CN115675430B - System and method for predicting braking thermal failure and actively intervening of long downhill road section automobile - Google Patents
System and method for predicting braking thermal failure and actively intervening of long downhill road section automobile Download PDFInfo
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Abstract
The invention relates to a system and a method for predicting and actively intervening braking thermal failure of an automobile on a long downhill road section, comprising the following steps of: acquiring current vehicle parameters of a target vehicle, and predicting the temperature of a braking element in a brake when the target vehicle reaches the bottom of a slope to obtain a predicted temperature; judging the braking thermal failure risk of the target vehicle based on the predicted temperature, and alarming and actively intervening based on a judging result; and predicting the temperature of a braking element in the brake again when the target vehicle reaches the bottom of the slope based on the vehicle parameters after the active intervention and the real-time driving parameters, and alarming if the risk of braking heat failure still exists. The invention can more effectively predict the braking heat failure, and actively intervene when the vehicle has the risk of the braking heat failure, thereby ensuring the driving safety of the vehicle. Therefore, the invention can be widely applied to the field of vehicle braking.
Description
Technical Field
The invention relates to a system and a method for predicting and actively intervening braking thermal failure of an automobile on a long downhill road section, belonging to the field of vehicle braking control.
Background
The topography of China is high and low in the east and the west, the topography is complex, the topography features mainly comprise the highland, the mountain, the hilly and the mountain area, and the topography drop is large. Due to the limitation of the terrain and the topography conditions, the expressway often has a long downhill road section with a large gradient and a long ramp, and the traffic safety hidden trouble is continuously increased. According to the related investigation, the long downhill road section is a high-rise road section of the traffic accident. During long downhill road travel, in order to maintain a certain vehicle speed, a continuous service braking operation by a driver may cause the brake element of the brake to be too high in temperature, thereby causing heat deterioration of braking performance, even braking failure.
Although some methods of active intervention in the thermal failure of the brakes of a car are currently occurring, they nevertheless differ in: the temperature of a brake element of the brake is only carried out at the current moment, the temperature of the brake element in the future is not predicted according to the running state of the vehicle, and active intervention is not carried out in advance; when the system judges that the temperature of the braking element is too high at the moment and the central processing unit judges that the calculated gear is not smaller than the current gear, the active intervention system does not perform any prevention and control operation, and potential safety hazards are not thoroughly solved.
Disclosure of Invention
Aiming at the technical problem that the improper continuous service braking operation (too high gear and too much service braking) of partial drivers on a long downhill road section is easy to cause braking failure of a braking element due to too high temperature at present, the invention aims to provide a system and a method for predicting and actively intervening the braking thermal failure of an automobile on the long downhill road section, based on the current and historical temperature data of the running state of the automobile and the temperature of the braking element of a brake, a temperature rise prediction model of the braking element is corrected in a rolling way, the temperature of the braking element at the bottom of the long downhill slope is predicted by utilizing the corrected prediction model, the prediction accuracy is effectively improved, and the active intervention is timely carried out.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
in a first aspect, the invention provides a method for predicting and actively intervening braking thermal failure of an automobile on a long downhill road section, comprising the following steps:
acquiring current vehicle parameters of a target vehicle, and predicting the temperature of a braking element in a brake when the target vehicle reaches the bottom of a slope to obtain a predicted temperature;
judging the braking thermal failure risk of the target vehicle based on the predicted temperature, and alarming and actively intervening based on a judging result;
and predicting the temperature of a braking element in the brake again when the target vehicle reaches the bottom of the slope based on the vehicle parameters after the active intervention and the real-time driving parameters, and alarming if the risk of braking heat failure still exists.
Further, the current vehicle parameters of the target vehicle are obtained, and the temperature of a braking element in a brake is predicted when the target vehicle reaches the bottom of a slope, so that the predicted temperature is obtained;
acquiring position information, vehicle speed information and current temperature information of a brake element of a target vehicle;
and carrying out rolling correction on a pre-constructed temperature prediction model of the braking element under different gradients based on the acquired position information, vehicle speed information and current temperature information of the braking element of the target vehicle, and predicting the temperature of the braking element in the brake when the target vehicle reaches the bottom of the gradient to obtain a predicted temperature.
Further, the temperature prediction model of the braking element under different gradients is as follows:
T(t)＝(k a i-k b )t+T 0
wherein i is the gradient of a long downhill slope; k (k) a And k b Is a parameter related to a vehicle parameter and a running state; t is the driving time; t (T) 0 An initial temperature for the braking element; t (T) is the predicted temperature of the braking element.
