operation entity, becomes the key source of information. In the prior art, it is usually charged directly according to the number of battery swaps. This charging method charges the same amount each time, and the charging rule is not fair. Another method is to charge according to the difference in the number of electricity degrees. Charging according to the difference in the number of electricity degrees requires installing a professional electricity meter for measuring the remaining electricity degrees of the battery in the vehicle, which will greatly increase the purchase cost of the vehicle. For operating vehicles, this increased cost poses a significant burden on the vehicle owners. Therefore, the present invention proposes a battery swapping charging scheme that calculates the battery's available driving range based on on-vehicle terminal data combined with big data and uses the battery driving mileage as the settlement basis to solve such problems. Summary of the Invention

[0004] The purpose of the present invention is to provide a charging method for energy replenishment in the battery swapping mode of new energy vehicles, which charges according to the actual driving kilometers of the customer's vehicle, and the charging is more scientific and accurate. It also includes the situation where if there is charging between two battery swaps, the driving mileage of the customer can be scientifically calculated according to this charging method and then charged.

[0005] The present invention can be realized through the following technical solutions: A charging method for energy replenishment in the battery swapping mode of new energy vehicles, the method comprising the following steps:

[0006] S1: Data acquisition: Regularly obtain vehicle data through the on-vehicle terminal and send it to the cloud server for storage through the embedded network module;

[0007] S2: Data analysis and processing: According to the driving and discharging behaviors of the battery multiple times, draw the function image of the driving range attenuation curve within the set temperature range of the battery temperature based on the driving mileage when the on-vehicle battery Soc decreases by one percent each time;

[0008] S3: Determine whether the vehicle has been independently charged by the owner during the period between two battery swaps, and adopt two different charging modes for charging according to the judgment result.

[0009] A further technical improvement of the present invention lies in that: the vehicle data read by the vehicle terminal includes the vehicle's real-time speed, vehicle usage status, on-vehicle battery Soc, and battery temperature, and the data is packaged and sent to the cloud server through tcp communication. Before data collection, the discharge behavior of the vehicle during driving is first determined. When the battery is in the driving discharge behavior, the collection starts.

[0010] A further technical improvement of the present invention lies in that: the method for judging that the battery is in the driving discharge behavior is as follows: when the vehicle is in the usage state, the battery is in the usage state, and the vehicle's real-time speed is greater than zero, it is determined that the battery is in the driving discharge behavior.

[0011] A further technical improvement of the present invention lies in that: in data analysis and processing, reducing the on-vehicle battery Soc by one percent from a certain value is recognized as a single discharge behavior of the on-vehicle battery at the corresponding value. A data sample of a certain number of historical discharge times is obtained in the set temperature range. Taking the number of discharge behaviors as the horizontal axis and the driving mileage as the vertical axis to establish a coordinate system, thereby drawing the function image of the battery's endurance mileage decay curve.

[0012] A further technical improvement of the present invention lies in that: when the vehicle does not perform a charging behavior within the battery swapping cycle, the charging is directly based on the mileage difference of the vehicle terminal:

[0013] R = (Mn - Mp) * P

[0014] Wherein, Mn is the current driving mileage;

[0015] Mp is the driving mileage at the last battery swap;

[0016] P is the unit price for mileage charging;

[0017] R represents the battery swapping cost.

[0018] When the vehicle has a charging behavior within the battery swapping cycle, the charging is calculated by continuous summation according to the battery's endurance mileage decay curve function. The charging formula is:

[0019]

[0020] Wherein, S is the remaining Soc value of the battery when the current battery swap is performed;

[0021] M S is, under the big data calculation method, based on the on-vehicle battery Soc value from S + 1 to S in the same temperature range in the endurance mileage decay curve function, the next available driving mileage is obtained.

[0022] A further technical improvement of the present invention lies in that when there is a charging behavior during the battery swapping cycle of the vehicle and the number of historical data samples fails to reach the standard, the cruising range when the Soc value of all batteries decreases by one percentage point at the set temperature range and corresponding discharge times is extracted from the cloud server and its average value is calculated, and this average value is used as the next available driving range.

