CN117922302A - Safe driving control method and device, electronic equipment, storage medium and vehicle - Google Patents
Safe driving control method and device, electronic equipment, storage medium and vehicle Download PDFInfo
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Classifications
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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
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/12—Recording operating variables ; Monitoring of operating variables
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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
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
- B60L3/0046—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to electric energy storage systems, e.g. batteries or capacitors
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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
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
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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
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
- B60L2240/545—Temperature
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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
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
- B60L2240/547—Voltage
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The application discloses a safe driving control method, a safe driving control device, electronic equipment, a storage medium and a vehicle, wherein the method comprises the steps of obtaining initial performance data of the vehicle; the vehicle initial performance data comprise vehicle performance parameters corresponding to the initial state of the vehicle; setting a safety control threshold value for limiting the vehicle control state according to the vehicle initial performance data; acquiring current performance data of a vehicle; adjusting vehicle performance parameters corresponding to the current state of the vehicle according to the current performance data of the vehicle; according to the current performance data of the vehicle and the initial performance data of the vehicle, adjusting a safety control threshold value for limiting the control state of the vehicle; the vehicle current performance data comprises generating vehicle current performance data according to historical data of the vehicle performance data; the history data includes history data of vehicle failure data corresponding to a vehicle handling state. Through the scheme, the running state of the vehicle is monitored, the safety threshold is set, and the fault risk is prevented.
Description
Technical Field
The present application relates to the field of safe driving, and in particular, to a safe driving control method, a safe driving control device, an electronic device, a storage medium, and a vehicle.
Background
Because the vehicle-mounted battery equipment belongs to a part sensitive to the aging state, the influence on the safety of the vehicle is large, and the situation of the battery needs to be paid attention to at any time. However, the full life cycle of a vehicle lacks sufficient control basis and control means for a vehicle owner, especially the vehicle owner user of a new vehicle, is limited in performance to relieve the safety risk of battery equipment, lacks reasonable basis, and reduces the expectation of good driving feeling.
Therefore, a scheme for safe driving control is needed, the safe driving mode of a new vehicle owner is evaluated according to the vehicle data and control data of the existing vehicle owner and the occurrence of fault events, the actual accumulated data of the vehicle is utilized, and the safe driving data of the vehicle is iteratively optimized, so that the vehicle owner can obtain effective safe control when the data is lacking in the new vehicle stage and after the data is rich, and the safety accidents of the vehicle are reduced.
Disclosure of Invention
The invention aims to provide a vehicle event data recorder storage control method, a vehicle event data recorder storage control device, electronic equipment, a storage medium and a vehicle, and at least solves one technical problem.
The invention provides the following scheme:
according to an aspect of the present invention, there is provided a safe driving control method including:
Acquiring initial performance data of a vehicle;
the vehicle initial performance data comprise vehicle performance parameters corresponding to the initial state of the vehicle;
setting a safety control threshold value for limiting the vehicle control state according to the vehicle initial performance data;
acquiring current performance data of a vehicle;
adjusting vehicle performance parameters corresponding to the current state of the vehicle according to the current performance data of the vehicle;
According to the current performance data of the vehicle and the initial performance data of the vehicle, adjusting a safety control threshold value for limiting the control state of the vehicle;
The vehicle current performance data comprises generating vehicle current performance data according to historical data of the vehicle performance data;
the history data includes history data of vehicle failure data corresponding to a vehicle handling state.
Further, the historical data of the vehicle fault data corresponding to the vehicle control state includes:
Positioning a collection object vehicle and a data collection range of the historical data according to the correlation or/and the similarity of the initial performance data of the vehicles;
Screening a safety control threshold value of a vehicle control state, corresponding current performance data of the vehicle and initial performance data of the vehicle according to the vehicle fault data;
And adjusting the safety control threshold for limiting the vehicle control state according to the screened safety control threshold of the vehicle control state, the corresponding current performance data of the vehicle and the corresponding initial performance data of the vehicle.
Further, the vehicle failure data includes: temperature fault data, voltage fault data and SOC fault data of the vehicle-mounted battery;
setting health level data of temperature, voltage and SOC of the vehicle-mounted battery equipment according to the vehicle fault data;
setting a tolerance safety threshold of the vehicle-mounted battery equipment according to the health level data of the vehicle temperature, the voltage and the SOC;
monitoring the associated influence of the vehicle running state and the temperature, voltage or/and SOC health level of the vehicle-mounted battery equipment;
Setting a safety threshold of the vehicle running state according to the tolerance safety threshold and the associated influence of the vehicle running state and the temperature, voltage or/and SOC health level of the vehicle-mounted battery equipment;
and setting a safety control threshold of the vehicle control state according to the safety threshold of the vehicle running state.
Further, the method further comprises the following steps:
Acquiring sample data of the historical data;
Constructing a machine learning model and model training according to sample data of the historical data, and setting a safety control threshold of the vehicle control state;
acquiring sample data of the historical data of the vehicle;
and according to sample data of the historical data of the vehicle, iterating a machine learning model, and adjusting a safety control threshold of the vehicle control state.