Further, the method for performing rolling correction on a pre-constructed temperature prediction model of the brake element under different gradients based on the obtained position information, the vehicle speed information and the current temperature information of the brake element of the target vehicle, and predicting the temperature of the brake element in the brake when the target vehicle reaches the bottom of the gradient to obtain a predicted temperature comprises the following steps:
1.2.1 At the start of a long downhill slope giving k a 、k b And takes the temperature of the braking element when the target vehicle is at the top of a long downhill slope as the initial temperature T 0 ；
1.2.2 To k) a 、k b Substituting a brake element temperature prediction model to predict the temperature of a brake element of a preset temperature measuring point;
1.2.3 Judging whether the error of the temperature measured value and the predicted value of the temperature measuring point braking element is smaller than a threshold value M, if yes, executing the step 1.2.4), and if not, executing the step 1.2.6);
1.2.4 Judging the same group k a 、k b Then, whether the errors of the measured value and the predicted value at each temperature measuring point are continuously smaller than a threshold value M for N times or not, if yes, executing the step 1.2.5), and if not, executing the step 1.2.2);
1.2.5 Using the current k a 、k b Predicting the temperature of a braking element at the bottom of a long downhill slope;
1.2.6 For containing the current k a 、k b Sampling is carried out in a preset interval range of the (4) to obtain a plurality of groups of sampling values;
1.2.7 To k) a 、k b Substituting a plurality of groups of sampling values into a brake element temperature prediction model to predict the temperature of the brake element at the temperature measuring point;
1.2.8 Comparing the measured value with the predicted value to select a group of optimal k a 、k b Step 1.2.2) is performed to obtain a predicted temperature.
Further, the temperature measurement of the brake element is obtained by a brake element temperature measurement module mounted on the brake.
Further, the method for judging the risk of thermal failure of the brake of the target vehicle based on the predicted temperature and alarming and actively intervening based on the judging result comprises the following steps:
judging whether the temperature of the braking element exceeds a threshold K when the slope bottom is reached, if so, executing the next step, otherwise, continuously predicting the temperature of the braking element when the slope bottom is reached;
the driver is alerted to the risk of thermal failure of the brake before reaching the bottom of the hill and the transmission of the target vehicle is adjusted to the lowest gear, while at the same time minimizing service braking while maintaining a safe distance from the lead vehicle.
In a second aspect, the present invention provides a long downhill road section automobile brake thermal failure prediction and active intervention system, comprising:
the temperature prediction unit is used for obtaining current vehicle parameters and running state parameters of the target vehicle, predicting the temperature of a brake element in the brake when the target vehicle reaches the bottom of a slope, and obtaining a predicted temperature;
the active intervention unit is used for judging the braking thermal failure risk of the target vehicle based on the predicted temperature and alarming and actively intervening based on a judging result;
and the risk alarming unit is used for predicting the temperature of the braking element in the brake again when the target vehicle reaches the bottom of the slope based on the vehicle parameters and the real-time running parameters after the active intervention, and alarming if the risk of braking thermal failure still exists.
Further, the temperature prediction unit comprises a brake element temperature measurement module, a navigation device, a vehicle speed measurement device and a brake element temperature prediction module; the brake element temperature measuring module, the navigation device and the vehicle speed measuring device are respectively used for detecting temperature information, position information and vehicle speed information of a target vehicle brake element and sending the temperature information, the position information and the vehicle speed information to the brake element temperature predicting module; the brake element temperature prediction module is used for predicting the temperature of a brake element in a brake when a target vehicle reaches the bottom of a slope to obtain a predicted temperature.
In a third aspect, the present invention provides a processing device, at least comprising a processor and a memory, the memory having stored thereon a computer program, the processor executing the steps of the method for predicting and actively intervening in braking thermal failure of an automobile on a long downhill road section when running the computer program.
In a fourth aspect, the present invention provides a computer storage medium having stored thereon computer readable instructions executable by a processor to perform the steps of the long downhill road segment automobile brake thermal failure prediction and active intervention method.
