CN112529396A - Data processing method based on index analysis of new energy automobile - Google Patents
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Abstract
A data processing method based on new energy automobile index analysis solves the problem that the existing calculation method of the power consumption rate cannot well reflect the service condition of a battery, and belongs to the field of data analysis of vehicle monitoring platforms. The method of the invention comprises the following steps: the monitoring platform obtains the electricity consumption rate of the vehicle in hundred kilometers by using the obtained data and the electricity consumption rate calculation model, wherein the electricity consumption rate calculation model is as follows:
or
W represents the electricity consumption rate of one hundred kilometers, Sigma Delta Q represents the accumulated electricity consumption value of one hundred kilometers, V represents the terminal acquisition frequency, G represents the base number of the dead weight of the vehicle, G represents the load, T represents the weight of the vehicle1Indicating the ambient temperature, T2Represents the battery temperature, and a represents the attenuation coefficient. The invention improves the parameters required by index analysis of the new energy vehicle, including the influence of vehicle weight index and battery temperature on the operation index,corresponding coefficients are added in the model for adjustment, so that more accurate calculation data is obtained.
Description
Technical Field
The invention relates to a data processing method based on new energy automobile index analysis, and belongs to the field of vehicle monitoring platform data analysis.
Background
The new energy automobile is a novel automobile type in recent years, all host factories are put into production and sale, and when the new energy automobile is used, a vehicle model established through vehicle battery data can help people to well analyze the battery use condition of the new energy automobile. The new energy automobile is provided with a vehicle-mounted terminal for sending vehicle operation data to the monitoring platform in real time. The monitoring platform can acquire information such as battery electric quantity, battery temperature, vehicle speed and mileage through the terminal.
The existing method for calculating the power consumption value of a vehicle in hundred kilometers comprises the following steps:
if more accurate power consumption statistics are to be obtained, the data acquisition frequency can be refined, the power consumption of one hundred kilometers is calculated for each data acquisition, and then a formula is utilized:
more accurate power consumption rate of hundred kilometers is obtained.
The calculation of the power consumption rate cannot well reflect the use condition of the battery in practical application, when the vehicle bears heavy weight, the power consumption per hundred kilometers inevitably increases, and when the temperature of the operating environment is too low, the power reduction inevitably increases.
Disclosure of Invention
The invention provides a new energy automobile index analysis-based data processing method for calculating power consumption, aiming at the problem that the existing power consumption calculation method cannot well reflect the service condition of a battery.
The invention discloses a data processing method based on index analysis of a new energy automobile, which comprises the following steps:
s1, the monitoring platform acquires the vehicle weight base number and the load of the vehicle, and acquires the electric quantity and the mileage of a vehicle battery at a fixed frequency by using the terminal;
s2, the monitoring platform obtains the electricity consumption rate of the vehicle per hundred kilometers by using the data obtained in S1 and an electricity consumption rate calculation model, wherein the electricity consumption rate calculation model is as follows:
wherein W represents the electricity consumption rate of one hundred kilometers, Delta Q represents the electricity consumption value of one hundred kilometers, Sigma Delta Q represents the accumulated electricity consumption value of one hundred kilometers, V represents the terminal acquisition frequency, G represents the base number of the self weight of the vehicle, and G represents the load.
The invention also provides a data processing method based on index analysis of the new energy automobile, which comprises the following steps:
s1, the monitoring platform acquires the vehicle weight base number and the load of the vehicle, and acquires the battery capacity, the battery temperature, the mileage and the environment temperature of the vehicle at a fixed frequency by using the terminal;
s2, the monitoring platform obtains the electricity consumption rate of the vehicle per hundred kilometers by using the data obtained in S1 and an electricity consumption rate calculation model, wherein the electricity consumption rate calculation model is as follows:
wherein W represents the electricity consumption rate of one hundred kilometers, Delta Q represents the electricity consumption value of one hundred kilometers, Sigma Delta Q represents the accumulated electricity consumption value of one hundred kilometers, V represents the terminal acquisition frequency, G represents the base number of the dead weight of the vehicle, G represents the load, and T represents1Indicating the ambient temperature, T2Represents the battery temperature, and a represents the attenuation coefficient.
The invention has the beneficial effects that: the method improves the parameters required by index analysis of the new energy vehicle, including the influence of the vehicle-mounted weight index and the battery temperature on the operation index, and adds corresponding coefficients in the model for adjustment aiming at the influence of the vehicle load and the vehicle battery operation environment temperature, thereby obtaining more accurate calculation data.
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FIG. 1 is a schematic flow chart of the present invention in embodiment 1;
fig. 2 is a schematic flow chart of embodiment 2 of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
The invention is further described with reference to the following drawings and specific examples, which are not intended to be limiting.
Example 1, as shown in fig. 1, a power consumption rate processing method based on index analysis of a new energy vehicle according to the present embodiment includes:
the method comprises the following steps that firstly, a monitoring platform obtains the vehicle weight base number and the load of a vehicle, and the terminal is used for collecting the electric quantity and the mileage of a vehicle battery at a fixed frequency;
secondly, the monitoring platform obtains the electricity consumption rate of the vehicle in hundred kilometers by using the data and the electricity consumption rate calculation model obtained in the first step; the power consumption calculation model of the present embodiment is:
wherein W represents the electricity consumption rate of one hundred kilometers, Delta Q represents the electricity consumption value of one hundred kilometers, Sigma Delta Q represents the accumulated electricity consumption value of one hundred kilometers, V represents the terminal acquisition frequency, G represents the base number of the self weight of the vehicle, and G represents the load.
in the embodiment, for the vehicle load, the load-bearing coefficient is added on the basis of the formula 2, namely, the formula 2 is divided by the load-bearing coefficient, so that the calculation error caused by the load-bearing factor can be eliminated, and the formula 3 is obtained. The new energy vehicle index analysis method and the new energy vehicle index analysis system improve the required parameters of new energy vehicle index analysis, include the influence of vehicle-mounted weight indexes on operation indexes, and adjust the vehicle load bearing influence by adding corresponding coefficients in a formula, so that more accurate calculation data are obtained.