[0023] A further technical improvement of the present invention lies in that each battery is marked with a unique number and is bound to the vehicle identification number after battery swapping installation and is unbound during battery swapping. According to the vehicle identification number, the model and power consumption parameters of the vehicle can be obtained. The cruising range of the battery with the corresponding number is different when it is matched with different vehicles of the same model during the reduction process of the Soc value at each stage. According to the cruising range performance and big data comparison and analysis, the matching degree of the battery with the corresponding number when it is matched with the corresponding vehicle can be obtained, and batteries with a high matching degree are preferentially pushed to the vehicle for supply and replacement.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] The present invention regularly obtains vehicle data through an in-vehicle terminal and stores the collected data. The stored data is transmitted to the cloud server through a network module at specific intervals. Based on the data uploaded by the network module, an attenuation curve function of the cruising range data corresponding to the Soc value of the battery decreasing by one percent after each discharge at the set temperature range is generated; when the vehicle needs to be billed for battery swapping, it is first judged whether the vehicle has been charged by the owner during the battery swapping operation cycle. When the owner has not charged, the billing is directly based on the driving mileage. When the owner has charged, the number of kilometers traveled during the battery swapping period is obtained by continuously accumulating and summing according to the data of the cruising range data attenuation curve function, so as to obtain the billing result; a more fair and reasonable mileage calculation method is adopted to bill the vehicle's battery swapping service, and two different billing mode designs are carried out according to whether the owner has charged during the battery swapping period; when the owner has a charging behavior, the cruising range data attenuation curve function constructed by a large amount of historical data is used to accurately estimate the driving mileage when the Soc value decreases by 1% next time, so as to obtain the driving mileage per unit power of the battery, and finally a reasonable battery swapping billing is obtained. The whole method is easy to implement, can greatly improve the rationality of charging, and the data is dynamically updated and can be dynamically migrated with factors such as battery loss and seasonal temperature changes, ensuring the authenticity and reliability of the data. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0027] Figure 1 It is a schematic flowchart of the method of the present invention;

[0028] Figure 2 It is the function image of the battery endurance mileage attenuation curve within 20°C to 25°C of the present invention. Specific embodiments

[0029] To further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following combines the accompanying drawings and preferred embodiments to detail the specific embodiments, structures, features and their effects according to the present invention as follows.

[0030] Please refer to Figure 1-2 As shown, a charging method under the battery swapping mode of a new energy vehicle includes the following steps:

[0031] Step 1: Data collection: Regularly obtain vehicle data through the in-vehicle Tbox terminal and store the collected data. The vehicle data includes the in-vehicle battery Soc, battery real-time temperature, and current actual driving kilometers.

[0032] Step 2: Data analysis: According to the power when the in-vehicle battery Soc changes by a specific value, obtain the driving mileage data under the Soc change value, and thus draw the function image of the battery endurance mileage attenuation curve.

[0033] Step 3: Determine whether the vehicle owner has charged the vehicle by himself during the period between two battery swaps, and adopt two different charging modes for charging respectively.

[0034] The new energy vehicle is equipped with an in-vehicle Tbox terminal and built-in GPS module and network module. The in-vehicle Tbox terminal also reads the vehicle real-time speed, vehicle charging status, battery usage status, single battery voltage and single battery temperature. The GPS module obtains the vehicle position information and uses the network module to transmit the above data to the cloud server through the network. The data transmission of the network module is realized by tcp communication mode.

[0035] Each battery is marked with a unique number, and the single batteries included in the battery are marked according to "number - arrangement serial number", such as "number - x", where x is a positive integer.

[0036] After the vehicle is first started after battery swapping, the replaced battery is bound to the vehicle identification number of the corresponding vehicle, and the discharge behavior of the vehicle is judged. The judgment conditions include vehicle usage status, battery usage status and vehicle real-time speed. Only when the vehicle is in the usage state, the battery is in the usage state and the vehicle real-time speed is greater than zero, it is judged that the battery is in the driving discharge behavior.

[0037] When the battery is determined to be in the driving discharge behavior, record the first data of the battery from startup (including time, Soc value, battery temperature, and current driving mileage), and the corresponding data when the vehicle reduces the Soc value by 1%. Calculate the mileage traveled by the vehicle when the Soc value changes by 1%.

