CN106143208A - A kind of pure electronic logistic car control system based on big data analysis and its implementation - Google Patents
A kind of pure electronic logistic car control system based on big data analysis and its implementation Download PDFInfo
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- CN106143208A CN106143208A CN201510168031.2A CN201510168031A CN106143208A CN 106143208 A CN106143208 A CN 106143208A CN 201510168031 A CN201510168031 A CN 201510168031A CN 106143208 A CN106143208 A CN 106143208A
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Abstract
The invention discloses a kind of pure electronic logistic car control system based on big data analysis and its implementation, solve control program and cannot obtain the working environment that vehicle is chronically at, and the problem being adjusted.The present invention includes for obtaining vehicle operation data and controlling the entire car controller of vehicle actual motion, with the mutual SIM900A module that entire car controller realizes vehicle operation data, and realize the mutual of vehicle operation data with SIM900A module by CPRS and vehicle operation data is carried out the server of calculating process.The present invention can regulate and control parameter with the running environment of collection vehicle, it is achieved pure electronic logistic car is dynamic property and the perfect adaptation of economy under various operating modes, it is achieved adapts to the accurate control of external environment condition.
Description
Technical field
The invention belongs to Novel pure electric vehicle engineering field, relate to a kind of pure electronic logistic car control system based on big data analysis and its implementation.
Background technology
In the face of exhaust emission standard and the further scarcity of petroleum resources of increasingly stringent, in the urgent need to developing the new forms of energy power vehicle of efficient energy-saving.Pure electric vehicle replaces petroleum resources source due to zero-emission and with electric energy, becomes current research focus.
Current pure electronic logistic car control method is that entire car controller completes closed loop by the operation of driver.Generally entire car controller is in vehicle runs, and calculating current car load by parameters such as collection driving position on off state, pedal aperture, battery voltage information and speeds needs torque/power.Vehicle, based on on-off control or based on state control, is controlled by the control technology of current pure electronic logistic car according to set control strategy.
But the impact that the consideration external environment condition that existing control technology is few (such as road conditions, driver driving custom, vehicle load) is on full-vehicle control.Owing to not having relevant information, control mode can only be run according to set parameter.This results in when some road conditions (as climb and fall is more) need to export bigger car load dynamic property, and due to the restriction of integrated vehicle control tactics, output power is restricted；Some road conditions (as level road blocks up) need frequent start-stop, and the staring torque given due to integrated vehicle control tactics is excessive, causes vehicle to be shaken, and drives discomfort, and so on.
Above-mentioned control problem, is cannot to obtain working environment that vehicle is chronically at and the compromise control mode taked causes due to control program after all.
Summary of the invention
It is an object of the invention to provide a kind of pure electronic logistic car control system based on big data analysis and its implementation, the whole vehicle information that this control system can obtain according to each pure electronic logistic car long-play collection, it is analyzed in conjunction with the real time information such as live load, weather, obtain the optimum full-vehicle control parameter of Current vehicle, and run by this state modulator vehicle, to obtain dynamic property and the economy of optimum.
To achieve these goals, the technical solution used in the present invention is as follows:
A kind of pure electronic logistic car control system based on big data analysis, including for obtaining vehicle operation data and controlling the entire car controller of vehicle actual motion, with the mutual SIM900A module that entire car controller realizes vehicle operation data, and realize the mutual of vehicle operation data with SIM900A module by CPRS and vehicle operation data is carried out the server of calculating process.
The implementation method of a kind of pure electronic logistic car control system based on big data analysis, comprises the following steps:
(1) entire car controller obtains vehicle operation data, and is analyzed calculating by SIM900A module in vehicle operation data being uploaded onto the server；
(2) server is calculated analytically, it is determined that vehicle operation data, the need of optimizing details, is, then combine load-carrying, grade information and regulate data in real time, then by SIM900A by mass transfer entire car controller under the vehicle operation data after regulation；No, then directly reach entire car controller by under vehicle operation data；
(3), after entire car controller receives the vehicle operation data that server passes down, control vehicle according to corresponding vehicle operation data and travel by this vehicle operation data.
Further, when there being many cars to be associated, the entire car controller of each car is both needed to upload onto the server the vehicle operation data of this car, is analyzed the basic parameter drawing in vehicle operation data for server according to the different pieces of information that many cars feed back, then carries out the operation of step (2).
Yet further, described vehicle operation data includes the demarcation of pedal calibrating parameters, motor maximum moment, motor speed parameter.
The present invention compared with prior art, has the following advantages and beneficial effect:
The present invention uses GPRS mechanics of communication, is analyzed by the big data obtained by long-time collection car load data, it is thus achieved that pure electronic logistic car operating mode is distributed, and combines the real-time status of vehicle, adjusts control strategy, refines whole control.Control method based on the present invention can realize pure electronic logistic car dynamic property and perfect adaptation of economy under various operating modes, it is achieved adapts to the accurate control of external environment condition.
Detailed description of the invention
Below in conjunction with embodiment, the invention will be further described, and embodiments of the present invention include but not limited to the following example.
Embodiment
A kind of pure electronic logistic car control system based on big data analysis, including for obtaining vehicle operation data and controlling the entire car controller of vehicle actual motion, with the mutual SIM900A module that entire car controller realizes vehicle operation data, and realize the mutual of vehicle operation data with SIM900A module by CPRS and vehicle operation data is carried out the server of calculating process.
