CN114348157A - Method and system for preventing electric two-wheeled vehicle from rollover based on G-sensor data - Google Patents
Method and system for preventing electric two-wheeled vehicle from rollover based on G-sensor data Download PDFInfo
- Publication number
- CN114348157A CN114348157A CN202210275588.6A CN202210275588A CN114348157A CN 114348157 A CN114348157 A CN 114348157A CN 202210275588 A CN202210275588 A CN 202210275588A CN 114348157 A CN114348157 A CN 114348157A
- Authority
- CN
- China
- Prior art keywords
- electric
- wheeled vehicle
- preset
- turning
- vehicle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
- B62J—CYCLE SADDLES OR SEATS; AUXILIARY DEVICES OR ACCESSORIES SPECIALLY ADAPTED TO CYCLES AND NOT OTHERWISE PROVIDED FOR, e.g. ARTICLE CARRIERS OR CYCLE PROTECTORS
- B62J50/00—Arrangements specially adapted for use on cycles not provided for in main groups B62J1/00 - B62J45/00
- B62J50/20—Information-providing devices
- B62J50/21—Information-providing devices intended to provide information to rider or passenger
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
- B62J—CYCLE SADDLES OR SEATS; AUXILIARY DEVICES OR ACCESSORIES SPECIALLY ADAPTED TO CYCLES AND NOT OTHERWISE PROVIDED FOR, e.g. ARTICLE CARRIERS OR CYCLE PROTECTORS
- B62J45/00—Electrical equipment arrangements specially adapted for use as accessories on cycles, not otherwise provided for
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
- B62J—CYCLE SADDLES OR SEATS; AUXILIARY DEVICES OR ACCESSORIES SPECIALLY ADAPTED TO CYCLES AND NOT OTHERWISE PROVIDED FOR, e.g. ARTICLE CARRIERS OR CYCLE PROTECTORS
- B62J50/00—Arrangements specially adapted for use on cycles not provided for in main groups B62J1/00 - B62J45/00
- B62J50/20—Information-providing devices
- B62J50/21—Information-providing devices intended to provide information to rider or passenger
- B62J50/22—Information-providing devices intended to provide information to rider or passenger electronic, e.g. displays
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/72—Electric energy management in electromobility
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention provides a method and a system for preventing an electric two-wheeled vehicle from rolling over based on G-sensor data, which are applied to the field of distance measurement; capturing the speed of the electric two-wheeled vehicle, and judging whether the speed is higher than a preset speed limit; collecting the turning coefficient of the electric two-wheeled vehicle, and judging whether the turning coefficient is larger than a preset turning coefficient range; if so, judging whether the turning duration of the electric two-wheeled vehicle is greater than a preset dangerous turning time threshold value or not; the dangerous turning time threshold is specifically the preset turning duration of the electric two-wheeled vehicle; if so, acquiring the seat cushion deflection rate of the electric two-wheeled vehicle; monitoring the seat cushion deflection rate of the electric two-wheeled vehicle based on a preset seat cushion sensor, and judging whether the seat cushion deflection rate exceeds a preset deflection range or not by comparing the seat cushion deflection rate with a preset deflection limit; and if the voice prompt content exceeds the preset threshold value, sending the voice prompt content by adopting a preset voice device based on the voice output end of the electric two-wheel vehicle.
Description
Technical Field
The invention relates to the field of distance measurement, in particular to a method and a system for preventing an electric two-wheeled vehicle from rolling over based on G-sensor data.
Background
When the existing electric two-wheeled vehicle is in a rollover accident, a bracket or an armrest of the vehicle cannot normally return to cause the electric two-wheeled vehicle to rollover for some reasons.
For example, application No. CN201910532960.5 discloses a driving behavior scoring system and method, which comprises: on-vehicle OBD terminal, platform server, wherein: the vehicle-mounted OBD terminal is used for collecting driving behavior alarm data of the driving travel through a CAN bus and sending the driving behavior alarm data to the platform server through a wireless network; and the platform server is used for calculating the driving behavior score of the driving journey according to the driving behavior warning data. According to the embodiment of the invention, the driving behavior scoring of the current driving can be realized only by using the vehicle-mounted OBD terminal to collect the driving behavior warning data and analyzing the driving behavior warning data by the platform server, other reference data do not need to be additionally collected, historical data and factors do not need to be considered, a vehicle-human model is not needed, and the universality is high.
The existing driving behavior scoring system and scoring method can score the driving behavior of the driver, and can not predict the impending rollover accident of the driver in the driving process; for example, the driver does not unconsciously release the handle, the driver drives at an excessive speed, the driver operates the vehicle with one hand or the electric two-wheeled vehicle with too large turning inclination angle in the driving process, so that the gravity center of the vehicle is unstable, the vehicle has the problem of side turning, and the safety problems of traffic accidents, battery ignition and the like are caused.
Disclosure of Invention
The invention aims to solve the problem that the vehicle turns over due to sharp turning when an electric two-wheeled vehicle runs, and provides a method and a system for preventing the electric two-wheeled vehicle from turning over based on G-sensor data.
The invention adopts the following technical means for solving the technical problems:
the invention provides a method for preventing rollover of an electric two-wheeled vehicle based on G-sensor data, which comprises the following steps:
capturing the speed of the electric two-wheeled vehicle, and judging whether the speed is higher than a preset speed limit or not;
if the vehicle speed icon is higher than the preset speed threshold value, changing the color of the vehicle speed icon of the display of the electric two-wheel vehicle into red; wherein the vehicle speed icon color comprises a green constant speed and a red overspeed;
collecting a turning coefficient of the electric two-wheeled vehicle, and judging whether the turning coefficient is larger than a preset turning coefficient range; the turning coefficient is specifically the inclination angle of the electric two-wheeled vehicle;
if so, judging whether the turning duration time of the electric two-wheel vehicle is greater than a preset dangerous turning time threshold value or not; the dangerous turning time threshold is specifically the preset turning duration time of the electric two-wheeled vehicle;
if so, acquiring the seat cushion deflection rate of the electric two-wheeled vehicle;
monitoring a seat cushion deflection rate of the electric two-wheeled vehicle based on a preset seat cushion sensor, and judging whether the seat cushion deflection rate exceeds a preset deflection range or not by comparing the seat cushion deflection rate with a preset deflection limit; the seat cushion deflection rate is specifically an angle corresponding to a deflection plane formed according to each stress point of the seat cushion;
if the speed exceeds the preset speed threshold value, a preset voice device is adopted to send voice prompt contents based on the voice output end of the electric two-wheel vehicle; the voice prompt content is specifically used for informing a driver of controlling the seat cushion deflection rate and the deflection direction.
Further, the step of monitoring the seat cushion inclination of the electric two-wheel vehicle based on a preset seat cushion sensor, comparing the seat cushion inclination with a preset inclination limit, and judging whether the seat cushion inclination exceeds the preset inclination range includes:
judging whether the angle of a surface formed by the stress point of the seat cushion sensor in the stress direction is larger than a preset angle range or not;
if so, the balance point of the electric two-wheeled vehicle excessively tends to the stress point, and a preset pressure applicator is adopted to apply force to the stress direction opposite to the stress point, so that the balance point is balanced; and if not, monitoring the balance state of the electric two-wheel vehicle.
Further, gather the turn coefficient of electric bicycle, judge whether the turn coefficient is greater than the step of preset camber coefficient scope before, include:
a preset gyroscope is adopted to obtain a turning coefficient generated by turning of the electric two-wheel vehicle based on a seat cushion sensor of the electric two-wheel vehicle as a center; the gyroscope is specifically an angular motion detection device when the electric two-wheeled vehicle turns.