[0038] For each battery number, establish a rectangular coordinate system. Take the data generated within the set battery temperature range. Use the number of discharge times as the horizontal axis and the driving kilometers as the vertical axis. In each battery swapping cycle, record the mileage traveled when the Soc value decreases from S% to (S - 1)% within the rectangular coordinate system, thereby forming the function image of the battery's endurance mileage decay curve. When the S value is different, different rectangular coordinate systems are established, so as to obtain the function images of the endurance mileage decay curves corresponding to a 1% reduction in battery power at different Soc values; for example Figure 2 That is, when the battery temperature is between 20°C and 25°C, the function image of the endurance mileage decay curve when the Soc decreases from 100% to 90% at different discharge times

[0039] When the Soc value of the currently used battery needs to be replaced and has dropped to the required level, the vehicle enters the battery swapping station for battery swapping and pays the battery swapping fee for the previous cycle. The replacement timing is determined by the vehicle owner according to the driving conditions of the vehicle;

[0040] When calculating the battery swapping fee, it is necessary to first determine whether the vehicle owner has had an independent charging behavior during the battery swapping cycle: Since the in-vehicle Tbox terminal will send data packets to the cloud server in tcp communication mode within the set time period (set to 30s in this embodiment), when the vehicle charging status in the data packet shows that the vehicle is charging, it can be accurately determined that the vehicle has performed a charging behavior;

[0041] When the vehicle has not performed a charging behavior during the battery swapping cycle, the charging is directly calculated based on the difference in the driving mileage obtained by the in-vehicle Tbox terminal. The charging formula is:

[0042] R = (Mn - Mp) * P

[0043] Where Mn is the current driving mileage;

[0044] Mp is the driving mileage at the previous battery swapping;

[0045] P is the unit price for mileage charging;

[0046] R represents the battery swapping fee.

[0047] When the vehicle has a charging behavior during the battery swapping cycle, the charging is calculated by continuous summation according to the function of the battery's endurance mileage decay curve. The charging formula is:

[0048]

[0049] Among them, S is the remaining Soc value of the battery when battery swapping is currently performed;

[0050] M S is the next available driving range obtained based on the battery Soc values from S + 1 to S in the available driving range decay curve function under the same temperature range in the big data calculation method;

[0051] The following is an example: M99 represents the 1001st discharge behavior of the battery when Soc ranges from 100 to 99. According to the Figure 2 shown available driving range data decay curve function of the first 1000 battery discharge behaviors when Soc ranges from 100 to 99, based on the trajectory of the first 1000 function curves,

[0052] the available driving range for the 1001st time is calculated.

[0053] It should be noted that if the historical data samples in the available driving range decay curve function of the current battery are less than 1000, then all batteries' available driving ranges when the Soc value decreases by one percentage point at the set temperature range and corresponding discharge times are extracted from the cloud server, and their average value is calculated, and this average value is used as the next available driving range.

[0054] In the case of poor communication of the network module, data packet loss may occur, and the data packet cannot be sent to the cloud server within the set time. At this time, the charging method when the vehicle has a charging behavior can also be adopted for the corresponding reduction of the vehicle's available driving range due to the decrease in Soc.

[0055] After the vehicle pays for battery replacement, the battery number associated with the vehicle identification number (VIN) is unbound and then bound to the newly replaced battery number. The battery types are differentiated in the battery number, that is, one type of battery corresponds to one vehicle model. The significance of binding the battery number to the VIN is as follows: according to the VIN, the vehicle model and related parameters can be obtained. After obtaining the VIN, the vehicle model is determined and the corresponding battery type that can match it is screened out. Among this battery type, different battery numbers are matched with different vehicles of the same model, and the cruising ranges are different during the reduction process of the State of Charge (Soc) value at each stage. According to the cruising range performance and big data comparison and analysis, the matching degree of the battery with the corresponding number when it is matched with the corresponding vehicle can be obtained. This matching degree measures the ability to provide cruising range during the reduction of the Soc value at each stage within the set temperature range, so as to prioritize the matching of the battery and the charging vehicle model. Moreover, a mutually exclusive blacklist is formed between the battery number with the lowest matching degree and the VIN. During the above matching and screening, the corresponding vehicle and battery will not be matched. For example, when a vehicle enters a battery replacement station for battery replacement, the battery is allocated to the vehicle according to the priority of the Soc value and the matching degree. That is, when the Soc values of the batteries are the same, the battery with a high matching degree will be preferentially pushed for supply and replacement. This method can not only improve the utilization efficiency of the battery, but also indirectly reduce the payment cost of the vehicle owner during battery replacement.

[0056] During the vehicle's driving process, data collection and monitoring of the battery voltage, single-cell battery temperature, and battery temperature are also carried out. For the abnormal data of the battery temperature, battery voltage, and single-cell battery temperature in the data packet, when calculating the cost using the function image of the cruising range attenuation curve of the battery, the corresponding cruising range data will not be included in the calculation, but other normal data will be selected for substitution to ensure the accuracy of the result.