Embodiment 2, as shown in fig. 2, a data processing method based on index analysis of a new energy vehicle includes:
the method comprises the following steps that firstly, a monitoring platform obtains the vehicle weight base number and the load of a vehicle, and a terminal is used for collecting the battery capacity, the battery temperature, the mileage and the environment temperature of the vehicle at a fixed frequency;
step two, the monitoring platform obtains the electricity consumption rate of the vehicle in hundred kilometers by using the data obtained in the step one and an electricity consumption rate calculation model, wherein the electricity consumption rate calculation model is as follows:
wherein W represents a power consumption rate of one hundred kilometers,
represents a power consumption value of one hundred kilometers,. DELTA.Q represents a power consumption value of one hundred kilometers, Q1Indicating the starting charge of the vehicle battery, Q2Represents the end electric quantity of the vehicle battery, and deltaS represents the starting-stopping mileage; sigma Delta Q represents the accumulated hundred kilometers of power consumption value, V represents the terminal acquisition frequency, G represents the vehicle dead weight base number, G represents the load, and T represents1Indicating the ambient temperature, T2Represents the battery temperature, and a represents the attenuation coefficient;
In the present embodiment, for the operating environment temperature, the coefficient is defined as (1+ (standard temperature-environment temperature) × attenuation coefficient) × 100%, where the attenuation coefficient is a parameter that needs to be obtained through experiments and in which the electric quantity of the battery attenuates at different temperatures, and the influence of the environment temperature on the power consumption of the vehicle can be eliminated by multiplying the above coefficient by formula 3, so as to obtain formula 4.
The influence of the battery temperature on the operation index is added in the embodiment, the temperature index does not acquire real-time temperature to participate in calculation, but the battery characteristics are considered, the electrolyte is influenced by the temperature to have different transmission speeds, the output power of the battery is directly influenced, but the battery temperature is influenced by the ambient temperature besides self heat generation, and therefore calculation is carried out according to the current temperature of the battery and the ambient temperature difference value.
The new energy vehicle index analysis method and device improve required parameters of new energy vehicle index analysis, the required parameters comprise vehicle-mounted weight indexes and influences of battery temperature on operation indexes, and corresponding coefficients are added in a formula for adjustment aiming at influences of vehicle bearing and vehicle battery operation environment temperature, so that more accurate calculation data are obtained.
Although the invention herein has been described with reference to particular embodiments, it is to be understood that these embodiments are merely illustrative of the principles and applications of the present invention. It is therefore to be understood that numerous modifications may be made to the illustrative embodiments and that other arrangements may be devised without departing from the spirit and scope of the present invention as defined by the appended claims. It should be understood that features described in different dependent claims and herein may be combined in ways different from those described in the original claims. It is also to be understood that features described in connection with individual embodiments may be used in other described embodiments.
Claims (4)
1. The data processing method based on new energy automobile index analysis is characterized by comprising the following steps:
s1, the monitoring platform acquires the vehicle weight base number and the load of the vehicle, and acquires the electric quantity and the mileage of a vehicle battery at a fixed frequency by using the terminal;
s2, the monitoring platform obtains the electricity consumption rate of the vehicle per hundred kilometers by using the data obtained in S1 and an electricity consumption rate calculation model, wherein the electricity consumption rate calculation model is as follows:
wherein W represents the electricity consumption rate of one hundred kilometers, Delta Q represents the electricity consumption value of one hundred kilometers, Sigma Delta Q represents the accumulated electricity consumption value of one hundred kilometers, V represents the terminal acquisition frequency, G represents the base number of the self weight of the vehicle, and G represents the load.
2. The data processing method based on index analysis of new energy vehicles according to claim 1, characterized in that, in the power consumption calculation model,
wherein Q1Indicating the starting charge of the vehicle battery, Q2Indicating the end charge of the vehicle battery and deltas the start-stop mileage.
3. The data processing method based on new energy automobile index analysis is characterized by comprising the following steps:
s1, the monitoring platform acquires the vehicle weight base number and the load of the vehicle, and acquires the battery capacity, the battery temperature, the mileage and the environment temperature of the vehicle at a fixed frequency by using the terminal;
s2, the monitoring platform obtains the electricity consumption rate of the vehicle per hundred kilometers by using the data obtained in S1 and an electricity consumption rate calculation model, wherein the electricity consumption rate calculation model is as follows:
wherein W represents the electricity consumption rate of one hundred kilometers, Delta Q represents the electricity consumption value of one hundred kilometers, Sigma Delta Q represents the accumulated electricity consumption value of one hundred kilometers, V represents the terminal acquisition frequency, G represents the base number of the dead weight of the vehicle, G represents the load, and T represents1Indicating the ambient temperature, T2Represents the battery temperature, and a represents the attenuation coefficient.
4. The data processing method based on index analysis of new energy vehicles according to claim 3, characterized in that, in the power consumption calculation model,
wherein Q1Indicating the starting charge of the vehicle battery, Q2Indicating the end charge of the vehicle battery and deltas the start-stop mileage.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114312472A (en) * | 2022-03-10 | 2022-04-12 | 智能网联汽车(山东)协同创新研究院有限公司 | Winter battery use control system based on new energy automobile |
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Application publication date: 20210319 |