And setting a turning coefficient threshold value generated by turning of the electric two-wheel vehicle as a preset turning coefficient range.
Further, after the step of capturing the speed of the electric two-wheel vehicle and judging whether the speed of the electric two-wheel vehicle is higher than a preset speed limit, the method comprises the following steps:
judging the degree of out-of-control of the electric two-wheeled vehicle according to whether the distance between the vehicle body and the obstacle is smaller than a preset distance when the electric two-wheeled vehicle turns;
if so, the electric two-wheeled vehicle is in an out-of-control state, and an engine of the electric two-wheeled vehicle is forcibly braked; if not, the electric two-wheeled vehicle is in a non-runaway state, and the turning degree of the electric two-wheeled vehicle is monitored.
Further, before the step of judging the degree of runaway of the electric two-wheeled vehicle according to whether the distance between the electric two-wheeled vehicle and the obstacle when the electric two-wheeled vehicle turns is less than the preset distance, the method comprises the following steps:
capturing the distance between the electric two-wheeled vehicle and an obstacle by adopting a preset radar based on the outermost position of the electric two-wheeled vehicle; the radar is specifically a range radar for ranging the vehicle body and the obstacle in the moving process.
And setting the fixed distance between the periphery of the vehicle body and the barrier as a preset distance.
Further, if yes, the step of obtaining the seat cushion inclination of the electric two-wheeled vehicle includes:
the method comprises the steps of collecting all stress points of a seat cushion of the electric two-wheel vehicle, comparing the stress points with preset balance stress points, and obtaining the stress direction of the stress points of the seat cushion.
Further, if the voice prompt content exceeds the preset voice prompt content, the step of sending the voice prompt content by adopting a preset voice device based on the voice output end of the electric two-wheel vehicle comprises the following steps:
and acquiring data information of contents needing voice prompt by adopting a preset loudspeaker, converting the data information into characters and sending the characters to a voice device.
Further, the step of capturing the speed of the electric two-wheel vehicle and judging whether the speed of the electric two-wheel vehicle is higher than a preset speed limit comprises the following steps:
detecting the motor power of the electric two-wheeled vehicle, and acquiring the rotating speed N and the rotating speed period T of the electric two-wheeled vehicle per second according to the motor power;
calculating by adopting a formula X = (60S multiplied by N/T) multiplied by 2 to obtain the motor rotating speed X of the electric two-wheeled vehicle based on the rotating speed N and the rotating speed period T of the electric two-wheeled vehicle per second; and S is a time unit.
Further, if the turning duration of the electric two-wheeled vehicle is greater than the preset dangerous turning time threshold, the method comprises the following steps of:
recording the turning duration time of the electric two-wheeled vehicle during steering action by adopting a preset angle sensor so as to obtain the specific turning duration time; the angle sensor is used for recording the turning duration time when the turning angle of the electric two-wheeled vehicle is larger than a preset angle when the electric two-wheeled vehicle turns.
The invention also provides a system for preventing the electric two-wheeled vehicle from rolling over based on the G-sensor data, which comprises the following components:
the first judgment module is used for capturing the speed of the electric two-wheel vehicle and judging whether the speed is higher than a preset speed limit or not;
the first execution module is used for changing the color of a speed icon of the display of the electric two-wheel vehicle into red if the speed icon is higher than the first execution module; wherein the vehicle speed icon color comprises a green constant speed and a red overspeed;
the second judgment module is used for acquiring the turning coefficient of the electric two-wheel vehicle and judging whether the turning coefficient is larger than a preset turning coefficient range or not; the turning coefficient is specifically the inclination angle of the electric two-wheeled vehicle;
the second execution module is used for judging whether the turning duration of the electric two-wheel vehicle is greater than a preset dangerous turning time threshold value or not if the turning duration of the electric two-wheel vehicle is greater than the preset dangerous turning time threshold value; the dangerous turning time threshold is specifically the preset turning duration time of the electric two-wheeled vehicle;
the first obtaining module is used for obtaining the seat cushion deflection rate of the electric two-wheel vehicle if the seat cushion deflection rate is positive;
the third judgment module is used for monitoring the seat cushion deflection rate of the electric two-wheeled vehicle based on a preset seat cushion sensor, and judging whether the seat cushion deflection rate exceeds the preset deflection range or not by comparing the seat cushion deflection rate with a preset deflection limit; the seat cushion deflection rate is specifically an angle corresponding to a deflection plane formed according to each stress point of the seat cushion;
the third execution module is used for sending voice prompt contents based on the voice output end of the electric two-wheel vehicle by adopting a preset voice device if the voice prompt contents exceed the preset voice output end; the voice prompt content is specifically used for informing a driver of controlling the seat cushion deflection rate and the deflection direction.
The invention provides a method and a system for preventing rollover of an electric two-wheeled vehicle based on G-sensor data, which have the following beneficial effects:
according to the invention, the speed of the electric two-wheeled vehicle is captured, the turning coefficient of the electric two-wheeled vehicle is acquired, and the seat cushion deflection rate of the electric two-wheeled vehicle is monitored based on the preset seat cushion sensor, so that the accident probability that the electric two-wheeled vehicle is likely to turn over is controlled, the possibility that the electric two-wheeled vehicle is unstable in gravity center and the electric two-wheeled vehicle turns over is reduced, and the problem that the vehicle turns over due to sharp turning during the operation of the electric two-wheeled vehicle is solved.
Drawings
FIG. 1 is a schematic flow chart of an embodiment of a method for preventing rollover of an electric two-wheeled vehicle based on G-sensor data according to the present invention;
fig. 2 is a block diagram illustrating a system for preventing rollover of an electric motorcycle according to an embodiment of the present invention based on G-sensor data.
Detailed Description
It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be considered as limiting thereof, since the objects, features and advantages thereof will be further described with reference to the accompanying drawings.
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.
Referring to fig. 1, a method for preventing rollover of an electric two-wheeled vehicle based on G-sensor data according to an embodiment of the present invention includes:
s1: capturing the speed of the electric two-wheeled vehicle, and judging whether the speed is higher than a preset speed limit or not;
s2: if the vehicle speed icon is higher than the preset speed threshold value, changing the color of the vehicle speed icon of the display of the electric two-wheel vehicle into red; wherein the vehicle speed icon color comprises a green constant speed and a red overspeed;
s3: collecting a turning coefficient of the electric two-wheeled vehicle, and judging whether the turning coefficient is larger than a preset turning coefficient range; the turning coefficient is specifically the inclination angle of the electric two-wheeled vehicle;
s4: if so, judging whether the turning duration time of the electric two-wheel vehicle is greater than a preset dangerous turning time threshold value or not; the dangerous turning time threshold is specifically the preset turning duration time of the electric two-wheeled vehicle;
s5: if so, acquiring the seat cushion deflection rate of the electric two-wheeled vehicle;
s6: monitoring a seat cushion deflection rate of the electric two-wheeled vehicle based on a preset seat cushion sensor, and judging whether the seat cushion deflection rate exceeds a preset deflection range or not by comparing the seat cushion deflection rate with a preset deflection limit; the seat cushion deflection rate is specifically an angle corresponding to a deflection plane formed according to each stress point of the seat cushion;
s7: if the speed exceeds the preset speed threshold value, a preset voice device is adopted to send voice prompt contents based on the voice output end of the electric two-wheel vehicle; the voice prompt content is specifically used for informing a driver of controlling the seat cushion deflection rate and the deflection direction.