Further, the temperature fault data includes:
Acquiring thermal management efficiency information of the vehicle-mounted battery equipment and safety temperature limit value information of the vehicle-mounted battery equipment;
Setting a working temperature interval threshold of the vehicle-mounted battery equipment according to the thermal management efficiency information and the safety temperature limit value information of the vehicle-mounted battery equipment;
controlling the vehicle performance parameter according to the temperature interval threshold;
the vehicle performance parameters include a maximum sustained power that the vehicle is allowed to currently output;
the vehicle performance parameters further comprise information that the vehicle-mounted battery equipment triggers sending of the detection request.
Further, the voltage fault data includes:
Acquiring charging management information of the vehicle-mounted battery equipment and safety voltage limit value information of the vehicle-mounted battery equipment;
setting a charging voltage limit threshold value and a charging current limit threshold value according to the charging management information and the safety voltage limit information of the vehicle-mounted battery equipment;
Controlling the vehicle performance parameter according to a safety voltage limit value, a charging voltage limit threshold value and a charging current limit threshold value of the vehicle-mounted battery equipment;
The vehicle performance parameters comprise a lower limit voltage allowing the vehicle to be currently deficient in power, an upper limit voltage allowing charging and an upper limit current allowing charging;
the vehicle performance parameters further comprise information that the vehicle-mounted battery equipment triggers sending of the detection request.
Further, the SOC fault data includes:
Acquiring the endurance mileage management information and the endurance mileage limit value information of the vehicle-mounted battery equipment;
Obtaining deviation fluctuation information of actual range of a predicted range according to the range management information and range limit value information;
acquiring environmental state information of the vehicle-mounted battery equipment according to the deviation fluctuation information;
Controlling the vehicle performance parameter according to the environmental state information and the deviation fluctuation information;
the vehicle performance parameters comprise indication information of the endurance mileage corresponding to the change of the environmental state of the vehicle-mounted battery equipment with time or/and space;
the vehicle performance parameters further comprise information that the vehicle-mounted battery equipment triggers sending of the detection request.
According to two aspects of the present invention, there is provided a safe driving control device including:
the initial data module is used for acquiring vehicle initial performance data, wherein the vehicle initial performance data comprises vehicle performance parameters corresponding to the initial state of the vehicle;
the threshold setting module is used for setting a safety control threshold for limiting the vehicle control state according to the vehicle initial performance data;
The current data module is used for acquiring current performance data of the vehicle;
The parameter adjustment module is used for adjusting the vehicle performance parameters corresponding to the current state of the vehicle according to the current performance data of the vehicle;
The threshold value adjusting module is used for adjusting a safety control threshold value for limiting the vehicle control state according to the current performance data of the vehicle and the initial performance data of the vehicle;
the historical data module is used for generating the vehicle current performance data according to the historical data of the vehicle performance data, wherein the historical data comprises historical data of vehicle fault data corresponding to the vehicle control state.
According to three aspects of the present invention, there is provided an electronic apparatus including: the device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;
the memory stores a computer program which, when executed by the processor, causes the processor to execute the steps of the safe driving control method.
According to four aspects of the present invention, there is provided a computer-readable storage medium comprising: which stores a computer program executable by the electronic device for causing the electronic device to perform the steps of the safe driving control method when the computer program is run on the electronic device.
Through the scheme, the following beneficial technical effects are obtained:
The application trains the model through using historical information according to vehicles of the same model or a plurality of vehicle battery devices which are approximately configured, provides the safety driving guarantee for the new vehicle owners in advance before the new vehicle owners lack data, and prevents the new vehicle owners from driving too much because of unfamiliar with the conditions of the new vehicle.
According to the application, the vehicle use data of the vehicle is accumulated, and the model is iterated, so that the capability of the trained model for guiding the vehicle gradually approaches to adapt to the actual individuation of the vehicle.
According to the application, the characteristic data is extracted from multiple dimensions of voltage, temperature and SOC, the running state of the vehicle is monitored, the fault risk is prevented, the vehicle is charged to be used, the health state of the whole process is monitored, and the monitoring capability of the battery equipment is expanded.
Drawings
Fig. 1 is a flowchart of a safe driving control method according to one or more embodiments of the present invention.
Fig. 2 is a block diagram of a safe driving control device according to one or more embodiments of the present invention.
FIG. 3 is a schematic diagram of a data analysis process according to an embodiment of the present invention.
FIG. 4 is a schematic diagram of a data preprocessing procedure according to an embodiment of the present invention.
FIG. 5 is a schematic diagram of a temperature fault code according to one embodiment of the invention.
FIG. 6 is a schematic diagram of a data table creation statement in accordance with one embodiment of the invention.
FIG. 7 is a schematic diagram of the output of a temperature fault code according to one embodiment of the present invention.
FIG. 8 is a diagram of a data table creation statement output result according to an embodiment of the present invention.
Fig. 9 is a schematic diagram of vehicle fault cylinder data according to an embodiment of the present invention.
FIG. 10 is a schematic illustration of vehicle fault polyline data, in accordance with one embodiment of the present invention.