The implementation method of a kind of pure electronic logistic car control system based on big data analysis, comprises the following steps:
(1) entire car controller obtains vehicle operation data, and is analyzed calculating by SIM900A module in vehicle operation data being uploaded onto the server；
(2) server is calculated analytically, it is determined that vehicle operation data, the need of optimizing details, is, then combine load-carrying, grade information and regulate data in real time, then will reach entire car controller under the vehicle operation data after regulation by SIM900A；No, then directly reach entire car controller by under vehicle operation data；
(3), after entire car controller receives the vehicle operation data that server passes down, control vehicle according to corresponding vehicle operation data and travel by this vehicle operation data.
When there being many cars to be associated, the entire car controller of each car is both needed to upload onto the server the vehicle operation data of this car, it is analyzed the basic parameter drawing in vehicle operation data for server according to the different pieces of information that many cars feed back, then carries out the operation of step (2).This situation mainly considers that logistics vehicles runs on same panel region or same road conditions, then can pass through consistency operation, select many logistic cars to be associated, data summarization is carried out data analysis, it is thus achieved that the distribution of these road conditions.By the data of many cars, greatly reduce sampling required time, improve the degree of accuracy controlling parameter.
Vehicle operation data mentioned in the present invention includes the demarcation of pedal calibrating parameters, motor maximum moment, motor speed parameter etc..
Why the present invention can gather above-mentioned data and primary concern is that situations below:
Pedal calibrating parameters: pure electronic logistic car pedal signal is the voltage of 0～5V, receives different voltage signals according to entire car controller, resolves and obtains different tread depths.The discordance making due to pedal and installing at present, causes in different vehicle, and when driver steps on identical tread depths, the voltage signal that entire car controller receives difference, driver steps on the tread depths of reality to cause entire car controller to judge.
According to big data analysis, each the car minimum pedal voltage more than 0V can be obtained and less than 5V the highest pedal voltage, using the two value as the electricity district, dead band (i.e. tread depths is the voltage v1 corresponding to 0%) of pedal and aperture voltage (i.e. tread depths is the voltage v2 corresponding to 100%), thus it is possible not only to accurately judge driver's tread depths, and take full advantage of the actual application stroke of pedal, improve the precision of control.Wherein, tread depths=(v2-v1)/v2.
Motor speed parameter: be distributed by the motor speed in the actual operation that collects, the cruise speed setting value in adjustment programme.
Be distributed by the motor speed in the actual operation that collects, motor torque climbing can be adjusted, make speed reach as soon as possible vehicle in this region conventional interval.
Motor maximum moment is demarcated: by interval and ratio, the maximum moment setting value in adjustment programme at the maximum moment place in the actual operation that collects.Concrete regulative mode is as follows: first gather motor torque data, it is determined that motor torque is distributed, and when motor maximum moment interval proportion is more than 10%, then increases maximum motor moment；When motor maximum moment interval proportion≤10% and >=5%, keep former maximum motor force moment preserving；When motor maximum moment interval proportion is less than 5%, then reduce maximum motor moment.
By above-mentioned parameter Real-time Collection and adjustment, thus vehicle control parameters is carried out real-time optimization.
The present invention can regulate and control parameter with the running environment of collection vehicle, it is achieved pure electronic logistic car is dynamic property and the perfect adaptation of economy under various operating modes, it is achieved adapts to the accurate control of external environment condition.
According to above-described embodiment, the present invention just can be realized well.What deserves to be explained is; on the premise of designing based on said structure, for solving same technical problem, even if some made in the present invention are without substantial change or polishing; the essence of the technical scheme used is still as the present invention, therefore it should also be as within the scope of the present invention.
Claims (4)
1. a pure electronic logistic car control system based on big data analysis, it is characterized in that, including for obtaining vehicle operation data and controlling the entire car controller of vehicle actual motion, with the mutual SIM900A module that entire car controller realizes vehicle operation data, and realize the mutual of vehicle operation data with SIM900A module by GPRS and vehicle operation data is carried out the server of calculating process.
2. the implementation method of a kind of based on big data analysis the pure electronic logistic car control system described in claim 1, it is characterised in that comprise the following steps:
(1) entire car controller obtains vehicle operation data, and is analyzed calculating by SIM900A module in vehicle operation data being uploaded onto the server；
(2) server is calculated analytically, it is determined that vehicle operation data, the need of optimizing details, is, then combine load-carrying, grade information and regulate data in real time, then will reach entire car controller under the vehicle operation data after regulation by SIM900A module；No, then directly reach entire car controller by under vehicle operation data；
(3), after entire car controller receives the vehicle operation data that server passes down, control vehicle according to corresponding vehicle operation data and travel by this vehicle operation data.
A kind of pure electronic logistic car control system based on big data analysis the most according to claim 2, it is characterized in that, when there being many cars to be associated, the entire car controller of each car is both needed to upload onto the server the vehicle operation data of this car, it is analyzed the basic parameter drawing in vehicle operation data for server according to the different pieces of information that many cars feed back, then carries out the operation of step (2).
A kind of pure electronic logistic car control system based on big data analysis the most according to claim 3, it is characterised in that described vehicle operation data includes the demarcation of pedal calibrating parameters, motor maximum moment, motor speed parameter.
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| CN201510168031.2A CN106143208A (en) | 2015-04-10 | 2015-04-10 | A kind of pure electronic logistic car control system based on big data analysis and its implementation |
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Cited By (1)
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| CN108556683A (en) * | 2018-04-20 | 2018-09-21 | 江铃汽车股份有限公司 | A kind of new energy vehicle ride comfort optimization method based on big data |
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Application publication date: 20161123 |