In this embodiment, after the step S1 of capturing the vehicle speed of the electric two-wheeled vehicle and determining whether the vehicle speed is higher than the preset vehicle speed limit, the method includes determining the degree of runaway of the electric two-wheeled vehicle according to whether the distance between the vehicle body and the obstacle is smaller than the preset distance when the electric two-wheeled vehicle makes a turn, if so, the electric two-wheeled vehicle is in a state of runaway, performing forced braking on an engine of the electric two-wheeled vehicle, and if not, the electric two-wheeled vehicle is in a state of non-runaway, and monitoring the degree of turn of the electric two-wheeled vehicle; gather the turn coefficient of electric bicycle, judge whether the turn coefficient is greater than step S3 of preset turn coefficient scope includes before, adopts the preset gyroscope to obtain the turn coefficient that the electric bicycle turned and produced based on the seatpad sensor of electric bicycle as the center, and the gyroscope specifically is the angular motion detection device when the electric bicycle carries out the action of turning. Setting a turning coefficient threshold value generated by turning of the electric two-wheeled vehicle as a preset turning coefficient range; if the turning duration time is greater than the preset dangerous turning time threshold value, the step S4 of judging whether the turning duration time of the electric two-wheeled vehicle is greater than the preset dangerous turning time threshold value includes that a preset angle sensor is adopted to record the turning duration time when the electric two-wheeled vehicle performs the steering action so as to obtain the specific turning duration time, and the angle sensor is specifically used for recording the turning duration time when the turning angle of the electric two-wheeled vehicle is greater than the preset angle when the electric two-wheeled vehicle performs the turning; if so, the step S5 of acquiring the seat cushion skewness of the electric two-wheel vehicle comprises the steps of acquiring each stress point of the seat cushion of the electric two-wheel vehicle, comparing the stress point with a preset balance stress point and acquiring the stress direction of the stress point trend of the seat cushion; monitoring a seat cushion deflection rate of the electric two-wheeled vehicle based on a preset seat cushion sensor, and comparing the seat cushion deflection rate with a preset deflection limit to judge whether the seat cushion deflection rate exceeds a preset deflection range, wherein the step S6 comprises the steps of judging whether the angle of a plane formed by stress points of the stress direction of the seat cushion sensor is larger than a preset angle range, if so, excessively tending to the stress point of the electric two-wheeled vehicle, applying force to the stress direction opposite to the stress point by adopting a preset pressure applicator to ensure that the balance point returns to balance, and if not, monitoring the balance state of the electric two-wheeled vehicle; if the voice prompt content exceeds the preset value, the step S7 of sending the voice prompt content by adopting a preset voice device based on the voice output end of the electric two-wheel vehicle comprises the steps of obtaining data information needing the voice prompt content by adopting a preset loudspeaker, converting the data information into characters and sending the characters to the voice device.
In this embodiment, after the step S6 of monitoring a seat cushion inclination of the electric motorcycle based on a preset seat cushion sensor, comparing the seat cushion inclination with a preset inclination limit, and determining whether the seat cushion inclination exceeds the preset inclination range, the method includes:
s61: judging whether the angle of a surface formed by the stress point of the seat cushion sensor in the stress direction is larger than a preset angle range or not;
s62: if so, the balance point of the electric two-wheeled vehicle excessively tends to the stress point, and a preset pressure applicator is adopted to apply force to the stress direction opposite to the stress point, so that the balance point is balanced; and if not, monitoring the balance state of the electric two-wheel vehicle.
In the embodiment, a preset gravity sensor is arranged in the seat cushion and is changed into a seat cushion sensor, and whether the angle of a surface formed by stress points in the stress direction when a driver sits on the seat cushion is larger than the preset seat cushion angle is sensed by the seat cushion sensor so as to judge whether the sitting posture of the driver is dangerous or not; for example, if the angle of the surface of the stress point of the driver in the left stress direction on the seat cushion is 50 degrees and is greater than the preset seat cushion angle by 45 degrees, the driver can easily cause a traffic accident by continuously opening the electric two-wheeled vehicle in the sitting posture, and the preset pressure applicator can apply pressure to the surface of the stress point of the seat cushion in the right stress direction, so that the stress of the electric two-wheeled vehicle is balanced, and the possibility of traffic accidents is reduced; for example, if the angle of the surface of the force bearing point of the sitting posture of the driver on the seat cushion in the right force bearing direction is 35 degrees and is smaller than the preset seat cushion angle of 45 degrees, the driver can continuously keep the sitting posture and start the electric two-wheeled vehicle.
In this embodiment, before step S3 of acquiring a turning coefficient of an electric motorcycle and determining whether the turning coefficient is larger than a preset turning coefficient range, the method includes:
s301: a preset gyroscope is adopted to obtain a turning coefficient generated by turning of the electric two-wheel vehicle based on a seat cushion sensor of the electric two-wheel vehicle as a center; the gyroscope is specifically an angular motion detection device when the electric two-wheeled vehicle turns.
S302: and setting a turning coefficient threshold value generated by turning of the electric two-wheel vehicle as a preset turning coefficient range.
In the embodiment, a preset gyroscope is used for acquiring a turning coefficient generated when the electric two-wheeled vehicle turns based on a cushion of the electric two-wheeled vehicle as a center, and a dangerous turning coefficient when the turning coefficient generated by the electric two-wheeled vehicle reaches a dangerous condition is set; for example, the dangerous turning coefficient set by the electric two-wheeled vehicle is 30, and once a driver detects that the turning coefficient exceeds 30 when driving the electric two-wheeled vehicle to turn, the driver carries out chronic forced braking on the electric two-wheeled vehicle immediately so that the electric two-wheeled vehicle gradually stops at a slow speed; for example, if the turning coefficient is not more than 30 all the time when the driver drives the electric two-wheeled vehicle to turn, the gyroscope can keep monitoring the turning coefficient so as to avoid traffic accidents when the driver carries out dangerous driving actions to turn the electric two-wheeled vehicle.
In this embodiment, after step S1 of capturing the vehicle speed of the electric motorcycle and determining whether the vehicle speed is higher than a preset vehicle speed limit, the method includes:
s101: judging the degree of out-of-control of the electric two-wheeled vehicle according to whether the distance between the vehicle body and the obstacle is smaller than a preset distance when the electric two-wheeled vehicle turns;
s102: if so, the electric two-wheeled vehicle is in an out-of-control state, and an engine of the electric two-wheeled vehicle is forcibly braked; if not, the electric two-wheeled vehicle is in a non-runaway state, and the turning degree of the electric two-wheeled vehicle is monitored.
In the embodiment, the distance between the electric two-wheeled vehicle and an obstacle is detected through a radar system preset outside the electric two-wheeled vehicle so as to judge the safety condition of the electric two-wheeled vehicle; for example, when the electric two-wheeled vehicle is in a driving process, the distance between the electric two-wheeled vehicle and the obstacle is 3cm and is less than 5cm which is the preset safety distance of the radar system, the electric two-wheeled vehicle is in an out-of-control state, at the moment, the radar system informs a driver of paying attention to safety driving through a voice device, and the engine of the electric two-wheeled vehicle is forcibly braked so as to stop the electric two-wheeled vehicle from continuing to reduce the distance from the obstacle; for example, when the electric two-wheeled vehicle is in a driving process, the distance between the electric two-wheeled vehicle and an obstacle is 6cm, and the distance is not less than 5cm which is the safety distance preset by the radar system, the electric two-wheeled vehicle is in a non-runaway state, at the moment, the radar system only can pay attention to the obstacle through a voice device, the engine of the electric two-wheeled vehicle cannot be braked, and the safety distance monitoring of the obstacle is kept.
In this embodiment, before the step S101 of determining the degree of runaway of the electric motorcycle according to whether the distance from the obstacle when the electric motorcycle turns is less than the preset distance, the method includes:
s1011: capturing the distance between the electric two-wheeled vehicle and an obstacle by adopting a preset radar based on the outermost position of the electric two-wheeled vehicle; the radar is specifically a range radar for ranging the vehicle body and the obstacle in the moving process.