Fig. 11 is a block diagram of an electronic device according to a safe driving control method according to one or more embodiments of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the invention are shown. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Fig. 1 is a flowchart of a safe driving control method according to one or more embodiments of the present invention.
The safe driving control method shown in fig. 1 comprises the following steps:
step S1, acquiring initial performance data of a vehicle;
Step S2, the vehicle initial performance data comprise vehicle performance parameters corresponding to the initial state of the vehicle;
Step S3, setting a safety control threshold value for limiting the vehicle control state according to the vehicle initial performance data;
s4, acquiring current performance data of the vehicle;
Step S5, adjusting vehicle performance parameters corresponding to the current state of the vehicle according to the current performance data of the vehicle;
step S6, according to the current performance data of the vehicle and the initial performance data of the vehicle, adjusting a safety control threshold value for limiting the control state of the vehicle;
step S7, wherein the vehicle current performance data comprises generating the vehicle current performance data according to the historical data of the vehicle performance data;
In step S8, the history data includes history data of vehicle failure data corresponding to the vehicle handling state.
Specifically, when a vehicle has just purchased, the vehicle performance may vary slightly due to the same arrangement, but different lot-to-lot, different stock time, and the like. With the difference in usage scenario, the vehicle performance gradually becomes larger as the usage scenario varies. Typically, when the vehicle has just purchased, there is no driving experience, and the performance data that the vehicle can collect at this time is initial performance data, and the vehicle performance parameters set based on the initial performance data are also optimal performance parameters set in the control and management system of the vehicle. For ensuring the safety of the vehicle, the control state of the vehicle is limited, such as setting a safety control threshold. The safety control threshold value can be a threshold value of accelerator depth, a threshold value of acceleration curve, an upper speed limit threshold value of climbing load and the like, and is used for triggering rapid temperature rise and aging of vehicle battery equipment and the like and increasing the risk of vehicle faults. When the vehicle is used for the first time, the capability of tolerating the extreme use working condition of the vehicle is strong, and the safety control threshold for limiting the control state of the vehicle can be set according to the initial performance data of the vehicle, but along with the situation that the unavoidable presentation performance of the vehicle is reduced along with the extension of the use time, the corresponding vehicle performance parameters in the current state of the vehicle are also reduced.
Since the history data is the history data of the vehicle failure data corresponding to the vehicle handling state, which is related to the performance data of the vehicle, and the new vehicle has no history data or the history data is very small enough to generate the guidance capability for the vehicle handling state, it is possible to adjust the safety control threshold value that restricts the vehicle handling state with the history data of the vehicle (e.g., the same model of vehicle or the vehicle using the same model of battery device part) having the same vehicle initial performance data (e.g., the data of the change process from the vehicle initial performance data to the vehicle current performance data). The safety control threshold value limiting the control state of the vehicle is adjusted to adapt to the performance data reduction of the vehicle caused by the use of the vehicle, so that the fault risk is reduced.
In the present embodiment, the history data of the vehicle failure data corresponding to the vehicle handling state includes:
Positioning a collected object vehicle of historical data and a data collection range according to the correlation or/and the similarity of the initial performance data of the vehicles;
Screening a safety control threshold value of a vehicle control state, corresponding current performance data of the vehicle and initial performance data of the vehicle according to the vehicle fault data;
And adjusting the safety control threshold for limiting the vehicle control state according to the screened safety control threshold of the vehicle control state, the corresponding current performance data of the vehicle and the corresponding initial performance data of the vehicle.
Specifically, according to the correlation or/and similarity of the initial performance data of the vehicles, the collection target vehicle and the data collection range of the historical data are positioned, for example, the vehicles using the same vehicle-mounted battery equipment are selected, the charge and discharge performances of the batteries are similar, for example, the vehicles of the same model are selected, the dead weights of the vehicles are similar, and the load generated on the batteries is similar. And positioning and screening fault data of the vehicle based on the collected object vehicle and the historical data of the data collection range, and limiting the safety control threshold of the vehicle control state according to the safety control threshold of the fault data vehicle control state, corresponding current performance data of the vehicle and initial performance data of the vehicle. By locating the collected object vehicles of the historical data and the data collection range, a safety control threshold value with guiding significance for a new vehicle is selected, and fault risks caused by excessive consumption of performance of certain aspects of the battery are prevented.
In the present embodiment, the vehicle failure data includes: temperature fault data, voltage fault data and SOC fault data of the vehicle-mounted battery;
Setting health level data of temperature, voltage and SOC of the vehicle-mounted battery equipment according to the vehicle fault data;
setting a tolerance safety threshold of the vehicle-mounted battery equipment according to the health level data of the vehicle temperature, the voltage and the SOC;
monitoring the associated influence of the vehicle operating state and the temperature, voltage or/and SOC health level of the on-board battery device;
Setting a safety threshold of the vehicle running state according to the tolerance safety threshold and the associated influence of the vehicle running state and the temperature, voltage or/and SOC health level of the vehicle-mounted battery equipment;
and setting a safety control threshold of the vehicle control state according to the safety threshold of the vehicle running state.