Due to the adoption of the technical scheme, the invention has the following advantages:
1. according to the invention, the temperature rise prediction model of the braking element is corrected in a rolling way according to the running state of the vehicle and the current and historical temperature data of the temperature of the braking element of the brake, and the temperature of the braking element at the bottom of a long downhill slope is predicted by using the corrected prediction model, so that the accuracy of the predicted temperature is ensured;
2. the invention is provided with an active intervention mechanism, when the predicted brake element temperature of the brake is too high, the system alarms the driver that the brake thermal failure risk exists at present, and the long downhill brake auxiliary system is started to actively intervene the brake operation of the driver so as to optimize the brake process;
3. when the braking system still has higher risk of braking heat decay after the braking process is actively interfered, the driver is prompted to drive the vehicle into an emergency lane or a braking cooling area, and the driving safety is further ensured.
Therefore, the invention can be widely applied to the field of vehicle brake control.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Like parts are designated with like reference numerals throughout the drawings. In the drawings:
FIG. 1 is a flow chart of a method for predicting and actively intervening braking thermal failure of an automobile on a long downhill road section provided by an embodiment of the invention;
FIG. 2 is a flow chart of brake element temperature prediction provided by an embodiment of the present invention;
fig. 3 is a block diagram of a system for predicting braking thermal failure and actively intervening of an automobile on a long downhill road section according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which are obtained by a person skilled in the art based on the described embodiments of the invention, fall within the scope of protection of the invention.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the present application. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
In some embodiments of the invention, a method for predicting and actively intervening braking thermal failure of an automobile on a long downhill road section is provided, wherein during the downhill process of the automobile, a rolling correction is performed on a braking element temperature rise prediction model according to the running state of the automobile and current temperature and historical temperature data of a braking element in a brake, and the temperature of the braking element at the bottom of the long downhill slope is predicted. When the predicted brake element temperature of the brake is too high, the risk that the brake heat of the vehicle is invalid at present is prompted to a driver, and a long downhill brake auxiliary system is started to actively intervene in the brake operation of the driver to optimize the brake process, so that the brake element of the brake is invalid due to the fact that the driver adopts the improper service brake to limit the speed for a long time. When the active intervention braking process still has higher risk of braking heat decay, the driver is warned that the current risk of braking heat decay still exists, and the vehicle needs to be driven into an emergency lane or a braking cooling area. The invention can more effectively predict the braking heat failure, and actively intervene when the vehicle has the risk of the braking heat failure, thereby ensuring the driving safety of the vehicle.
In accordance therewith, in other embodiments of the present invention, a long downhill road segment automotive braking thermal failure prediction and active intervention system is provided.
Example 1
As shown in fig. 1, the embodiment provides a method for predicting and actively intervening braking thermal failure of an automobile on a long downhill road section, which comprises the following steps:
1) Acquiring current vehicle parameters of a target vehicle, and predicting the temperature of a braking element in a brake when the target vehicle reaches the bottom of a slope to obtain a predicted temperature;
2) Judging the braking thermal failure risk of the target vehicle based on the predicted temperature, and alarming and actively intervening based on a judging result;
3) Based on the vehicle parameters of the active intervention and the real-time driving parameters, the temperature of a braking element in the brake is predicted again when the target vehicle reaches the bottom of the slope, and an alarm is given if the risk of braking heat failure still exists, so that the driver is prompted that the driver still has the risk of braking heat failure at present, and the vehicle needs to be driven into an emergency lane or a braking cooling area.
Preferably, the above step 1) may be achieved by:
1.1 Acquiring position information, vehicle speed information and current temperature information of a brake element of a target vehicle;
1.2 Based on the obtained position information, vehicle speed information and current temperature information of the brake element, performing rolling correction on a pre-constructed temperature prediction model of the brake element, and predicting the temperature of the brake element in the brake when the target vehicle reaches the bottom of a slope to obtain a predicted temperature.
Preferably, in the step 1.2), the temperature prediction model of the brake element is established based on the historical temperature data of the brake element of the target vehicle and the vehicle running parameters, and may be implemented by the following steps:
establishing a brake element temperature prediction model according to an energy conservation law and a Newton cooling law:
wherein: t (T) 0 The initial temperature of the braking element, DEG C; t (T) a Is the ambient temperature, DEG C; t is the driving time, s; k (k) 1 Is the reciprocal of the thermal time parameter, k 1 ＝(hA c )/(cmω)；k 2 K is the inverse of the total heat transfer parameter 2 ＝ω/(hA c ) The method comprises the steps of carrying out a first treatment on the surface of the h is the convection heat transfer coefficient, W/(m) 2 ·℃)；A c For radiating area of braking element, m 2 The method comprises the steps of carrying out a first treatment on the surface of the c is the specific heat capacity of the braking element; m is the mass of the braking element, kg; omega is the ratio of convection heat dissipation to total heat dissipation; p (P) B The braking element absorbs power kW.