S1022: and setting the fixed distance between the periphery of the vehicle body and the barrier as a preset distance.
In the embodiment, a radar system installed in the electric two-wheeled vehicle emits sound waves to nearby obstacles based on the outermost position, and judges whether the distance between the obstacles nearby the electric two-wheeled vehicle and the electric two-wheeled vehicle is a safe distance or not by capturing the feedback time of the sound waves; for example, the radar system sends out sound waves based on the handle position of the electric two-wheeled vehicle, the distance between the handle position of the electric two-wheeled vehicle and the nearest obstacle is obtained through the captured return sound waves, for example, in the driving process of the electric two-wheeled vehicle, the distance between the electric two-wheeled vehicle and the obstacle is 3cm and is smaller than the preset safe distance of the radar system by 5cm, the electric two-wheeled vehicle is in an out-of-control state, at the moment, the radar system informs a driver of paying attention to safe driving through a voice device, and the engine of the electric two-wheeled vehicle is forcedly braked so as to stop the electric two-wheeled vehicle to continue reducing the distance with the obstacle; for example, the radar system sends out sound waves based on the tail position of the electric two-wheeled vehicle, the distance between the tail of the electric two-wheeled vehicle and the nearest obstacle is obtained through the captured return sound waves, for example, the electric two-wheeled vehicle is in a driving process, the distance between the electric two-wheeled vehicle and the obstacle is 6cm, the safety distance is not smaller than 5cm which is preset by the radar system, the electric two-wheeled vehicle is in a non-runaway state, at the moment, the radar system only can pay attention to the obstacle through a voice device, the engine of the electric two-wheeled vehicle cannot be braked, and the safety distance monitoring of the obstacle is kept.
In the present embodiment, if yes, the step S5 of acquiring the seat cushion inclination of the electric motorcycle includes:
s51: the method comprises the steps of collecting all stress points of a seat cushion of the electric two-wheel vehicle, comparing the stress points with preset balance stress points, and obtaining the stress direction of the stress points of the seat cushion.
In the embodiment, the stress point of the cushion is obtained through a preset sensor and is compared with a preset balance stress point to judge whether the stress point of the cushion is safe for the sitting posture of the driver; for example, if the stress point of the sitting posture of the driver on the cushion deviates to the left, the stress direction of the whole electric two-wheeled vehicle also deviates to the left at the moment, and the electric two-wheeled vehicle is easy to deviate to the left in the driving process, and the stress direction of the whole electric two-wheeled vehicle is balanced and cannot deviate to the left by the stress of the preset pressure sensor to the right direction of the cushion, so that traffic accidents caused by the fact that the electric two-wheeled vehicle deviates to the left in the driving process are avoided; for example, the driver's position of sitting is to the stress point of cushion backward direction partially, then the holistic atress direction of electronic two wheeler also can be partial to the rear this moment, the locomotive of electronic two wheeler perks easily at the in-process of traveling, make the holistic atress direction of electronic two wheeler balanced to the place ahead of cushion to the atress through predetermined pressure sensor this moment, electronic two wheeler can not lead to the locomotive perk because of the driver position of sitting too leaning on the back to avoid electronic two wheeler to take place the traffic accident at the in-process of traveling.
In this embodiment, if the voice is not transmitted, the step S7 of transmitting the voice guidance content based on the voice output terminal of the electric motorcycle using the predetermined voice device includes:
s71: and acquiring data information of contents needing voice prompt by adopting a preset loudspeaker, converting the data information into characters and sending the characters to a voice device.
In the embodiment, if a behavior exceeding preset data of the electric two-wheeled vehicle occurs in the process of driving the electric two-wheeled vehicle by a driver, a preset voice device of the electric two-wheeled vehicle can send out corresponding prompt contents to remind the driver of careful driving; for example, when the electric two-wheeled vehicle runs, the distance between the electric two-wheeled vehicle and the obstacle is 6cm, and the distance is not less than 5cm which is the preset safety distance of the radar system, the electric two-wheeled vehicle is in a non-runaway state, and the radar system can pay attention to the obstacle through a voice device by a driver; for example, when the electric two-wheeled vehicle is in a running process, the distance between the electric two-wheeled vehicle and an obstacle is 3cm and is less than 5cm which is the preset safety distance of the radar system, the electric two-wheeled vehicle is in an out-of-control state, and the radar system informs a driver to pay attention to safety driving through a voice device.
In the present embodiment, the step S1 of capturing the vehicle speed of the electric motorcycle and determining whether the vehicle speed is higher than the preset vehicle speed limit includes:
s11: detecting the motor power of the electric two-wheeled vehicle, and acquiring the rotating speed N and the rotating speed period T of the electric two-wheeled vehicle per second according to the motor power;
s12: calculating by adopting a formula X = (60S multiplied by N/T) multiplied by 2 to obtain the motor rotating speed X of the electric two-wheeled vehicle based on the rotating speed N and the rotating speed period T of the electric two-wheeled vehicle per second; and S is a time unit.
In the embodiment, a vehicle main controller is adopted to detect the motor power of the electric two-wheeled vehicle so as to obtain the rotating speed N, the rotating speed period T and the time unit S of the electric two-wheeled vehicle per second, and the motor rotating speed X of the electric two-wheeled vehicle is calculated by using a formula X = (60S × N/T) × 2; the motor rotating speed and the vehicle speed of the electric two-wheeled vehicle are in fixed direct proportion, namely the faster the motor rotating speed is, the higher the vehicle speed is; the method comprises the steps of acquiring the real-time speed of the electric two-wheeled vehicle by capturing the motor rotating speed of the electric two-wheeled vehicle, and judging whether the real-time speed is higher than a preset speed limit or not so as to determine whether the electric two-wheeled vehicle is safe or not in the driving process; for example, the captured real-time speed of the electric two-wheeled vehicle is 95, the preset speed limit is 90, the speed of the electric two-wheeled vehicle exceeds the preset speed limit, traffic accidents are easy to happen when the electric two-wheeled vehicle continues to run, the safety of a driver is damaged, the speed of the electric two-wheeled vehicle is weakened through the chronic forced braking engine until the real-time speed is lower than the preset speed limit, if the real-time speed of the driver driving the electric two-wheeled vehicle is higher than the preset speed limit again, the electric two-wheeled vehicle stops moving completely through the chronic forced braking engine, the voice device prompts the driver to overspeed twice, and the driver needs to start the electric two-wheeled vehicle again and remind the driver of driving normally.
In this embodiment, if the current value is greater than the predetermined critical turning time threshold, before the step S4 of setting the turning continuation time period of the electric motorcycle to be the predetermined critical turning time threshold, the method includes:
s401: recording the turning duration time of the electric two-wheeled vehicle during steering action by adopting a preset angle sensor so as to obtain the specific turning duration time; the angle sensor is used for recording the turning duration time when the turning angle of the electric two-wheeled vehicle is larger than a preset angle when the electric two-wheeled vehicle turns.
In the embodiment, the turning time kept when the driver controls the electric two-wheeled vehicle to perform the steering action is obtained through a preset angle sensor so as to judge whether the turning time is longer than the preset turning duration; for example, when the driver controls the electric two-wheeled vehicle to perform steering action, the turning time is kept to be 10s, the preset turning duration is 5s, the preset turning duration is exceeded, the driver is easy to have rollover accidents when continuing to drive, at the moment, the vehicle main controller acquires the abnormal turning state of the sensor, performs reverse turning behavior on the electric two-wheeled vehicle until the head of the electric two-wheeled vehicle is in a forward direction, and forcibly brakes the electric two-wheeled vehicle; for example, if the turning time kept when the driver controls the electric two-wheeled vehicle to perform the steering operation is 3 seconds, the preset turning duration time is not exceeded, so that the electric two-wheeled vehicle is not easy to cause a rollover traffic accident when the driver drives the electric two-wheeled vehicle to turn, and the turning direction of the electric two-wheeled vehicle does not need to be forcibly adjusted to be the forward direction.