Specifically, the data on the vehicle-mounted battery is more concentrated on the vehicle-mounted battery than on the vehicle-mounted battery. The fault data of the vehicle-mounted battery mainly comprises temperature fault data, voltage fault data and SOC fault data of the vehicle-mounted battery. The data of the vehicle temperature, voltage and SOC mainly include data of the health level and threshold data of tolerance. The evaluation of the health level is mainly based on the statistical data obtained by adopting a plurality of adoption point data, and the tolerance safety threshold of the vehicle-mounted battery equipment is set according to the health level data of the vehicle temperature, the voltage and the SOC, so that the risk of inducing the fault of the vehicle-mounted battery equipment is reduced. The temperature, voltage or/and SOC health level of the vehicle-mounted battery equipment is changed in the running and using processes of the vehicle, and the vehicle running state caused by the generated control signal is within the safety threshold range of the vehicle running state when the vehicle is controlled in cooperation with the safety threshold of the vehicle running state, so that the temperature, voltage or/and SOC health level of the vehicle-mounted battery equipment is realized.
In this embodiment, further comprising:
Acquiring sample data of historical data;
Constructing a machine learning model and model training according to sample data of historical data, and setting a safety control threshold of a vehicle control state;
acquiring sample data of historical data of the vehicle;
According to sample data of historical data of the vehicle, iterating the machine learning model, and adjusting a safety control threshold value of the vehicle control state.
Specifically, the same model in the history data, vehicle performance data, parameter data and the like at different using stages are used as sample data, a machine learning model is constructed, the model is trained to obtain a safety control threshold value, and the vehicle performance data, the parameter data and the like at the stage where the vehicle is positioned are input into the model to obtain the safety control threshold value corresponding to the vehicle control state of the vehicle. Under the condition that the vehicle does not have running history, a model generated by data of other vehicles is directly used, a safety control threshold value of a vehicle control state is obtained, accumulated history data are gradually increased along with the increase of the service life of the vehicle, and the model trained according to a plurality of performance data is iterated according to the performance data influence generated by the service habit and the running working condition of the vehicle, so that the model is more suitable for the actual running condition of the vehicle.
In the present embodiment, the temperature failure data includes:
Acquiring thermal management efficiency information of the vehicle-mounted battery equipment and safety temperature limit value information of the vehicle-mounted battery equipment;
setting a working temperature interval threshold of the vehicle-mounted battery equipment according to the thermal management efficiency information and the safety temperature limit value information of the vehicle-mounted battery equipment;
controlling vehicle performance parameters according to the temperature interval threshold;
The vehicle performance parameters include, maximum sustained power that the vehicle is allowed to currently output;
The vehicle performance parameters also include information that the vehicle-mounted battery device triggers sending a detection request.
Specifically, the vehicle-mounted battery inevitably generates heat as long as current passes through it due to the presence of internal resistance. As the electrode material peels off due to use, the heat generation amount of the battery increases, the breakdown resistance decreases, and the energy storage capability decreases. The thermal management system of the vehicle-mounted battery device takes away heat generated by the battery and has the capability of maintaining the working safety temperature of the battery. However, as the battery ages, the heat generation is more and more, the thermal management efficiency of the vehicle-mounted battery is insufficient to resist the heat generation efficiency of the battery, so that the battery cannot work at a preset safe working temperature interval threshold value, and besides the control of the vehicle performance parameter, namely the maximum continuous power which is allowed to be output by the vehicle, the information of a detection request is sent, and is further evaluated by a maintainer, so that the deterioration of a fault state is prevented.
Threshold value of working temperature interval
In the present embodiment, the voltage failure data includes:
Acquiring charging management information of the vehicle-mounted battery equipment and safety voltage limit value information of the vehicle-mounted battery equipment;
Setting a charging voltage limit threshold value and a charging current limit threshold value according to the charging management information and the safety voltage limit information of the vehicle-mounted battery equipment;
controlling vehicle performance parameters according to the safety voltage limit value, the charging voltage limit threshold value and the charging current limit threshold value of the vehicle-mounted battery equipment;
the vehicle performance parameters include a lower voltage limit that allows the vehicle to currently run out of power, an upper voltage limit that allows charging, and an upper current limit that allows charging;
The vehicle performance parameters also include information that the vehicle-mounted battery device triggers sending a detection request.
Specifically, the charge management of the in-vehicle battery device may control the charging and discharging of the battery by the charging stake. As the battery ages, breakdown resistance decreases and energy storage decreases, and over-discharge of the battery is prevented by controlling the lower limit voltage of the vehicle that allows the vehicle to currently run out of power. By controlling the upper limit voltage of the vehicle charge, breakdown of the battery by an excessive voltage is prevented. The upper limit current of the vehicle allowed to be charged is controlled to prevent the combustion risks such as local temperature rise and short circuit caused by abnormal current increase.