The absorption power of the braking element can be obtained according to the stress analysis of the vehicle:
wherein: beta is a braking force distribution coefficient; s is the slip rate of the vehicle on the road surface; p (P) G 、P w 、P f And P ab Respectively gravity, air resistance, rolling friction resistance andthe power of the engine braking system for acting on the vehicle, kw; and has the following steps:
P G ＝mgvsinθ/3.6
P w ＝F w ·v
P f ＝F f ·v
P ab ＝0.2133n-210.67。
wherein: v is the running speed in the long downhill road of the truck; f (F) w Is air resistance; f (F) f Rolling resistance of the truck; n is the engine speed.
From the taylor formula:
ambient temperature T a =20 ℃, then T a k 1 t is about 1 ℃ and can be ignored, so that the brake element temperature prediction model is simplified to obtain:
T(t)＝T 0 +k 1 k 2 P B t
by calculating k 1 k 2 =1/cm, at the same time will P B Substituting, extracting gradient parameters in the model to obtain a prediction model of the temperature of the braking element under different gradients in order to consider the influence of different gradients on the temperature rise of the braking element, wherein the prediction model comprises the following steps:
T(t)＝(k a i-k b )t+T 0
wherein i is the gradient of a long downhill slope and can be obtained by a navigation device. k (k) a And k b As parameters related to vehicle parameters and running states, they cannot be accurately obtained by measurement. When the temperature prediction model is used for predicting the temperature of the brake element on line, the method based on sampling is used for k a And k b And performing real-time scrolling correction.
Preferably, as shown in fig. 2, the above step 1.2) can be achieved by:
1.2.1 At the start of a long downhill slope giving k a 、k b And takes the temperature of the braking element when the target vehicle is at the top of a long downhill slope as the initial value of (a)Initial temperature T 0 ；
1.2.2 To k) a 、k b Substituting a brake element temperature prediction model to predict the temperature of a brake element of a preset temperature measuring point;
1.2.3 Judging whether the error of the temperature measured value and the predicted value of the temperature measuring point braking element is smaller than a threshold value M, if yes, executing the step 1.2.4), and if not, executing the step 1.2.6);
1.2.4 Judging the same group k a 、k b Then, whether the errors of the measured value and the predicted value at each temperature measuring point are continuously smaller than a threshold value M for N times or not, if yes, executing the step 1.2.5), and if not, executing the step 1.2.2);
1.2.5 Using the current k a 、k b Predicting the temperature of a braking element at the bottom of a long downhill slope;
1.2.6 For containing the current k a 、k b Sampling is carried out to obtain a plurality of groups of sampling values; for example, the interval range may be k a ∈(0.9k a ,1.1k a ),k b ∈(0.9k b ,1.1k b )；
1.2.7 To k) a 、k b Substituting a plurality of groups of sampling values into a brake element temperature prediction model to predict the temperature of the brake element at the temperature measuring point;
1.2.8 Comparing the measured value with the predicted value to select a group of optimal k a 、k b Step 1.2.2) is performed to obtain a predicted temperature.
Preferably, in the step 1.2.3), the measured value of the temperature of the brake element may be obtained through a brake element temperature measuring module mounted on the brake, and different mounting positions of different vehicle models need to be calibrated, so that the measured value of the brake element temperature measuring module can correspond to the actual value of the brake element.
Preferably, the above step 2) may be achieved by:
2.1 Judging whether the temperature of the braking element exceeds a threshold K when reaching the slope bottom, if so, executing the step 2.2), otherwise, returning to the step 1);
2.2 Warning the driver that the braking heat is invalid before reaching the slope bottom, and adjusting the transmission of the target vehicle to the lowest gear, and completing the braking efficiency by means of reverse dragging of the engine as much as possible; meanwhile, the service brake is reduced as much as possible on the premise of keeping a safe vehicle distance with the front vehicle.
Example 2
In contrast to the above embodiment 1, which provides a long downhill road section automobile brake thermal failure prediction and active intervention method, the present embodiment provides a long downhill road section automobile brake thermal failure prediction and active intervention system. The system provided by the embodiment can implement the method for predicting the braking thermal failure and actively intervening of the long downhill road section automobile of the embodiment 1, and the system can be realized by software, hardware or a combination of the software and the hardware. For example, the system may include integrated or separate functional modules or functional units to perform the corresponding steps in the methods of embodiment 1. Since the system of this embodiment is substantially similar to the method embodiment, the description of this embodiment is relatively simple, and the relevant points may be found in part in the description of embodiment 1, which is provided by way of illustration only.