Referring to fig. 2, a system for preventing rollover of an electric two-wheeled vehicle based on G-sensor data according to an embodiment of the present invention includes:
the first judgment module 10 is used for capturing the speed of the electric two-wheeled vehicle and judging whether the speed is higher than a preset speed limit;
the first execution module 20 is used for changing the color of a speed icon of the display of the electric two-wheel vehicle into red if the speed icon is higher than the display of the electric two-wheel vehicle; wherein the vehicle speed icon color comprises a green constant speed and a red overspeed;
the second judging module 30 is used for acquiring the turning coefficient of the electric two-wheel vehicle and judging whether the turning coefficient is larger than a preset turning coefficient range or not; the turning coefficient is specifically the inclination angle of the electric two-wheeled vehicle;
the second execution module 40 is used for judging whether the turning duration of the electric two-wheel vehicle is greater than a preset dangerous turning time threshold value if the turning duration of the electric two-wheel vehicle is greater than the preset dangerous turning time threshold value; the dangerous turning time threshold is specifically the preset turning duration time of the electric two-wheeled vehicle;
a first obtaining module 50, configured to obtain a seat cushion inclination of the electric two-wheeled vehicle if the seat cushion inclination is the same as the seat cushion inclination;
a third determining module 60, configured to monitor a seat cushion inclination of the electric two-wheeled vehicle based on a preset seat cushion sensor, and determine whether the seat cushion inclination exceeds a preset inclination range by comparing the seat cushion inclination with a preset inclination limit; the seat cushion deflection rate is specifically an angle corresponding to a deflection plane formed according to each stress point of the seat cushion;
the third execution module 70 is used for sending voice prompt contents based on the voice output end of the electric two-wheeled vehicle by adopting a preset voice device if the voice prompt contents exceed the preset voice output end; the voice prompt content is specifically used for informing a driver of controlling the seat cushion deflection rate and the deflection direction.
In this embodiment, the first determining module 10 captures a vehicle speed of the electric two-wheeled vehicle, determines whether the vehicle speed is higher than a preset vehicle speed limit, and if so, the first executing module 20 changes the color of a vehicle speed icon of a display of the electric two-wheeled vehicle to red, and determines the out-of-control degree of the electric two-wheeled vehicle according to whether the distance between the vehicle body and an obstacle is smaller than a preset distance when the electric two-wheeled vehicle turns; the second judging module 30 collects the turning coefficient of the electric two-wheeled vehicle, judges whether the turning coefficient is larger than a preset turning coefficient range, and acquires the turning coefficient generated by turning the electric two-wheeled vehicle by adopting a preset gyroscope based on a cushion sensor of the electric two-wheeled vehicle as a center, wherein the gyroscope is specifically an angular motion detection device when the electric two-wheeled vehicle performs turning action. Setting a turning coefficient threshold value generated by turning of the electric two-wheeled vehicle as a preset turning coefficient range; if the turning duration time of the electric two-wheeled vehicle is greater than the preset dangerous turning time threshold value, the second execution module 40 judges whether the turning duration time of the electric two-wheeled vehicle is greater than the preset dangerous turning time threshold value, a preset angle sensor is adopted to record the turning duration time when the electric two-wheeled vehicle performs the steering action so as to obtain the specific turning duration time, and the angle sensor specifically records the turning duration time when the turning angle of the electric two-wheeled vehicle is greater than the preset angle when the electric two-wheeled vehicle performs the turning; if the first obtaining module 50 is yes, obtaining the seat cushion deflection rate of the electric two-wheel vehicle, collecting each stress point of the seat cushion of the electric two-wheel vehicle, comparing the stress point with a preset balance stress point, and obtaining the stress direction of the stress point trend of the seat cushion; the third judging module 60 monitors the seat cushion deflection rate of the electric two-wheeled vehicle based on a preset seat cushion sensor, judges whether the seat cushion deflection rate exceeds the preset deflection range by comparing the seat cushion deflection rate with a preset deflection limit, judges whether the angle of a plane formed by stress points of the stress direction of the seat cushion sensor is larger than the preset angle range, if so, the balance point of the electric two-wheeled vehicle excessively tends to the stress point, applies force to the stress direction opposite to the stress point by adopting a preset pressure applicator, and enables the balance point to return to balance, and if not, the balance state of the electric two-wheeled vehicle is monitored; if the third execution module 70 exceeds the preset threshold, the preset voice device is adopted to send voice prompt contents based on the voice output end of the electric two-wheel vehicle, the preset loudspeaker is adopted to obtain data information needing voice prompt contents, and the data information is converted into characters and sent to the voice device.
In this embodiment, the third determining module further includes:
the first judgment unit is used for judging whether the angle of a surface formed by the stress point of the seat cushion sensor in the stress direction is larger than a preset angle range or not;
the first execution unit is used for enabling a balance point of the electric two-wheel vehicle to excessively tend to the stress point if the balance point is in the equilibrium state, and applying force to the stress point in the opposite stress direction by adopting a preset pressure applicator to enable the balance point to return to the equilibrium state; and if not, monitoring the balance state of the electric two-wheel vehicle.
In the embodiment, a preset gravity sensor is arranged in the seat cushion and is changed into a seat cushion sensor, and whether the angle of a surface formed by stress points in the stress direction when a driver sits on the seat cushion is larger than the preset seat cushion angle is sensed by the seat cushion sensor so as to judge whether the sitting posture of the driver is dangerous or not; for example, if the angle of the surface of the stress point of the driver in the left stress direction on the seat cushion is 50 degrees and is greater than the preset seat cushion angle by 45 degrees, the driver can easily cause a traffic accident by continuously opening the electric two-wheeled vehicle in the sitting posture, and the preset pressure applicator can apply pressure to the surface of the stress point of the seat cushion in the right stress direction, so that the stress of the electric two-wheeled vehicle is balanced, and the possibility of traffic accidents is reduced; for example, if the angle of the surface of the force bearing point of the sitting posture of the driver on the seat cushion in the right force bearing direction is 35 degrees and is smaller than the preset seat cushion angle of 45 degrees, the driver can continuously keep the sitting posture and start the electric two-wheeled vehicle.
In this embodiment, the method further includes:
the second acquisition module is used for acquiring a turning coefficient generated by turning of the electric two-wheel vehicle by adopting a preset gyroscope based on a seat cushion sensor of the electric two-wheel vehicle as a center; the gyroscope is specifically an angular motion detection device when the electric two-wheeled vehicle turns.
The first setting module is used for setting a turning coefficient threshold value generated by turning of the electric two-wheeled vehicle to be a preset turning coefficient range.
In the embodiment, a preset gyroscope is used for acquiring a turning coefficient generated when the electric two-wheeled vehicle turns based on a cushion of the electric two-wheeled vehicle as a center, and a dangerous turning coefficient when the turning coefficient generated by the electric two-wheeled vehicle reaches a dangerous condition is set; for example, the dangerous turning coefficient set by the electric two-wheeled vehicle is 30, and once a driver detects that the turning coefficient exceeds 30 when driving the electric two-wheeled vehicle to turn, the driver carries out chronic forced braking on the electric two-wheeled vehicle immediately so that the electric two-wheeled vehicle gradually stops at a slow speed; for example, if the turning coefficient is not more than 30 all the time when the driver drives the electric two-wheeled vehicle to turn, the gyroscope can keep monitoring the turning coefficient so as to avoid traffic accidents when the driver carries out dangerous driving actions to turn the electric two-wheeled vehicle.