In the present embodiment, the SOC failure data includes:
Acquiring the endurance mileage management information and the endurance mileage limit value information of the vehicle-mounted battery equipment;
Obtaining deviation fluctuation information of actual range of a predicted range according to range management information and range limit value information;
Acquiring environmental state information of the vehicle-mounted battery equipment according to the deviation fluctuation information;
Controlling vehicle performance parameters according to the environmental state information and the deviation fluctuation information;
the vehicle performance parameters comprise indication information of the endurance mileage corresponding to the change of the environmental state of the vehicle-mounted battery equipment with time or/and space;
The vehicle performance parameters also include information that the vehicle-mounted battery device triggers sending a detection request.
Specifically, the SOC failure data mainly includes information of the driving range. The stored electric power is usually estimated from the voltage, current, etc. of the battery, and the driving range is converted. Obtaining the range limit value information needs to consider the lower limit voltage of the allowable battery power shortage and also consider unfavorable terrains such as climbing and the like encountered in the journey. And estimating the reserve electric quantity through voltage, current and the like, and transmitting the reserve electric quantity to a user at a display terminal. The actual driving mileage of the user deviates from the driving mileage transmitted to the user by the actual display terminal. When the deviation is too large, the endurance mileage management system can not evaluate that the endurance mileage with reference meaning is only information, and the serious faults of the battery are very likely to exist, so that the vehicle performance parameters are adjusted, the mileage is prolonged, a detection request is triggered and sent, and a window for manually judging maintenance is increased.
Fig. 2 is a block diagram of a safe driving control device according to one or more embodiments of the present invention.
The safe driving control device shown in fig. 2 includes: an initial data module, a threshold setting module, a current data module, a parameter adjusting module, a threshold adjusting module and a historical data module;
The initial data module is used for acquiring initial performance data of the vehicle, wherein the initial performance data of the vehicle comprise vehicle performance parameters corresponding to the initial state of the vehicle;
The threshold setting module is used for setting a safety control threshold for limiting the vehicle control state according to the vehicle initial performance data;
The current data module is used for acquiring current performance data of the vehicle;
The parameter adjustment module is used for adjusting the vehicle performance parameters corresponding to the current state of the vehicle according to the current performance data of the vehicle;
The threshold value adjusting module is used for adjusting a safety control threshold value for limiting the vehicle control state according to the current performance data of the vehicle and the initial performance data of the vehicle;
The historical data module is used for generating the current performance data of the vehicle according to the historical data of the performance data of the vehicle, wherein the historical data comprises the historical data of the vehicle fault data corresponding to the vehicle control state.
It should be noted that, although the present system only discloses an initial data module, a threshold setting module, a current data module, a parameter adjusting module, a threshold adjusting module, and a historical data module, the present invention is to be expressed in terms of the above basic functional modules, and one skilled in the art may add one or more functional modules arbitrarily in combination with the prior art to form an infinite number of embodiments or technical solutions, that is, the present system is open rather than closed, and the scope of protection of the claims of the present invention should not be considered to be limited to the above disclosed basic functional modules because the present embodiment only discloses individual basic functional modules.
Through the scheme, the following beneficial technical effects are obtained:
The application trains the model through using historical information according to vehicles of the same model or a plurality of vehicle battery devices which are approximately configured, provides the safety driving guarantee for the new vehicle owners in advance before the new vehicle owners lack data, and prevents the new vehicle owners from driving too much because of unfamiliar with the conditions of the new vehicle.
According to the application, the vehicle use data of the vehicle is accumulated, and the model is iterated, so that the capability of the trained model for guiding the vehicle gradually approaches to adapt to the actual individuation of the vehicle.
According to the application, the characteristic data is extracted from multiple dimensions of voltage, temperature and SOC, the running state of the vehicle is monitored, the fault risk is prevented, the vehicle is charged to be used, the health state of the whole process is monitored, and the monitoring capability of the battery equipment is expanded.
FIG. 3 is a schematic diagram of a data analysis process according to an embodiment of the present invention.
FIG. 4 is a schematic diagram of a data preprocessing procedure according to an embodiment of the present invention.
FIG. 5 is a schematic diagram of a temperature fault code according to one embodiment of the invention.
FIG. 6 is a schematic diagram of a data table creation statement in accordance with one embodiment of the invention.
FIG. 7 is a schematic diagram of the output of a temperature fault code according to one embodiment of the present invention.
FIG. 8 is a diagram of a data table creation statement output result according to an embodiment of the present invention.
Fig. 9 is a schematic diagram of vehicle fault cylinder data according to an embodiment of the present invention.
FIG. 10 is a schematic illustration of vehicle fault polyline data, in accordance with one embodiment of the present invention.
In one embodiment, as shown in fig. 3, the data analysis flow includes data acquisition, data preprocessing, vehicle health status index formulation, and characteristic data analysis.
Step 1, data acquisition, which includes acquiring a new energy automobile state data set, for example, data acquisition is performed based on equipment such as a sensor, a gyroscope and the like; for example, historical data of the state of the new energy automobile in a period of time interval is obtained from the related website, so that comparison analysis is performed through the historical data.
The two methods have advantages and disadvantages, can be selected according to the conditions, for example, data acquisition is performed based on equipment such as a sensor and a gyroscope, effective information is difficult to accumulate in a short time on a newly purchased vehicle, and data acquisition from related websites can be focused on in the initial stage.