As shown in fig. 3, the system for predicting and actively intervening the braking thermal failure of the long downhill road section automobile provided in the embodiment includes:
the temperature prediction unit is used for obtaining current vehicle parameters and running state parameters of the target vehicle, predicting the temperature of a brake element in the brake when the target vehicle reaches the bottom of a slope, and obtaining a predicted temperature;
the active intervention unit is used for judging the braking thermal failure risk of the target vehicle based on the predicted temperature and alarming and actively intervening based on a judging result;
and the risk alarm unit is used for predicting the temperature of a braking element in the brake again when the target vehicle reaches the bottom of the slope based on the vehicle parameters and the real-time running parameters after the active intervention, and alarming if the risk of braking thermal failure still exists, so as to prompt a driver that the driver still has the risk of braking thermal failure at present and drive the vehicle into an emergency lane or a braking cooling area.
Preferably, the temperature prediction unit includes a brake element temperature measurement module 2, a navigation device 4, a vehicle speed measurement device 5, and a brake element temperature prediction module 3. The brake element temperature measuring module 2, the navigation device 4 and the vehicle speed measuring device 5 are respectively used for detecting temperature information, position information and vehicle speed information of a target vehicle brake element and sending the temperature information, the position information and the vehicle speed information to the brake element temperature predicting module 3; the brake element temperature prediction module 3 is used for predicting the temperature of a brake element in a brake when the target vehicle reaches the bottom of a slope to obtain a predicted temperature.
Preferably, the active intervention unit comprises a central processing unit 1, a long downhill braking assistance system 9 and an alarm module 7. The central processing unit 1 is used for comparing the predicted temperature with a threshold value K, and if the predicted temperature of the braking element exceeds the threshold value K when reaching the bottom of a slope, a control signal is sent to the long downhill braking auxiliary system 9 and the alarm module 7; the alarm module 7 alarms the driver that the risk of braking thermal failure exists before the driver reaches the slope bottom; the long downhill braking auxiliary system 9 is electrically connected with a clutch 8, a brake 10 and a vehicle distance measuring device 6 of the target vehicle and is used for sending a control signal to the clutch, the clutch adjusts the gear to the lowest gear, and the braking efficiency is finished by means of reverse dragging of the engine as far as possible; meanwhile, a control signal is sent to the brake 10 according to the vehicle distance signal sent by the vehicle distance measuring device 6, and service braking is reduced as far as possible on the premise of keeping a safe vehicle distance with a front vehicle.
The computer readable storage medium may be a tangible device that retains and stores instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination of the preceding.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; 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 technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (7)
1. The method for predicting and actively intervening the braking thermal failure of the long downhill road section automobile is characterized by comprising the following steps of:
based on the obtained current vehicle parameters of the target vehicle, predicting the temperature of a brake element in a brake when the target vehicle reaches the bottom of a slope to obtain a predicted temperature;
the temperature of a brake element in a brake is predicted when the target vehicle reaches the bottom of a slope based on the obtained current vehicle parameters of the target vehicle, so that a predicted temperature is obtained;
acquiring position information, vehicle speed information and current temperature information of a brake element of a target vehicle;
based on the obtained position information, vehicle speed information and current temperature information of the brake element of the target vehicle, performing rolling correction on a pre-constructed temperature prediction model of the brake element under different gradients, and predicting the temperature of the brake element in the brake when the target vehicle reaches the bottom of the gradient to obtain a predicted temperature;
the temperature prediction model is as follows:
T(t)＝(k a i-k b )t+T 0
wherein i is the gradient of a long downhill slope; k (k) a And k b Is a parameter related to a vehicle parameter and a running state; t is the driving time; t (T) 0 An initial temperature for the braking element; t (T) is the predicted temperature of the braking element;
judging the braking thermal failure risk of the target vehicle based on the predicted temperature, and alarming and actively intervening based on a judging result;
and predicting the temperature of a braking element in the brake again when the target vehicle reaches the bottom of the slope based on the vehicle parameters after the active intervention and the real-time driving parameters, and alarming if the risk of braking heat failure still exists.
2. The method for predicting and actively intervening the braking thermal failure of the automobile on the long downhill road section according to claim 1, wherein the method for predicting the temperature of the braking element in the brake when the target automobile reaches the bottom of the slope by performing rolling correction on the pre-constructed temperature prediction model of the braking element under different gradients based on the acquired position information, the vehicle speed information and the current temperature information of the braking element is characterized by comprising the following steps:
1.2.1 At the start of a long downhill slope giving k a 、k b And takes the temperature of the braking element when the target vehicle is at the top of a long downhill slope as the initial temperature T 0 ；
1.2.2 To k) a 、k b Substituting a temperature prediction model to predict the temperature of a braking element of a preset temperature measuring point;
1.2.3 Judging whether the error of the temperature measured value and the predicted value of the temperature measuring point braking element is smaller than a threshold value M, if yes, executing the step 1.2.4), and if not, executing the step 1.2.6);
1.2.4 Judging the same group k a 、k b Then, whether the errors of the measured value and the predicted value at each temperature measuring point are continuously smaller than a threshold value M for N times or not, if yes, executing the step 1.2.5), and if not, executing the step 1.2.2);
1.2.5 Using the current k a 、k b Predicting the temperature of a braking element at the bottom of a long downhill slope;
1.2.6 For containing the current k a 、k b Sampling is carried out in a preset interval range of the (4) to obtain a plurality of groups of sampling values;
1.2.7 To k) a 、k b Substituting a plurality of groups of sampling values into a brake element temperature prediction model to predict the temperature of the brake element at the temperature measuring point;
1.2.8 Comparing the measured value with the predicted value to select a group of optimal k a 、k b Step 1.2.2) is performed to obtain a predicted temperature.
3. A long downhill path automotive thermal failure prediction and active intervention method as claimed in claim 2 wherein said brake element temperature measurements are obtained by a brake element temperature measurement module mounted on the brake.
4. A method for predicting and actively intervening in the braking thermal failure of a long downhill road section automobile according to claim 2, wherein the method for judging the risk of the braking thermal failure of the target vehicle based on the predicted temperature and alarming and actively intervening based on the judgment result comprises:
judging whether the temperature of the braking element exceeds a threshold K when the slope bottom is reached, if so, executing the next step, otherwise, continuously predicting the temperature of the braking element when the slope bottom is reached;
the driver is alerted to the risk of thermal failure of the brakes before reaching the bottom of the hill and the transmission of the target vehicle is adjusted to the lowest gear.
5. A long downhill road segment automotive braking thermal failure prediction and active intervention system, comprising:
the temperature prediction unit is used for obtaining current vehicle parameters and running state parameters of the target vehicle, predicting the temperature of a brake element in the brake when the target vehicle reaches the bottom of a slope, and obtaining a predicted temperature;
the active intervention unit is used for judging the braking thermal failure risk of the target vehicle based on the predicted temperature and alarming and actively intervening based on a judging result;
the risk alarming unit is used for predicting the temperature of a braking element in the brake again when the target vehicle reaches the bottom of the slope based on the vehicle parameters and the real-time running parameters after the active intervention, and alarming if the risk of braking thermal failure still exists;
the temperature prediction unit comprises a brake element temperature measurement module, a navigation device, a vehicle speed measurement device and a brake element temperature prediction module; the brake element temperature measuring module, the navigation device and the vehicle speed measuring device are respectively used for detecting temperature information, position information and vehicle speed information of a target vehicle brake element and sending the temperature information, the position information and the vehicle speed information to the brake element temperature predicting module; the brake element temperature prediction module is used for predicting the temperature of a brake element in a brake when a target vehicle reaches the bottom of a slope to obtain a predicted temperature, and comprises the following steps: based on the obtained position information, vehicle speed information and current temperature information of the brake element of the target vehicle, performing rolling correction on a pre-constructed temperature prediction model of the brake element under different gradients, and predicting the temperature of the brake element in the brake when the target vehicle reaches the bottom of the gradient to obtain a predicted temperature;
the temperature prediction model is as follows:
T(t)＝(k a i-k b )t+T 0
wherein i is the gradient of a long downhill slope; k (k) a And k b Is a parameter related to a vehicle parameter and a running state; t is the driving time; t (T) 0 An initial temperature for the braking element; t (T) is the predicted temperature of the braking element.
6. A processing device comprising at least a processor and a memory, said memory having stored thereon a computer program, characterized in that the processor executes the steps of the method for long downhill road section car brake thermal failure prediction and active intervention according to any of claims 1 to 4 when running said computer program.
7. A computer storage medium having stored thereon computer readable instructions executable by a processor to implement the steps of the long downhill road segment automobile brake thermal failure prediction and active intervention method according to any of claims 1 to 4.
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