[0057] When the present invention is in use, the vehicle data is regularly obtained through the in-vehicle Tbox terminal, and the collected data is stored. The stored data is transmitted to the cloud server through the network module at specific intervals. Based on the data uploaded by the network module, an attenuation curve function of the cruising range data corresponding to the reduction of the battery Soc value by 1% after each discharge of the battery within the set temperature range is generated. When the vehicle needs to be billed for battery replacement, it is first judged whether the vehicle has been charged by the vehicle owner during the battery replacement operation cycle. If the vehicle owner has not charged, the billing is directly based on the driving mileage. If the vehicle owner has charged, the number of kilometers traveled during the battery replacement period is obtained by continuously accumulating and summing according to the data of the cruising range data attenuation curve function, so as to obtain the billing result.

[0058] The above are only the preferred embodiments of the present invention and do not impose any form of limitation on the present invention. Although the present invention has been disclosed above with the preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to equivalent embodiments with equivalent changes within the scope of the technical solution of the present invention. However, as long as it does not depart from the content of the technical solution of the present invention, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A charging method under the energy replenishment of the battery swapping mode for new energy vehicles, characterized in that: The method includes the following steps: S1: Data collection: Regularly obtain vehicle data through an in-vehicle terminal and send it to a cloud server for storage through an embedded network module; S2: Data analysis and processing: According to the driving and discharging behavior of the battery multiple times, for every one percent decrease in the vehicle-mounted battery Soc during driving, draw an image of the function curve of the driving range attenuation when the battery temperature is within a set temperature range; S3: Determine whether the vehicle has been autonomously charged by the owner during two battery replacements, and adopt two different charging modes for charging according to the judgment result; In data analysis and processing, a one percent decrease in the vehicle-mounted battery Soc from a certain value is regarded as one discharging behavior of the vehicle-mounted battery at the corresponding value. Obtain a data sample of a certain number of historical discharging times in the set temperature range. Establish a coordinate system with the number of discharging behaviors as the horizontal axis and the driving range as the vertical axis, so as to draw an image of the function curve of the driving range attenuation of the battery; When the vehicle does not perform a charging behavior during the battery replacement cycle, directly charge according to the mileage difference of the in-vehicle terminal: Among them, is the current driving mileage; is the driving mileage at the last battery replacement; P is the unit price for mileage charging; R represents the battery replacement cost; When the vehicle has a charging behavior during the battery replacement cycle, perform continuous summation calculation according to the function curve of the driving range attenuation of the battery to obtain the charging amount. The charging formula is: P where S is the remaining Soc value of the battery when the current battery replacement is performed; Under the big data computing method, based on the battery Soc value of the vehicle-mounted battery in the same temperature range from S+1 to S segment in the cruising range attenuation curve function, the next available driving range is obtained.

2. The charging method under the energy replenishment of the new energy vehicle battery swapping mode according to claim 1, wherein, The vehicle data read by the in-vehicle terminal includes the vehicle's real-time speed, vehicle usage status, vehicle-mounted battery Soc, and battery temperature, and the data is packed and sent to the cloud server through tcp communication. Before data collection, first determine the discharging behavior of the vehicle during driving. When the battery is in the driving and discharging behavior, start the collection.

3. The charging method under the energy replenishment of the new energy vehicle battery swapping mode according to claim 2, wherein The method for judging that the battery is in the driving and discharging behavior is: When the vehicle is in the usage state, the battery is in the usage state and the vehicle's real-time speed is greater than zero, it is determined that the battery is in the driving and discharging behavior.

4. A charging method under the energy replenishment of the new energy vehicle battery swapping mode according to claim 1, characterized in that When the vehicle has a charging behavior during the battery replacement cycle and the number of historical data samples does not meet the standard, extract all the driving ranges when the Soc value of all batteries decreases by one percentage point at the set temperature range and corresponding discharging times from the cloud server and calculate their average value, and use this average value as the next available driving range.

5. The charging method under the energy replenishment of the new energy vehicle battery swapping mode according to claim 1, wherein, Each battery is marked with a unique number and is bound to the vehicle's frame number after battery replacement installation and is unbound during battery replacement. According to the frame number, the vehicle model and power consumption parameters can be obtained. The driving ranges of the corresponding numbered batteries are different when cooperating with different vehicles of the same model during the reduction process of the Soc value at each stage. According to the driving range performance and big data comparison and analysis, the matching degree of the corresponding numbered battery when cooperating with the corresponding vehicle can be obtained, and the battery with a high matching degree is preferentially pushed to the vehicle for supply and replacement.

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