In this embodiment, the method further includes:
the fourth judgment module is used for judging the degree of out-of-control of the electric two-wheeled vehicle according to whether the distance between the vehicle body and the obstacle is smaller than the preset distance when the electric two-wheeled vehicle turns;
the fourth execution module is used for performing forced braking on an engine of the electric two-wheel vehicle if the electric two-wheel vehicle is in an out-of-control state; if not, the electric two-wheeled vehicle is in a non-runaway state, and the turning degree of the electric two-wheeled vehicle is monitored.
In the embodiment, the distance between the electric two-wheeled vehicle and an obstacle is detected through a radar system preset outside the electric two-wheeled vehicle so as to judge the safety condition of the electric two-wheeled vehicle; for example, when the electric two-wheeled vehicle is in a driving process, the distance between the electric two-wheeled vehicle and the obstacle is 3cm and is less than 5cm which is the preset safety distance of the radar system, the electric two-wheeled vehicle is in an out-of-control state, at the moment, the radar system informs a driver of paying attention to safety driving through a voice device, and the engine of the electric two-wheeled vehicle is forcibly braked so as to stop the electric two-wheeled vehicle from continuing to reduce the distance from the obstacle; for example, when the electric two-wheeled vehicle is in a driving process, the distance between the electric two-wheeled vehicle and an obstacle is 6cm, and the distance is not less than 5cm which is the safety distance preset by the radar system, the electric two-wheeled vehicle is in a non-runaway state, at the moment, the radar system only can pay attention to the obstacle through a voice device, the engine of the electric two-wheeled vehicle cannot be braked, and the safety distance monitoring of the obstacle is kept.
In this embodiment, the fourth determining module further includes:
the first capturing module is used for capturing the distance between the electric two-wheeled vehicle and an obstacle based on the outermost position of the electric two-wheeled vehicle by adopting a preset radar; the radar is specifically a range radar for ranging the vehicle body and the obstacle in the moving process.
And the second setting module is used for setting the fixed distance between the periphery of the vehicle body and the barrier to be a preset distance.
In the embodiment, a radar system installed in the electric two-wheeled vehicle emits sound waves to nearby obstacles based on the outermost position, and judges whether the distance between the obstacles nearby the electric two-wheeled vehicle and the electric two-wheeled vehicle is a safe distance or not by capturing the feedback time of the sound waves; for example, the radar system sends out sound waves based on the handle position of the electric two-wheeled vehicle, the distance between the handle position of the electric two-wheeled vehicle and the nearest obstacle is obtained through the captured return sound waves, for example, in the driving process of the electric two-wheeled vehicle, the distance between the electric two-wheeled vehicle and the obstacle is 3cm and is smaller than the preset safe distance of the radar system by 5cm, the electric two-wheeled vehicle is in an out-of-control state, at the moment, the radar system informs a driver of paying attention to safe driving through a voice device, and the engine of the electric two-wheeled vehicle is forcedly braked so as to stop the electric two-wheeled vehicle to continue reducing the distance with the obstacle; for example, the radar system sends out sound waves based on the tail position of the electric two-wheeled vehicle, the distance between the tail of the electric two-wheeled vehicle and the nearest obstacle is obtained through the captured return sound waves, for example, the electric two-wheeled vehicle is in a driving process, the distance between the electric two-wheeled vehicle and the obstacle is 6cm, the safety distance is not smaller than 5cm which is preset by the radar system, the electric two-wheeled vehicle is in a non-runaway state, at the moment, the radar system only can pay attention to the obstacle through a voice device, the engine of the electric two-wheeled vehicle cannot be braked, and the safety distance monitoring of the obstacle is kept.
In this embodiment, the first obtaining module further includes:
the first acquisition unit is used for acquiring each stress point of the seat cushion of the electric two-wheel vehicle, comparing the stress point with a preset balance stress point and acquiring the stress direction of the trend of the stress point of the seat cushion.
In the embodiment, the stress point of the cushion is obtained through a preset sensor and is compared with a preset balance stress point to judge whether the stress point of the cushion is safe for the sitting posture of the driver; for example, if the stress point of the sitting posture of the driver on the cushion deviates to the left, the stress direction of the whole electric two-wheeled vehicle also deviates to the left at the moment, and the electric two-wheeled vehicle is easy to deviate to the left in the driving process, and the stress direction of the whole electric two-wheeled vehicle is balanced and cannot deviate to the left by the stress of the preset pressure sensor to the right direction of the cushion, so that traffic accidents caused by the fact that the electric two-wheeled vehicle deviates to the left in the driving process are avoided; for example, the driver's position of sitting is to the stress point of cushion backward direction partially, then the holistic atress direction of electronic two wheeler also can be partial to the rear this moment, the locomotive of electronic two wheeler perks easily at the in-process of traveling, make the holistic atress direction of electronic two wheeler balanced to the place ahead of cushion to the atress through predetermined pressure sensor this moment, electronic two wheeler can not lead to the locomotive perk because of the driver position of sitting too leaning on the back to avoid electronic two wheeler to take place the traffic accident at the in-process of traveling.
In this embodiment, the third executing module further includes:
and the second acquisition unit is used for acquiring data information needing voice prompt content by adopting a preset loudspeaker, converting the data information into characters and sending the characters to the voice device.
In the embodiment, if a behavior exceeding preset data of the electric two-wheeled vehicle occurs in the process of driving the electric two-wheeled vehicle by a driver, a preset voice device of the electric two-wheeled vehicle can send out corresponding prompt contents to remind the driver of careful driving; for example, when the electric two-wheeled vehicle runs, the distance between the electric two-wheeled vehicle and the obstacle is 6cm, and the distance is not less than 5cm which is the preset safety distance of the radar system, the electric two-wheeled vehicle is in a non-runaway state, and the radar system can pay attention to the obstacle through a voice device by a driver; for example, when the electric two-wheeled vehicle is in a running process, the distance between the electric two-wheeled vehicle and an obstacle is 3cm and is less than 5cm which is the preset safety distance of the radar system, the electric two-wheeled vehicle is in an out-of-control state, and the radar system informs a driver to pay attention to safety driving through a voice device.
In this embodiment, the first determining module further includes:
the third acquisition unit is used for detecting the motor power of the electric two-wheel vehicle and acquiring the rotating speed N and the rotating speed period T of the electric two-wheel vehicle per second according to the motor power;
a fourth obtaining unit, configured to calculate, based on the rotation speed N and the rotation speed period T of the electric two-wheeled vehicle per second, by using a formula X = (60 sxn/T) × 2 to obtain a motor rotation speed X of the electric two-wheeled vehicle; and S is a time unit.
In the embodiment, a vehicle main controller is adopted to detect the motor power of the electric two-wheeled vehicle so as to obtain the rotating speed N, the rotating speed period T and the time unit S of the electric two-wheeled vehicle per second, and the motor rotating speed X of the electric two-wheeled vehicle is calculated by using a formula X = (60S × N/T) × 2; the motor rotating speed and the vehicle speed of the electric two-wheeled vehicle are in fixed direct proportion, namely the faster the motor rotating speed is, the higher the vehicle speed is; the method comprises the steps of acquiring the real-time speed of the electric two-wheeled vehicle by capturing the motor rotating speed of the electric two-wheeled vehicle, and judging whether the real-time speed is higher than a preset speed limit or not so as to determine whether the electric two-wheeled vehicle is safe or not in the driving process; for example, the captured real-time speed of the electric two-wheeled vehicle is 95, the preset speed limit is 90, the speed of the electric two-wheeled vehicle exceeds the preset speed limit, traffic accidents are easy to happen when the electric two-wheeled vehicle continues to run, the safety of a driver is damaged, the speed of the electric two-wheeled vehicle is weakened through the chronic forced braking engine until the real-time speed is lower than the preset speed limit, if the real-time speed of the driver driving the electric two-wheeled vehicle is higher than the preset speed limit again, the electric two-wheeled vehicle stops moving completely through the chronic forced braking engine, the voice device prompts the driver to overspeed twice, and the driver needs to start the electric two-wheeled vehicle again and remind the driver of driving normally.