As shown in table 1, data of a certain model vehicle on an associated website is sampled. The item titles corresponding to each column field in table 1 are the new energy automobile id, year, month, day, voltage value, SOC value, and temperature value.
TABLE 1
| Car_id | Car_year | Car_month | Car_day | Car_sumvoltage(V) | Car_soc(％) | Car_temperature(℃) |
| 00001 | 2021 | 8 | 8 | 712.5 | 96.7 | 56.6 |
| 00002 | 2021 | 8 | 8 | 266.2 | 55.3 | 30.2 |
| 00003 | 2021 | 8 | 8 | 463.5 | 47.9 | 46.8 |
| 00004 | 2021 | 8 | 8 | 394.0 | 63.1 | 67.1 |
| 00005 | 2021 | 8 | 8 | 725.2 | 63.5 | 40.8 |
| 00006 | 2021 | 8 | 8 | 625.4 | 79.9 | 62.0 |
| 00007 | 2021 | 8 | 8 | 519.6 | 71.2 | 55.1 |
| 00008 | 2021 | 8 | 8 | 709.6 | 39.8 | 33.2 |
| 00009 | 2021 | 8 | 8 | 388.1 | 56.0 | 41.7 |
And 2, preprocessing data, namely cleaning the collected data mainly based on a large data warehouse technology, wherein partial data is in a data missing and non-numerical state due to the large data quantity, so that the data are processed before data analysis, and the data are cleaned, filled and missing and non-numerical data mainly. The data preprocessing flow shown in fig. 4 mainly adopts average value to fill data.
Step 3, formulating vehicle health state indexes mainly from three angles of voltage, SOC value and temperature value;
Regarding voltage, the battery voltage of the new energy automobile is generally 200-750V, the high voltage of the pure electric automobile is generally about 400V, the electric quantity of the micro-car is small, the voltage is slightly lower, about 200V or more, the voltage is basically maintained between 300 and 500V, and occasionally, the voltage can be slightly higher than 500V due to the reasons of battery overshoot or in-car environment and the like, so that attention needs to be paid, and people can observe and then make theories; if maintained in an excessively high (greater than 750V) or excessively low (less than 200V) state for a long period of time, it indicates that the automobile is in an unhealthy state, and the equipment is potentially faulty, such as: voltage damage, etc., and maintenance treatment needs to be performed in time.
Regarding the SOC, the SOC value of the battery is 25% -70%, so that the running quality can be ensured, meanwhile, energy conservation and emission reduction can be realized, the normal SOC value is stably increased or reduced, and the occasional occurrence of instability such as high or low negligence of the SOC value can be caused by environmental temperature and can be observed regularly; if the SOC is unstable, it may be due to malfunction of the battery device, requiring manual intervention.
Regarding the temperature, the normal temperature range of the battery when the new energy automobile is running is 30-50. About 60 ℃, which means that the load reaches the upper limit, the overload is over-loaded at 70 ℃ and the clicking life is seriously shortened at 80 ℃, if the temperature exceeds 60 ℃, the vehicle should be stopped for inspection, and the battery cooling system or the thermal management system of the storage battery of the vehicle possibly breaks down, so that the vehicle needs to be inspected, otherwise, the vehicle is automatically ignited if the temperature exceeds 60 ℃.
And 4, in the stage of characteristic data analysis, the data calculation amount is large, the traditional calculation method can not meet the calculation performance requirement, in the stage, a large data distributed processing technology is mainly adopted, mass data processing is realized based on Hadoop distributed calculation of a plurality of bins, an HDFS distributed file system is mainly used for data storage, and a Mapreduce technology is mainly adopted for data calculation.
Based on the new energy automobile health state evaluation index formulated in the step 3, data analysis is realized by writing a Mapreduce code, and the number of faulty automobiles due to index abnormality in each month of the whole year is calculated. As shown in fig. 5, the core code of the number of faulty vehicles due to temperature is enumerated, and the other two cases are similar.
From the code shown in fig. 5, the output result shown in fig. 7 is obtained. Wherein, the number of days higher than the average day is 143 days, the proportion is 39.25%, the number of days lower than the average day is 222 days, and the proportion is 60.75%.
In order to facilitate visual display in the later period, the invention imports the automobile health state data into a relational database for storage, the data table has 7 fields which respectively correspond to the new energy automobile state fields, a main key in the table is set as an automobile id, a concrete table construction statement is shown in fig. 6, and the result shown in fig. 8 is output.
From fig. 7 and 8, a bar chart shown in fig. 9 or a line chart shown in fig. 10 is generated.
In another embodiment, the process and skill of data processing is disclosed. The new energy automobile health state evaluation technology based on big data is used for respectively discussing the acquisition of new energy automobile data, the construction of a big data platform, the pretreatment of the data, the formulation of fault indexes and the visual display of indexes. Because the vehicle data size is large and complex, the new energy automobile health state is analyzed by adopting a big data technology, and an air quality analysis system based on a Hadoop platform is formed. Because more clusters are built, configuration files are easy to make mistakes, and finally, the error is found through checking logs for many times to complete the building of the platform; secondly, the jar packet imported in the lib is missing, and the corresponding jar packet is imported into the lib according to the code operation prompt.
And storing the vehicle data on the HDFS, fully playing the advantages of a big data platform, and combining the web system and the MapReduce parallel computing framework to form a new energy automobile health state analysis system platform based on MapReduce. The front page uses Echarts, html, etc. techniques. The bottom layer data analysis is realized by writing MapReduce codes and writing Hive sql, the MapReduce codes are flexibly used for complex calculation logic, the Hive sql is used for less complex functions, and the data analysis efficiency is improved.
Fig. 11 is a block diagram of an electronic device according to a safe driving control method according to one or more embodiments of the present invention.
As shown in fig. 11, the present application provides an electronic apparatus including: the device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;
the memory stores a computer program which, when executed by the processor, causes the processor to perform the steps of a safe driving control method.
The present application also provides a computer-readable storage medium storing a computer program executable by an electronic device, which when run on the electronic device causes the electronic device to perform the steps of a safe driving control method.
The present application also provides a vehicle including:
the electronic equipment is used for realizing the safe driving control method;
A processor that runs a program, and executes the steps of the safe driving control method from data output from the electronic device when the program runs;
A storage medium storing a program that, when executed, performs the steps of the safe driving control method on data output from the electronic device.
The communication bus mentioned above for the electronic device may be a peripheral component interconnect standard (PERIPHERAL COMPONENT INTERCONNECT, PCI) bus or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, etc. The communication bus may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, the figures are shown with only one bold line, but not with only one bus or one type of bus.
The electronic device includes a hardware layer, an operating system layer running on top of the hardware layer, and an application layer running on top of the operating system. The hardware layer includes hardware such as a central processing unit (CPU, central Processing Unit), a memory management unit (MMU, memory Management Unit), and a memory. The operating system may be any one or more computer operating systems that implement electronic device control via processes (processes), such as a Linux operating system, a Unix operating system, an Android operating system, an iOS operating system, or a windows operating system, etc. In addition, in the embodiment of the present invention, the electronic device may be a handheld device such as a smart phone, a tablet computer, or an electronic device such as a desktop computer, a portable computer, which is not particularly limited in the embodiment of the present invention.
The execution body controlled by the electronic device in the embodiment of the invention can be the electronic device or a functional module in the electronic device, which can call a program and execute the program. The electronic device may obtain firmware corresponding to the storage medium, where the firmware corresponding to the storage medium is provided by the vendor, and the firmware corresponding to different storage media may be the same or different, which is not limited herein. After the electronic device obtains the firmware corresponding to the storage medium, the firmware corresponding to the storage medium can be written into the storage medium, specifically, the firmware corresponding to the storage medium is burned into the storage medium. The process of burning the firmware into the storage medium may be implemented by using the prior art, and will not be described in detail in the embodiment of the present invention.
The electronic device may further obtain a reset command corresponding to the storage medium, where the reset command corresponding to the storage medium is provided by the provider, and the reset commands corresponding to different storage media may be the same or different, which is not limited herein.
At this time, the storage medium of the electronic device is a storage medium in which the corresponding firmware is written, and the electronic device may respond to a reset command corresponding to the storage medium in which the corresponding firmware is written, so that the electronic device resets the storage medium in which the corresponding firmware is written according to the reset command corresponding to the storage medium. The process of resetting the storage medium according to the reset command may be implemented in the prior art, and will not be described in detail in the embodiments of the present invention.
For convenience of description, the above devices are described as being functionally divided into various units and modules. Of course, the functions of the units, modules may be implemented in one or more pieces of software and/or hardware when implementing the application.
It will be understood by those skilled in the art that all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs unless defined otherwise. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
For the purposes of simplicity of explanation, the methodologies are shown and described as a series of acts, it is to be understood and appreciated by one of ordinary skill in the art that the methodologies are not limited by the order of acts, as some acts may, in accordance with the methodologies, take place in other order or concurrently. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred embodiments, and that the acts are not necessarily required by the embodiments of the invention.
From the above description of embodiments, it will be apparent to those skilled in the art that the present application may be implemented in software plus a necessary general hardware platform. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform the method according to the embodiments or some parts of the embodiments of the present application.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (10)
1. The safe driving control method is characterized by comprising the following steps of:
Acquiring initial performance data of a vehicle;
the vehicle initial performance data comprise vehicle performance parameters corresponding to the initial state of the vehicle;
setting a safety control threshold value for limiting the vehicle control state according to the vehicle initial performance data;
acquiring current performance data of a vehicle;
adjusting vehicle performance parameters corresponding to the current state of the vehicle according to the current performance data of the vehicle;
According to the current performance data of the vehicle and the initial performance data of the vehicle, adjusting a safety control threshold value for limiting the control state of the vehicle;
The vehicle current performance data comprises generating vehicle current performance data according to historical data of the vehicle performance data;
the history data includes history data of vehicle failure data corresponding to a vehicle handling state.