In this embodiment, the method further includes:
the third acquisition module is used for recording the turning duration time when the electric two-wheeled vehicle performs steering action by adopting a preset angle sensor so as to acquire the specific turning duration time; the angle sensor is used for recording the turning duration time when the turning angle of the electric two-wheeled vehicle is larger than a preset angle when the electric two-wheeled vehicle turns.
In the embodiment, the turning time kept when the driver controls the electric two-wheeled vehicle to perform the steering action is obtained through a preset angle sensor so as to judge whether the turning time is longer than the preset turning duration; for example, when the driver controls the electric two-wheeled vehicle to perform steering action, the turning time is kept to be 10s, the preset turning duration is 5s, the preset turning duration is exceeded, the driver is easy to have rollover accidents when continuing to drive, at the moment, the vehicle main controller acquires the abnormal turning state of the sensor, performs reverse turning behavior on the electric two-wheeled vehicle until the head of the electric two-wheeled vehicle is in a forward direction, and forcibly brakes the electric two-wheeled vehicle; for example, if the turning time kept when the driver controls the electric two-wheeled vehicle to perform the steering operation is 3 seconds, the preset turning duration time is not exceeded, so that the electric two-wheeled vehicle is not easy to cause a rollover traffic accident when the driver drives the electric two-wheeled vehicle to turn, and the turning direction of the electric two-wheeled vehicle does not need to be forcibly adjusted to be the forward direction.
Claims (10)
1. A method for preventing rollover of an electric two-wheeled vehicle based on G-sensor data is characterized by comprising the following steps:
capturing the speed of the electric two-wheeled vehicle, and judging whether the speed is higher than a preset speed limit or not;
if the vehicle speed icon is higher than the preset speed threshold value, changing the color of the vehicle speed icon of the display of the electric two-wheel vehicle into red; wherein the vehicle speed icon color comprises a green constant speed and a red overspeed;
collecting a turning coefficient of the electric two-wheeled vehicle, and judging whether the turning coefficient is larger than a preset turning coefficient range; the turning coefficient is specifically the inclination angle of the electric two-wheeled vehicle;
if so, judging whether the turning duration time of the electric two-wheel vehicle is greater than a preset dangerous turning time threshold value or not; the dangerous turning time threshold is specifically the preset turning duration time of the electric two-wheeled vehicle;
if so, acquiring the seat cushion deflection rate of the electric two-wheeled vehicle;
monitoring a seat cushion deflection rate of the electric two-wheeled vehicle based on a preset seat cushion sensor, and judging whether the seat cushion deflection rate exceeds a preset deflection range or not by comparing the seat cushion deflection rate with a preset deflection limit; the seat cushion deflection rate is specifically an angle corresponding to a deflection plane formed according to each stress point of the seat cushion;
if the speed exceeds the preset speed threshold value, a preset voice device is adopted to send voice prompt contents based on the voice output end of the electric two-wheel vehicle; the voice prompt content is specifically used for informing a driver of controlling the seat cushion deflection rate and the deflection direction.
2. The method of claim 1, wherein the step of monitoring a seat cushion deflection rate of the electric motorcycle based on the predetermined seat cushion sensor, comparing the seat cushion deflection rate with a predetermined deflection limit, and determining whether the seat cushion deflection rate exceeds the predetermined deflection range comprises:
judging whether the angle of a surface formed by the stress point of the seat cushion sensor in the stress direction is larger than a preset angle range or not;
if so, the balance point of the electric two-wheeled vehicle excessively tends to the stress point, and a preset pressure applicator is adopted to apply force to the stress direction opposite to the stress point, so that the balance point is balanced; and if not, monitoring the balance state of the electric two-wheel vehicle.
3. The method for preventing the electric two-wheeled vehicle from rolling over based on the G-sensor data as claimed in claim 1, wherein before the step of collecting the turning coefficient of the electric two-wheeled vehicle and judging whether the turning coefficient is larger than a preset turning coefficient range, the method comprises the following steps:
a preset gyroscope is adopted to obtain a turning coefficient generated by turning of the electric two-wheel vehicle based on a seat cushion sensor of the electric two-wheel vehicle as a center; the gyroscope is specifically an angular motion detection device when the electric two-wheeled vehicle turns; and setting a turning coefficient threshold value generated by turning of the electric two-wheel vehicle as a preset turning coefficient range.
4. The method for preventing the electric two-wheeled vehicle from rolling over based on the G-sensor data as claimed in claim 1, wherein the step of capturing the vehicle speed of the electric two-wheeled vehicle and judging whether the vehicle speed is higher than a preset vehicle speed limit comprises the following steps:
judging the degree of out-of-control of the electric two-wheeled vehicle according to whether the distance between the vehicle body and the obstacle is smaller than a preset distance when the electric two-wheeled vehicle turns;
if so, the electric two-wheeled vehicle is in an out-of-control state, and an engine of the electric two-wheeled vehicle is forcibly braked; if not, the electric two-wheeled vehicle is in a non-runaway state, and the turning degree of the electric two-wheeled vehicle is monitored.
5. The method for preventing the electric two-wheeled vehicle from rolling over based on the G-sensor data as claimed in claim 4, wherein the step of judging the degree of runaway of the electric two-wheeled vehicle according to whether the distance from the obstacle when the electric two-wheeled vehicle turns is less than a preset distance comprises the following steps:
capturing the distance between the electric two-wheeled vehicle and an obstacle by adopting a preset radar based on the outermost position of the electric two-wheeled vehicle; the radar is specifically a distance measuring radar for measuring distance between the vehicle body and the obstacle in the movement process; and setting the fixed distance between the periphery of the vehicle body and the barrier as a preset distance.
6. The method for preventing rollover of an electric motorcycle according to claim 1, wherein said step of obtaining a seat cushion inclination of said electric motorcycle if said step is performed comprises:
the method comprises the steps of collecting all stress points of a seat cushion of the electric two-wheel vehicle, comparing the stress points with preset balance stress points, and obtaining the stress direction of the stress points of the seat cushion.
7. The method for preventing the electric two-wheeled vehicle from rolling over based on the G-sensor data as claimed in claim 1, wherein if the vehicle rollover is exceeded, the step of sending the voice prompt content based on the voice output end of the electric two-wheeled vehicle by using a preset voice device comprises:
and acquiring data information of contents needing voice prompt by adopting a preset loudspeaker, converting the data information into characters and sending the characters to a voice device.
8. The method for preventing the electric two-wheeled vehicle from rolling over based on the G-sensor data as claimed in claim 1, wherein the step of capturing the vehicle speed of the electric two-wheeled vehicle and determining whether the vehicle speed is higher than a preset vehicle speed limit comprises the following steps:
detecting the motor power of the electric two-wheeled vehicle, and acquiring the rotating speed N and the rotating speed period T of the electric two-wheeled vehicle per second according to the motor power;
calculating by adopting a formula X = (60S multiplied by N/T) multiplied by 2 to obtain the motor rotating speed X of the electric two-wheeled vehicle based on the rotating speed N and the rotating speed period T of the electric two-wheeled vehicle per second; and S is a time unit.