2. The safe driving control method according to claim 1, wherein the history data of the vehicle failure data corresponding to the vehicle manipulation state includes:
Positioning a collection object vehicle and a data collection range of the historical data according to the correlation or/and the similarity of the initial performance data of the vehicles;
Screening a safety control threshold value of a vehicle control state, corresponding current performance data of the vehicle and initial performance data of the vehicle according to the vehicle fault data;
And adjusting the safety control threshold for limiting the vehicle control state according to the screened safety control threshold of the vehicle control state, the corresponding current performance data of the vehicle and the corresponding initial performance data of the vehicle.
3. The safe driving control method according to claim 1, wherein the vehicle failure data includes: temperature fault data, voltage fault data and SOC fault data of the vehicle-mounted battery;
setting health level data of temperature, voltage and SOC of the vehicle-mounted battery equipment according to the vehicle fault data;
setting a tolerance safety threshold of the vehicle-mounted battery equipment according to the health level data of the vehicle temperature, the voltage and the SOC;
monitoring the associated influence of the vehicle running state and the temperature, voltage or/and SOC health level of the vehicle-mounted battery equipment;
Setting a safety threshold of the vehicle running state according to the tolerance safety threshold and the associated influence of the vehicle running state and the temperature, voltage or/and SOC health level of the vehicle-mounted battery equipment;
and setting a safety control threshold of the vehicle control state according to the safety threshold of the vehicle running state.
4. A safe driving control method as claimed in claim 2 or 3, further comprising:
Acquiring sample data of the historical data;
Constructing a machine learning model and model training according to sample data of the historical data, and setting a safety control threshold of the vehicle control state;
acquiring sample data of the historical data of the vehicle;
and according to sample data of the historical data of the vehicle, iterating a machine learning model, and adjusting a safety control threshold of the vehicle control state.
5. The safe driving control method according to claim 4, wherein the temperature failure data includes:
Acquiring thermal management efficiency information of the vehicle-mounted battery equipment and safety temperature limit value information of the vehicle-mounted battery equipment;
Setting a working temperature interval threshold of the vehicle-mounted battery equipment according to the thermal management efficiency information and the safety temperature limit value information of the vehicle-mounted battery equipment;
controlling the vehicle performance parameter according to the temperature interval threshold;
the vehicle performance parameters include a maximum sustained power that the vehicle is allowed to currently output;
the vehicle performance parameters further comprise information that the vehicle-mounted battery equipment triggers sending of the detection request.
6. The safe driving control method according to claim 5, wherein the voltage failure data includes:
Acquiring charging management information of the vehicle-mounted battery equipment and safety voltage limit value information of the vehicle-mounted battery equipment;
setting a charging voltage limit threshold value and a charging current limit threshold value according to the charging management information and the safety voltage limit information of the vehicle-mounted battery equipment;
Controlling the vehicle performance parameter according to a safety voltage limit value, a charging voltage limit threshold value and a charging current limit threshold value of the vehicle-mounted battery equipment;
The vehicle performance parameters comprise a lower limit voltage allowing the vehicle to be currently deficient in power, an upper limit voltage allowing charging and an upper limit current allowing charging;
the vehicle performance parameters further comprise information that the vehicle-mounted battery equipment triggers sending of the detection request.
7. The safe driving control method according to claim 6, wherein the SOC failure data includes:
Acquiring the endurance mileage management information and the endurance mileage limit value information of the vehicle-mounted battery equipment;
Obtaining deviation fluctuation information of actual range of a predicted range according to the range management information and range limit value information;
acquiring environmental state information of the vehicle-mounted battery equipment according to the deviation fluctuation information;
Controlling the vehicle performance parameter according to the environmental state information and the deviation fluctuation information;
the vehicle performance parameters comprise indication information of the endurance mileage corresponding to the change of the environmental state of the vehicle-mounted battery equipment with time or/and space;
the vehicle performance parameters further comprise information that the vehicle-mounted battery equipment triggers sending of the detection request.
8. A safe driving control device, characterized in that the safe driving control device comprises:
the initial data module is used for acquiring vehicle initial performance data, wherein the vehicle initial performance data comprises vehicle performance parameters corresponding to the initial state of the vehicle;
the threshold setting module is used for setting a safety control threshold for limiting the vehicle control state according to the vehicle initial performance data;
The current data module is used for acquiring current performance data of the vehicle;
The parameter adjustment module is used for adjusting the vehicle performance parameters corresponding to the current state of the vehicle according to the current performance data of the vehicle;
The threshold value adjusting module is used for adjusting a safety control threshold value for limiting the vehicle control state according to the current performance data of the vehicle and the initial performance data of the vehicle;
the historical data module is used for generating the vehicle current performance data according to the historical data of the vehicle performance data, wherein the historical data comprises historical data of vehicle fault data corresponding to the vehicle control state.
9. An electronic device, comprising: the device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;
the memory has stored therein a computer program which, when executed by the processor, causes the processor to perform the steps of the safe driving control method as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, comprising: which stores a computer program executable by an electronic device, which when run on the electronic device causes the electronic device to perform the steps of the safe-driving control method as claimed in any one of claims 1 to 7.
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