9. The method for preventing rollover of an electric two-wheeled vehicle based on G-sensor data as set forth in claim 1, wherein the step of setting the duration of the turn of the electric two-wheeled vehicle to be a preset dangerous turning time threshold if the duration of the turn is greater than the preset dangerous turning time threshold comprises the steps of:
recording the turning duration time of the electric two-wheeled vehicle during steering action by adopting a preset angle sensor so as to obtain the specific turning duration time; the angle sensor is used for recording the turning duration time when the turning angle of the electric two-wheeled vehicle is larger than a preset angle when the electric two-wheeled vehicle turns.
10. A system for preventing rollover of an electric two-wheeled vehicle based on G-sensor data is characterized by comprising:
the first judgment module is used for capturing the speed of the electric two-wheel vehicle and judging whether the speed is higher than a preset speed limit or not;
the first execution module is used for changing the color of a speed icon of the display of the electric two-wheel vehicle into red if the speed icon is higher than the first execution module; wherein the vehicle speed icon color comprises a green constant speed and a red overspeed;
the second judgment module is used for acquiring the turning coefficient of the electric two-wheel vehicle and judging whether the turning coefficient is larger than a preset turning coefficient range or not; the turning coefficient is specifically the inclination angle of the electric two-wheeled vehicle;
the second execution module is used for judging whether the turning duration of the electric two-wheel vehicle is greater than a preset dangerous turning time threshold value or not if the turning duration of the electric two-wheel vehicle is greater than the preset dangerous turning time threshold value; the dangerous turning time threshold is specifically the preset turning duration time of the electric two-wheeled vehicle;
the first obtaining module is used for obtaining the seat cushion deflection rate of the electric two-wheel vehicle if the seat cushion deflection rate is positive;
the third judgment module is used for monitoring the seat cushion deflection rate of the electric two-wheeled vehicle based on a preset seat cushion sensor, and judging whether the seat cushion deflection rate exceeds the preset deflection range or not by comparing the seat cushion deflection rate with a preset deflection limit; the seat cushion deflection rate is specifically an angle corresponding to a deflection plane formed according to each stress point of the seat cushion;
the third execution module is used for sending voice prompt contents based on the voice output end of the electric two-wheel vehicle by adopting a preset voice device if the voice prompt contents exceed the preset voice output end; the voice prompt content is specifically used for informing a driver of controlling the seat cushion deflection rate and the deflection direction.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210275588.6A CN114348157B (en) | 2022-03-21 | 2022-03-21 | Method and system for preventing electric two-wheeled vehicle from rollover based on G-sensor data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210275588.6A CN114348157B (en) | 2022-03-21 | 2022-03-21 | Method and system for preventing electric two-wheeled vehicle from rollover based on G-sensor data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114348157A true CN114348157A (en) | 2022-04-15 |
| CN114348157B CN114348157B (en) | 2022-05-24 |
Family
ID=81094540
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210275588.6A Active CN114348157B (en) | 2022-03-21 | 2022-03-21 | Method and system for preventing electric two-wheeled vehicle from rollover based on G-sensor data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114348157B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1918013A (en) * | 2004-02-13 | 2007-02-21 | 弗里德里克·盖泽 | Multitrack curve-tilting vehicle, and method for tilting a vehicle |
| US20120283929A1 (en) * | 2010-09-13 | 2012-11-08 | Yumi Wakita | Riding type vehicle and method of controlling riding type vehicle |
| CN106314645A (en) * | 2015-06-23 | 2017-01-11 | 代志斌 | Vehicle balancing device and method for adjusting vehicle balance |
| WO2017030130A1 (en) * | 2015-08-17 | 2017-02-23 | ヤマハ発動機株式会社 | Leaning vehicle |
| JP2017210896A (en) * | 2016-05-24 | 2017-11-30 | スズキ株式会社 | Supercharging pressure control device |
| CN109850039A (en) * | 2019-03-20 | 2019-06-07 | 武汉理工大学 | A kind of electric two-wheel vehicle danger riding condition monitoring system and method |
| CN110288221A (en) * | 2019-06-19 | 2019-09-27 | 高新兴物联科技有限公司 | A kind of driving behavior points-scoring system and methods of marking |
-
2022
- 2022-03-21 CN CN202210275588.6A patent/CN114348157B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1918013A (en) * | 2004-02-13 | 2007-02-21 | 弗里德里克·盖泽 | Multitrack curve-tilting vehicle, and method for tilting a vehicle |
| US20120283929A1 (en) * | 2010-09-13 | 2012-11-08 | Yumi Wakita | Riding type vehicle and method of controlling riding type vehicle |
| CN106314645A (en) * | 2015-06-23 | 2017-01-11 | 代志斌 | Vehicle balancing device and method for adjusting vehicle balance |
| WO2017030130A1 (en) * | 2015-08-17 | 2017-02-23 | ヤマハ発動機株式会社 | Leaning vehicle |
| JP2017210896A (en) * | 2016-05-24 | 2017-11-30 | スズキ株式会社 | Supercharging pressure control device |
| CN109850039A (en) * | 2019-03-20 | 2019-06-07 | 武汉理工大学 | A kind of electric two-wheel vehicle danger riding condition monitoring system and method |
| CN110288221A (en) * | 2019-06-19 | 2019-09-27 | 高新兴物联科技有限公司 | A kind of driving behavior points-scoring system and methods of marking |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114348157B (en) | 2022-05-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8954238B2 (en) | Vehicle emergency evacuation device | |
| CN101945793B (en) | Spacing adjustable type speed control system | |
| JP2018118716A (en) | Saddle-riding type vehicle with autonomous braking and method of operating autonomous braking | |
| CN112319491B (en) | Safe driving early warning method and system | |
| CN103625463B (en) | A kind of vehicle automatically controls the method and device of braking | |
| CN105235681A (en) | Vehicle rear-end collision preventing system and method based on road surface conditions | |
| CN207274424U (en) | A kind of fatigue driving warning system | |
| KR101313146B1 (en) | Adaptive cruise control system and the adaptive cruise control mehtod | |
| JP2010538383A (en) | Method and apparatus for warning automobile drivers when the risk of an accident is high | |
| CN108859866B (en) | Emergency braking early warning control method and device and automobile | |
| CN115366908B (en) | Automobile safe driving control system | |
| CN114348157B (en) | Method and system for preventing electric two-wheeled vehicle from rollover based on G-sensor data | |
| CN106394673A (en) | Driver attention monitoring and warning system suitable for uneven road surface | |
| JP2022513741A (en) | Methods and equipment for performing autonomous braking in two-wheeled vehicles | |
| CN111169474A (en) | Autonomous emergency steering avoidance auxiliary device and method | |
| CN112660064B (en) | Method and device for controlling safety belt in vehicle, computer equipment and storage medium | |
| CN107244320A (en) | A kind of method and device for avoiding vehicle collision | |
| US20230026459A1 (en) | Method and device for classifying an accident event involving a two-wheeled vehicle | |
| CN113335295A (en) | Fatigue driving early warning method and device | |
| CN109733471A (en) | A kind of intelligent steering system | |
| CN111959488B (en) | Method and device for controlling vehicle, storage medium and vehicle | |
| KR100436524B1 (en) | Preliminary Hazard Analysis Technology for Driving the Automobiles | |
| CN111846045A (en) | Method for warning a motorcycle driver, and ride assist control and motorcycle implementing such a method | |
| CN115042856A (en) | Motor vehicle auxiliary steering method and device, line control controller and motor vehicle | |
| CN210634626U (en) | Automobile rollover prevention system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |