CN113830012B - Method, device, equipment and storage medium for diagnosing cause of high fuel consumption of vehicle - Google Patents

Method, device, equipment and storage medium for diagnosing cause of high fuel consumption of vehicle Download PDF

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CN113830012B
CN113830012B CN202111013387.0A CN202111013387A CN113830012B CN 113830012 B CN113830012 B CN 113830012B CN 202111013387 A CN202111013387 A CN 202111013387A CN 113830012 B CN113830012 B CN 113830012B
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vehicle
diagnosed
engine
driving
characteristic
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CN113830012A (en
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夏先文
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Beijing CHJ Automotive Information Technology Co Ltd
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Beijing CHJ Automotive Information Technology Co Ltd
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
    • B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
    • B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
    • B60R16/0231—Circuits relating to the driving or the functioning of the vehicle
    • B60R16/0232—Circuits relating to the driving or the functioning of the vehicle for measuring vehicle parameters and indicating critical, abnormal or dangerous conditions
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
    • B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
    • B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
    • B60R16/0231—Circuits relating to the driving or the functioning of the vehicle
    • B60R16/0236—Circuits relating to the driving or the functioning of the vehicle for economical driving
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/12—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to parameters of the vehicle itself, e.g. tyre models
    • 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
    • Y02T10/80—Technologies aiming to reduce greenhouse gasses emissions common to all road transportation technologies
    • Y02T10/84—Data processing systems or methods, management, administration

Abstract

The disclosure provides a method, a device, equipment and a storage medium for diagnosing a cause of high fuel consumption of a vehicle. The diagnosis method for the reason of the high oil consumption of the vehicle comprises the following steps: acquiring a characteristic parameter representing the energy consumption characteristic of a vehicle to be diagnosed when an engine runs and a corresponding characteristic parameter threshold, wherein the characteristic parameter comprises at least one of a parameter representing a non-driving load characteristic, a parameter representing a driving load characteristic and a parameter representing an engine efficiency characteristic; and determining the diagnosis index corresponding to the characteristic parameter as a cause of high oil consumption of the vehicle to be diagnosed in response to the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold value meeting a preset magnitude relation. The corresponding diagnosis indexes are informed to the driver, and the driver can be prompted to adjust own vehicle habit based on the output diagnosis indexes so as to reduce the fuel consumption of the vehicle.

Description

Method, device, equipment and storage medium for diagnosing cause of high fuel consumption of vehicle
Technical Field
The disclosure relates to the technical field of vehicles, in particular to a method, a device, equipment and a storage medium for diagnosing a cause of high fuel consumption of a vehicle.
Background
In the related art, a vehicle engine system of a vehicle can acquire an actual fuel consumption amount and a reference fuel consumption amount of the vehicle, determine whether the fuel consumption of the vehicle is too high based on the actual fuel consumption amount and the reference fuel consumption amount, and prompt a driver to improve the vehicle behavior under the condition that the fuel consumption of the vehicle is too high. However, the related art can only determine that the actual fuel consumption of the vehicle is too high, and cannot determine the reason for the excessive actual fuel consumption of the vehicle, so that a specific suggestion for reducing the fuel consumption of the vehicle cannot be provided for the driver.
Disclosure of Invention
In order to solve the technical problems described above or at least partially solve the technical problems described above, the present disclosure provides a method, apparatus device and storage medium for diagnosing a cause of high fuel consumption of a vehicle.
In one aspect, an embodiment of the present disclosure provides a method for diagnosing a cause of high fuel consumption of a vehicle, including:
acquiring characteristic parameters representing energy consumption characteristics of a vehicle to be diagnosed when an engine runs, wherein the characteristic parameters comprise at least one of parameters representing non-driving load characteristics, parameters representing driving load characteristics and parameters representing engine efficiency characteristics;
and determining a diagnosis index corresponding to the characteristic parameter as a cause of high oil consumption of the vehicle to be diagnosed in response to the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold value meeting a preset magnitude relation.
Optionally, before the obtaining of the characteristic parameter characterizing the energy consumption of the vehicle to be diagnosed while the engine is running, the method further comprises: acquiring the unit mileage oil consumption of the vehicle to be diagnosed when the engine runs;
and executing the step of acquiring the characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running under the condition that the unit mileage oil consumption amount of the vehicle is larger than the reference unit mileage oil consumption amount.
Optionally, before acquiring the characteristic parameter characterizing the energy consumption of the vehicle to be diagnosed while the engine is running, the method further comprises:
acquiring the characteristic parameters of a plurality of vehicles with the same model as the vehicle to be diagnosed;
sorting the characteristic parameters of the same type of the plurality of vehicles, and taking the characteristic parameters at a preset sorting position as the characteristic parameter threshold corresponding to the characteristic parameters of the same type; or alternatively, the process may be performed,
and calculating a characteristic parameter mean value and a characteristic parameter standard deviation based on the characteristic parameters of the same type of the plurality of vehicles, and calculating the characteristic parameter threshold value corresponding to the characteristic parameters of the same type according to the characteristic parameter mean value and the characteristic parameter standard deviation.
Optionally, the parameter characterizing the non-driven load characteristic includes accessory average power;
the obtaining of the characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running comprises the following steps:
acquiring total accessory energy consumption of the vehicle to be diagnosed when an engine runs and running time of the engine;
calculating the accessory average power based on the accessory total energy consumption and the runtime;
the determining that the diagnostic index corresponding to the characteristic parameter is the cause of the high oil consumption of the vehicle to be diagnosed includes: and determining that the excessive accessory power is the reason for causing the high oil consumption of the vehicle to be diagnosed in response to the average accessory power of the vehicle to be diagnosed being higher than an average accessory power threshold.
Optionally, the vehicle to be diagnosed is a hybrid vehicle, and the parameter characterizing the non-driving load characteristic includes a unit mileage recharging amount;
the obtaining of the characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running comprises the following steps:
acquiring the recharging amount and the driving mileage of the vehicle to be diagnosed when the engine runs;
calculating the unit mileage recharge amount based on the recharge amount and the travel mileage;
the determining, in response to the characteristic parameter of the vehicle and the corresponding characteristic parameter threshold value satisfying a preset magnitude relation, the diagnostic indicator corresponding to the characteristic parameter as a cause of high fuel consumption of the vehicle to be diagnosed includes: and in response to the unit mileage recharging amount of the vehicle to be diagnosed being greater than the unit mileage recharging amount threshold, determining that the more charged power battery of the vehicle to be diagnosed is the cause of high fuel consumption of the vehicle.
Optionally, the parameter characterizing the driving load characteristic includes a driving aggression coefficient;
the obtaining of the characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running comprises the following steps:
acquiring the speed and the acceleration of the vehicle to be diagnosed when the engine runs and is in an acceleration stage;
Calculating the driving shock coefficient based on the speed and the acceleration;
the determining that the diagnostic index corresponding to the characteristic parameter is the cause of the high oil consumption of the vehicle to be diagnosed includes: and determining that aggressive driving is a cause of high oil consumption of the vehicle to be diagnosed in response to the driving aggressive coefficient of the vehicle to be diagnosed being greater than a driving aggressive coefficient threshold.
Optionally, the vehicle to be diagnosed is a hybrid vehicle, and the parameter representing the driving load characteristic comprises a high vehicle speed mileage ratio;
the obtaining of the characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running comprises the following steps:
acquiring the total driving mileage of the vehicle to be diagnosed when the engine runs and the driving mileage of the vehicle speed exceeding the preset vehicle speed;
calculating the high vehicle speed mileage ratio based on the vehicle speed mileage exceeding a preset vehicle speed and the total vehicle speed mileage;
the determining that the diagnostic index corresponding to the characteristic parameter is the cause of the high oil consumption of the vehicle to be diagnosed includes: and determining that a large proportion of high-speed running is a cause of high oil consumption of the vehicle to be diagnosed in response to the high-speed mileage ratio of the vehicle to be diagnosed being greater than a high-speed mileage ratio threshold.
Optionally, the vehicle to be diagnosed is a hybrid vehicle, and the parameter representing the driving load characteristic comprises driving power consumption per unit mileage;
the obtaining of the characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running comprises the following steps:
acquiring the driving power consumption and the driving mileage of the vehicle to be diagnosed when the engine runs;
calculating the driving power consumption per unit mileage based on the driving power consumption and the driving mileage;
the determining that the diagnostic index corresponding to the characteristic parameter is the cause of the high oil consumption of the vehicle to be diagnosed includes: and determining that the high driving energy consumption is a cause of the high fuel consumption of the vehicle to be diagnosed in response to the power consumption of the vehicle driven by the unit mileage being greater than the power consumption threshold of the vehicle driven by the unit mileage.
Optionally, the parameter indicative of the engine efficiency characteristic comprises an inefficient run time duty cycle;
the obtaining of the characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running comprises the following steps:
acquiring the low-efficiency working time and the total running time of the engine during running;
Calculating the inefficient run time duty cycle based on the inefficient run time and the total run time;
the determining that the diagnostic index corresponding to the characteristic parameter is the cause of the high oil consumption of the vehicle to be diagnosed includes: and determining that the long-term inefficient operation of the engine is a cause of high oil consumption of the vehicle to be diagnosed in response to the inefficient operation time duty cycle of the engine of the vehicle to be diagnosed being greater than an inefficient operation time duty cycle threshold.
Optionally, the parameter indicative of the engine efficiency characteristic includes a warm-up time duty cycle;
the obtaining of the characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running comprises the following steps:
acquiring the warm-up operation time and the total operation time of the engine;
calculating the warm-up time duty ratio based on the warm-up time and the total operation time;
the determining that the diagnostic index corresponding to the characteristic parameter is the cause of the high oil consumption of the vehicle to be diagnosed includes: and in response to the warm-up time duty cycle of the vehicle engine being greater than a warm-up time duty cycle threshold, determining that the excessive warm-up time is responsible for the high fuel consumption of the vehicle to be diagnosed.
Optionally, the vehicle to be diagnosed is a hybrid vehicle with an energy recovery function, and the characteristic parameters further include a recovery driving energy duty ratio;
the obtaining of the characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running comprises the following steps:
acquiring the recovered electric quantity and the driving power consumption of the vehicle to be diagnosed when the engine runs;
calculating the recovered driving energy duty based on the recovered power amount and the driving power consumption;
the determining, in response to the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold value satisfying a preset magnitude relation, the diagnostic indicator corresponding to the characteristic parameter as a cause of high fuel consumption of the vehicle to be diagnosed includes: and in response to the recovered driving energy duty ratio of the vehicle being smaller than a recovered driving energy duty ratio threshold, determining that the energy recovery rate is set lower as a cause of high fuel consumption of the vehicle to be diagnosed.
On the other hand, the embodiment of the disclosure provides a vehicle high fuel consumption reason diagnosis device, including:
the system comprises a characteristic parameter acquisition unit, a characteristic parameter judgment unit and a characteristic parameter judgment unit, wherein the characteristic parameter acquisition unit is used for acquiring a characteristic parameter representing the energy consumption characteristic of a vehicle to be diagnosed when an engine runs, and a corresponding characteristic parameter threshold value, and the characteristic parameter comprises at least one of a parameter representing a non-driving load characteristic, a parameter representing a driving load characteristic and a parameter representing an engine efficiency characteristic;
The diagnosis unit is used for responding to the fact that the characteristic parameters of the vehicle to be diagnosed and the corresponding characteristic parameter threshold values meet the preset magnitude relation, and determining the diagnosis index corresponding to the characteristic parameters as the reason for causing the high oil consumption of the vehicle to be diagnosed.
In yet another aspect, embodiments of the present disclosure provide a computer device comprising: a processor; and a memory storing a program, wherein the program comprises instructions that when executed by the processor cause the processor to perform the vehicle high fuel consumption cause diagnosis method as described above.
In yet another aspect, the disclosed embodiments provide a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the vehicle fuel consumption cause diagnosis method as described above.
Compared with the prior art, the technical scheme provided by the embodiment of the disclosure has the following advantages: by adopting the technical scheme provided by the embodiment of the disclosure, the characteristic parameters representing the oil consumption characteristics of the vehicle to be diagnosed when the engine runs and the corresponding characteristic parameter threshold values are obtained, the sizes of the characteristic parameters and the corresponding characteristic parameter threshold values are compared, and the diagnosis index corresponding to the characteristic parameters is determined as the cause of high oil consumption of the vehicle to be diagnosed under the condition that the size relation of the characteristic parameters and the corresponding characteristic parameter threshold values meets the preset size relation. The corresponding diagnosis indexes are informed to the driver, and the driver can be prompted to adjust own vehicle habit based on the output diagnosis indexes so as to reduce the vehicle oil consumption.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.
In order to more clearly illustrate the embodiments of the present disclosure or the prior art, the drawings that are used in the description of the embodiments or the prior art will be briefly described below. It will be obvious to those skilled in the art that other figures can be obtained from these figures without inventive effort, in which:
fig. 1 is a flowchart of a method for diagnosing a cause of high fuel consumption of a vehicle according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of a vehicle high fuel consumption cause diagnosis method provided by other embodiments of the present disclosure;
fig. 3 is a schematic structural view of a vehicle high fuel consumption cause diagnosis device according to some embodiments of the present disclosure;
fig. 4 is a schematic structural diagram of a computer device provided in some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure have been shown in the accompanying drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below. It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
Fig. 1 is a flowchart of a method for diagnosing a cause of high fuel consumption of a vehicle according to an embodiment of the present disclosure. As shown in fig. 1, the method for diagnosing a cause of high fuel consumption of a vehicle according to an embodiment of the present disclosure may include steps S101 to S102.
It should be noted that the diagnostic method provided in the embodiments of the present disclosure may be executed by a vehicle-end processor, or may be executed by a cloud server communicatively connected to a vehicle. When the diagnosis method is executed by the cloud server, the cloud server can determine the vehicle needing to be subjected to the fuel consumption high cause judgment, namely the vehicle to be diagnosed, based on the vehicle identification number (Vehicle Identification Number, VIN).
S101: and acquiring characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running, and corresponding characteristic parameter thresholds.
In an embodiment of the disclosure, the characteristic parameter characterizing the energy consumption characteristic of the vehicle to be diagnosed when the engine is running may include at least one of a parameter characterizing a non-driving load characteristic, a parameter characterizing a driving load characteristic and a parameter characterizing an engine efficiency characteristic, where each characteristic parameter corresponds to a diagnostic index of a cause of high fuel consumption of the vehicle. It should be noted that the various characteristic parameters described above are characteristic parameters that characterize the energy consumption characteristics of the vehicle over a period of time.
The characteristic parameter threshold is a parameter characterizing a more reasonable energy consumption characteristic. In the embodiment of the disclosure, the characteristic parameter threshold corresponds to the characteristic parameter type which characterizes the energy consumption characteristic of the vehicle to be diagnosed when the engine is running.
In some embodiments of the present disclosure, the characteristic parameter threshold may be a parameter calculated based on characteristic parameters of a number of model vehicles while the engine is running. For example, the characteristic parameter threshold value may be obtained as follows.
The first method is as follows: and sequencing the characteristic parameters of the same type of a large number of vehicles with the same type, and taking the characteristic parameters at the preset sequencing positions as characteristic parameter thresholds corresponding to the characteristic parameters of the same type.
For example, if the accessory average power sent by the same type of vehicle is obtained, the accessory average powers may be ranked in order from small to large, and the accessory average power on the 80% percentile of the duty cycle is used as the characteristic parameter threshold corresponding to the characteristic parameter.
For another example, if the accessory average power and the aggressive driving coefficient sent by the same type of vehicle are obtained at the same time, the accessory average power and the aggressive driving coefficient may be respectively ranked, the accessory average power with the duty ratio on the 80% percentile is used as the accessory average power threshold, and the aggressive driving coefficient with the duty ratio on the 80% percentile is used as the aggressive driving coefficient threshold.
The second method is as follows: and calculating the mean value and the standard deviation according to the characteristic parameters of the same type of a large number of vehicles with the same type to be diagnosed, and determining the characteristic parameter threshold value based on the mean value and the standard deviation.
For example, if the accessory average power transmitted by the same model vehicle is obtained, the accessory average power mean and the accessory average power standard deviation may be calculated based on the accessory average power of the communication vehicle. Then, a calculated accessory power value is obtained as the accessory average power threshold based on the accessory average power mean plus three times the accessory average power standard deviation.
For another example, if the accessory average power and the recovered driving energy duty ratio transmitted by the same type of vehicle are obtained, the accessory average power average value and the accessory average power standard deviation may be calculated, and the recovered driving energy duty ratio average value and the recovered driving energy duty ratio standard deviation may be calculated. Then, based on the accessory average power mean value plus three times of accessory average power standard deviation, obtaining a calculated accessory power value as an accessory average power threshold; and subtracting three times of the recovery driving energy duty standard deviation from the recovery driving energy duty average value to obtain a calculated recovery driving energy duty as a recovery driving energy duty threshold.
Further, in other embodiments of the present disclosure, the feature parameter threshold may be determined by the host manufacturer based on the vehicle road test data.
S102: and determining the diagnosis index corresponding to the characteristic parameter as a cause of high oil consumption of the vehicle to be diagnosed in response to the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold value meeting a preset magnitude relation.
After the characteristic parameters of the vehicle to be diagnosed and the corresponding characteristic parameter thresholds are obtained, the characteristic parameters of the vehicle to be diagnosed and the characteristic parameter thresholds are compared to determine the magnitude relation of the characteristic parameters and the characteristic parameter thresholds. And if the magnitude relation between the two parameters meets the preset magnitude relation, taking the diagnosis index corresponding to the characteristic parameter as a reason for causing high oil consumption of the vehicle to be diagnosed. Wherein the preset magnitude relation is specifically set according to the type of the characteristic parameter.
By adopting the method for diagnosing the high oil consumption of the vehicle to be diagnosed, which is provided by the embodiment of the invention, the characteristic parameters representing the oil consumption characteristics of the vehicle to be diagnosed when the engine runs and the corresponding characteristic parameter threshold values are obtained, the sizes of the characteristic parameters and the corresponding characteristic parameter threshold values are compared, and the diagnosis index corresponding to the characteristic parameters is determined as the cause of the high oil consumption of the vehicle to be diagnosed under the condition that the size relation of the characteristic parameters and the corresponding characteristic parameter threshold values meets the preset size relation. The corresponding diagnosis indexes are informed to the driver so as to prompt the driver to adjust own vehicle habit based on the output diagnosis indexes, and the vehicle oil consumption can be reduced.
In some embodiments of the present disclosure, the characteristic parameter characterizing the non-driven load characteristic includes an accessory average power, and the diagnostic index corresponding to the characteristic parameter is that the accessory power is too high. Step S101 may include steps S1011-S1012.
S1011: the total accessory energy consumption and the running time of the engine of the vehicle to be diagnosed when the engine runs are obtained.
S1012: the accessory average power is calculated based on the accessory total energy consumption and the runtime.
In the embodiment of the disclosure, the total energy consumption of accessories of the vehicle to be diagnosed is the total energy consumption of various accessories of the vehicle to be diagnosed (such as an air conditioner compressor, an electric heater, a vehicle-machine system and various controllers) for a preset period of time. The running time of the engine is the running time of the engine in a preset period, that is, the time when the engine is started in the preset period, and power is supplied to the outside by burning fuel.
In a specific embodiment, the total accessory energy consumption of the vehicle to be diagnosed when the engine is running can be obtained by accumulating the energy consumption of each accessory when the engine is running, for example, the following steps can be adoptedCalculating total energy consumption W of accessories Accessory Wherein accessory i power is the instantaneous power of accessory i at run time, and Δt is the run time of accessory i at a particular instantaneous power. After the total energy consumption of the accessories and the running time of the engine are obtained, the running time and the total energy consumption of the accessories are divided to obtain the average power of the accessories, and the average power of the accessories is specifically adopted>Where T is the operating time of the engine, which can be obtained by summing the times when the engine is operating in each driving cycle.
Corresponding to the aforementioned steps S1011-S1012, step S102 may include: and determining that the excessive accessory power is a cause of high fuel consumption of the vehicle to be diagnosed in response to the average accessory power of the vehicle to be diagnosed being higher than an accessory average power threshold.
The diagnosis index of over-high accessory power is informed to the driver, so that the driver can be prompted to timely close the accessory of the vehicle to be diagnosed which is not needed to be used, the energy consumption of the accessory is reduced, and the fuel consumption of the vehicle is reduced.
In some embodiments of the present disclosure, the vehicle to be diagnosed is a hybrid vehicle (may be an extended range electric vehicle in particular), and when the engine of the vehicle to be diagnosed is running, the engine may charge the power battery in addition to driving the vehicle to be diagnosed and driving the accessories. In this case, the parameter characterizing the non-driving load characteristic of the vehicle to be diagnosed includes a unit mileage recharge amount. The unit mileage recharging amount represents the electric quantity of the power battery which is charged into the power battery by driving the generator by the engine when the vehicle runs in the unit mileage.
The diagnosis index corresponding to the characteristic parameter is that the power battery of the vehicle to be diagnosed is more charged. Step S101 may include steps S1013-S1014.
S1013: and acquiring the recharging amount and the driving mileage of the vehicle to be diagnosed when the engine is running.
S1014: the unit mileage recharge amount is calculated based on the recharge amount and the travel mileage.
In the embodiment of the disclosure, the calculation of the recharging amount of the vehicle to be diagnosed when the engine is running may adopt the following method: and acquiring the power battery electric quantity of the engine at the start of each driving cycle and the power battery electric quantity of the engine at the stop of the engine. And if the power battery electric quantity of the engine is larger than the power battery electric quantity of the engine when the engine is stopped, acquiring an electric quantity difference value of the power battery electric quantity and the power battery electric quantity. And then accumulating the electric quantity difference value in a preset time period to obtain the recharging quantity of the engine in the preset time. And finally, dividing the recharging amount by the driving mileage of the vehicle to be diagnosed when the engine is running to obtain the unit recharging amount.
For example, in some embodiments of the present disclosure, one may employCalculating to obtain hundred kilometer recharging quantity E Hundred kilometer recharging amount 。
Corresponding to the aforementioned steps S1013-S1014, step S102 may include: and in response to the unit recharging amount of the vehicle to be diagnosed being greater than the unit recharging amount threshold, determining that the power battery of the vehicle to be diagnosed is more charged is a cause of overhigh fuel consumption of the vehicle to be diagnosed.
The method has the advantages that the driver is informed of more charged power batteries of the vehicle to be diagnosed as a diagnosis index, and the driver can be prompted to charge the power batteries in an external charging mode, so that high oil consumption caused by the fact that the engine is used for driving to generate electricity and the charge quantity is returned is reduced.
In some embodiments of the present disclosure, the parameter characterizing the driving load characteristics may include a aggressive driving coefficient. The aggressive driving coefficient represents the coefficient of the severity of the driver driving the vehicle to be diagnosed, and the corresponding diagnosis index is aggressive driving. Step S101 may include S1015-S1016.
S1015: the speed and acceleration of the vehicle to be diagnosed while the engine is running and in an acceleration phase are obtained.
S1016: the driving shock coefficient is calculated based on the speed and the acceleration.
In some embodiments of the present disclosure, where the sensor in the vehicle is a speed sensor, the formula may be employedCalculating sub-excitation driving coefficients v in each acceleration stage n Vehicle speed, v, measured for a vehicle with a speed sensor at time n n+1 For the vehicle speed measured by the speed sensor at time n+1, deltaT is the vehicle speed sampling time interval, v n+1 ＞v n Subsequently use +.>And calculating to obtain the aggressive driving coefficient beta in a preset time period. In some embodiments of the present disclosure, where the vehicle is configured with a speed sensor and an acceleration sensor, the speed and acceleration detected by the speed sensor may be employed The acceleration detected by the sensor is multiplied by the calculated excitation driving coefficient beta.
Corresponding to the aforementioned steps S1015-S1016, step S102 may include: and determining that the aggressive driving is a cause of excessive fuel consumption of the vehicle to be diagnosed in response to the aggressive driving coefficient of the vehicle to be diagnosed being greater than an aggressive driving coefficient threshold.
The driver is informed of the reason that the fuel consumption of the vehicle to be diagnosed is too high by the aggressive driving, so that the driver can be prompted to pay attention to driving habits, and the fuel consumption is prevented from being increased due to rapid acceleration operation.
In some embodiments of the present disclosure, the vehicle to be diagnosed is a hybrid vehicle, and the parameter characterizing the driving load characteristic may include a high vehicle speed mileage ratio, and the high vehicle speed mileage ratio corresponds to a high vehicle speed travel in which the diagnostic index is a large proportion. The corresponding step S101 may include steps S1017-S1018.
S1017: and acquiring the driving mileage and the total driving mileage of the vehicle to be diagnosed when the vehicle runs on the engine and the vehicle speed exceeds the preset vehicle speed.
S1018: the high vehicle speed mileage duty ratio is calculated based on the mileage exceeding the preset vehicle speed and the total mileage.
In the embodiment of the disclosure, the driving mileage and the total travel mileage exceeding the preset vehicle speed when the vehicle to be diagnosed is driven by the engine can be obtained. Then, the ratio of the mileage exceeding the preset vehicle speed to the total mileage is calculated as a high vehicle speed mileage ratio. For example, a range of the vehicle exceeding 90km/h and driven using the engine output may be calculated and compared to the total range to calculate a high vehicle speed range ratio.
Corresponding to the aforementioned steps S1017-S1018, step S102 may comprise: in response to the high vehicle speed mileage ratio of the vehicle to be diagnosed being greater than the comparative high vehicle speed mileage ratio, it is determined that a large proportion of high vehicle speed travel is responsible for the excessive fuel consumption of the vehicle to be diagnosed. The high-speed running with a large proportion is the cause of the excessive oil consumption of the vehicle to be diagnosed, so that a driver can be prompted to reasonably control the speed, and then the oil consumption of the vehicle to be diagnosed is reduced.
In some embodiments of the present disclosure, the vehicle to be diagnosed is a hybrid vehicle (specifically may be an extended range vehicle), and the parameter characterizing the driving load characteristic may include driving power consumption per unit mileage, and the corresponding diagnostic index is driving power consumption. The corresponding step S101 may include steps S1019-S1010.
S1019: the driving power consumption and the driving mileage of the vehicle to be diagnosed when the engine is running are obtained.
S1010: based on the driving power consumption and the driving mileage, the driving power consumption per unit mileage is calculated.
In some embodiments of the present disclosure, a voltage and a current of a motor driving a vehicle to be diagnosed may be obtained, and a driving power consumption of the vehicle to be diagnosed may be determined based on the voltage and the current. And then, calculating the ratio of the driving power consumption to the driving mileage to obtain the driving power consumption per unit mileage. In practical application, the unit mileage driving power consumption is represented by hundred kilometers driving power consumption, and can be specifically adopted Calculating to obtain hundred kilometer driving power consumption E Driving of The driving power consumption under the driving condition of the driving cyclic transmitter can be obtained by integral calculation according to the output power of the driving motor.
Corresponding to the aforementioned steps S1019 and S1010, step S102 may include: and determining that the high driving energy consumption is a cause of high fuel consumption of the vehicle to be diagnosed in response to the power consumption of the vehicle to be diagnosed driven by the unit mileage being greater than the power consumption threshold of the unit mileage driving.
The reason that the driving energy consumption is too high and the high oil consumption of the vehicle to be diagnosed is displayed to the driver, the driver can be prompted to pay attention to selecting a reasonable driving road section, and the situation that the vehicle runs on a continuous ascending and descending road section is avoided.
In some embodiments of the present disclosure, the parameter characterizing the engine efficiency characteristics of the vehicle to be diagnosed includes an inefficient operation time duty cycle, and the corresponding diagnostic indicator is long term inefficient operation of the engine. The foregoing inefficient operation refers to operation at a low rotational speed and low torque condition. Correspondingly, step S101 may include steps S1021-S1022.
S1021: the inefficient operating time and the total operating time when the engine is running are obtained.
S1012: the inefficient run time duty cycle is calculated based on the inefficient run time and the total run time.
Specifically, the time for obtaining the low-efficiency operation time when the engine is running may be a time for accumulating the time when the engine speed is less than the set speed and the output torque is less than the set torque, resulting in the low-efficiency operation time. Subsequently, the ratio of the inefficient run time to the total run time is calculated, resulting in an inefficient run time duty cycle. For example, if the set torque is set to a and the set rotational speed is set to b, then it is possible to employCalculating the inefficient runtime eta Low efficiency 。
Corresponding to the aforementioned steps S1021 and S1022, step S102 may include: in response to the inefficient operating time duty cycle of the vehicle engine to be diagnosed being greater than the inefficient operating time duty cycle threshold, it is determined that long-term inefficient operation of the engine is responsible for high fuel consumption of the vehicle to be diagnosed.
The reason why the engine runs inefficiently for a long time is that the high oil consumption of the vehicle to be diagnosed is displayed to the driver, and the driver can be reminded of avoiding the running state (such as an idle running state) that the engine of the vehicle is in a low-rotation speed and low-torque state for a long time.
In still other embodiments of the present disclosure, the parameter indicative of the engine efficiency characteristic of the vehicle to be diagnosed includes a warm-up time duty cycle of the engine, and the corresponding diagnostic indicator is an excessive warm-up time. The foregoing warm-up time is an accumulated time in which the engine coolant temperature is less than a set temperature (e.g., 72 ℃). Correspondingly, step S101 may include steps S1023-S1024.
S1023: the warm-up operation time and the total operation time of the engine are acquired.
S1024: a warm-up time duty ratio is calculated based on the warm-up time and the total operation time.
For example, can be adoptedCalculating to obtain the warm-up time duty ratio eta Warming-up machine 。
Corresponding to the foregoing steps S1023 and S1024, step S102 may include: and in response to the warm-up time duty cycle of the vehicle engine to be diagnosed being greater than the warm-up time duty cycle threshold, determining that the warm-up time is too long is a cause of high fuel consumption of the vehicle to be diagnosed.
The reason that the long warm-up time is causing the high oil consumption of the vehicle to be diagnosed is shown to the driver, the driver can be prompted to pay attention to avoiding frequent starting and stopping of the engine, and then the excessive oil consumption caused by frequent starting and stopping of the engine is avoided.
In some embodiments of the present disclosure, the vehicle to be diagnosed may be a vehicle to be diagnosed having an energy recovery function, and the vehicle to be diagnosed may implement energy recovery using the energy recovery device when a driver steps on a brake. In this case, the characteristic parameters acquired in step S101 further include the recovery driving energy duty. Accordingly, the step S101 of obtaining the characteristic parameter indicative of the energy consumption characteristic of the vehicle to be diagnosed while the engine is running may include steps S1025 to S1026.
S1025: and acquiring the recovered electric quantity and the driving power consumption of the vehicle to be diagnosed when the engine runs.
S1026: and calculating the recovery driving energy duty ratio based on the recovery electric quantity and the driving power consumption.
For example, can be adoptedCalculating to obtain the recovery driving energy duty ratio eta Recovery of 。
Corresponding to the aforementioned steps S1025-S1026, step S102 may include: in response to the recovered drive energy duty ratio of the vehicle to be diagnosed being less than the recovered drive energy duty ratio threshold, it is determined that the energy recovery rate being set lower is responsible for the high fuel consumption of the vehicle to be diagnosed.
The recovery driving energy duty ratio is displayed to the driver, so that the driver can be prompted to increase the energy recovery rate of the energy recovery device, and then the fuel consumption of the engine is reduced by improving the energy recovery capacity.
In addition, in some embodiments of the present disclosure, the engine state of the vehicle to be diagnosed may also be detected, and when the engine is detected to have a fault, the fault of the transmitter is taken as a cause of high fuel consumption of the vehicle to be diagnosed.
Fig. 2 is a flowchart of a method for diagnosing a cause of high fuel consumption of a vehicle to be diagnosed according to another embodiment of the present disclosure. As shown in fig. 2, in other embodiments of the present disclosure, a vehicle high fuel consumption diagnosis method to be diagnosed includes steps S201 to S205.
S201: and acquiring the unit mileage oil consumption of the vehicle to be diagnosed when the engine is running, and acquiring the reference unit mileage oil consumption.
The fuel consumption per unit mileage is data representing the fuel consumption per unit mileage of the vehicle to be diagnosed. In a specific embodiment, the unit mileage oil consumption is more than hundred kilometers oil consumption (L/100 km), and the hundred kilometers oil consumption can be calculated according to the oil consumption of the engine and the driving mileage of the vehicle to be diagnosed when the engine is running. The fuel consumption during the operation of the engine can be obtained by integrating the fuel injection quantity of the engine, and the driving mileage can be obtained by integrating the operation speed of the vehicle to be diagnosed during the operation of the engine.
In the embodiment of the disclosure, the reference fuel consumption per unit mileage can be obtained by the following method. The first method is to rank the unit fuel consumption of a large number of vehicles with the same type, and take the unit fuel consumption at a preset ranking position as the reference unit flow fuel consumption. The second method is to calculate the mean value and standard deviation according to the unit mileage oil consumption of a large number of vehicles with the same type, and determine the reference unit mileage oil consumption based on the mean value and standard deviation.
S202: judging whether the unit mileage oil consumption of the vehicle to be diagnosed is larger than the reference unit mileage oil consumption; if yes, go to step S203; if not, go to step S205.
S203: and acquiring characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running, and corresponding characteristic parameter thresholds.
In an embodiment of the disclosure, the characteristic parameter characterizing the energy consumption characteristic of the vehicle to be diagnosed when the engine is running may include at least one of a parameter characterizing a non-driving load characteristic, a parameter characterizing a driving load characteristic and a parameter characterizing an engine efficiency characteristic, where the corresponding characteristic parameter corresponds to an index of a cause of high fuel consumption of the vehicle to be diagnosed.
The characteristic parameter threshold is a parameter which reflects reasonable energy consumption characteristics of the vehicle to be diagnosed. The characteristic parameter threshold value corresponds to the characteristic parameter type which characterizes the energy consumption characteristic of the vehicle to be diagnosed when the engine is running. For example, if the characteristic parameter characterizing the energy consumption characteristic of the vehicle to be diagnosed while the engine is running comprises a parameter characterizing the non-driving load characteristic of the vehicle to be diagnosed, the corresponding characteristic parameter threshold is also a parameter characterizing the non-driving load characteristic of the vehicle to be diagnosed
S204: and determining the diagnosis index corresponding to the characteristic parameter as a cause of high oil consumption of the vehicle to be diagnosed in response to the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold value meeting a preset magnitude relation.
S205: and judging that the fuel consumption of the vehicle to be diagnosed is at a normal level.
In the diagnosis method provided by the embodiment of the disclosure, whether the fuel consumption of the vehicle to be diagnosed is too high is determined by acquiring the unit fuel consumption of the vehicle to be diagnosed and the reference unit fuel consumption of the vehicle to be diagnosed. If the fuel consumption is too high, steps S203-S204 are performed to determine the cause of the excessive fuel consumption. And if the fuel consumption is not too high, the step S203-S204 is not executed, and the fuel consumption of the vehicle to be diagnosed is directly judged to be at a normal level. By adopting the method provided by the embodiment of the disclosure, the steps S203-S204 are executed only under the condition that the unit mileage of the vehicle to be diagnosed is judged to be too high, so that the cause of the high fuel consumption can be determined, and the data calculation cost can be reduced.
Fig. 3 is a schematic structural diagram of a vehicle high fuel consumption cause diagnosis device according to some embodiments of the present disclosure. The vehicle high fuel consumption cause diagnosis device can be understood as part of functional modules in the vehicle end processor or the cloud server. As shown in fig. 3, the vehicle high fuel consumption cause diagnosis device 300 provided by the present disclosure includes a characteristic parameter acquisition unit 301 and a diagnosis unit 302.
The characteristic parameter obtaining unit 301 is configured to obtain a characteristic parameter that characterizes an energy consumption characteristic of a vehicle to be diagnosed when the engine is running, and a corresponding characteristic parameter threshold, where the characteristic parameter includes at least one of a parameter that characterizes a non-driving load characteristic, a parameter that characterizes a driving load characteristic, and a parameter that characterizes an engine efficiency characteristic.
The diagnosing unit 302 is configured to determine, in response to the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold value satisfy a preset magnitude relation, that a diagnostic index corresponding to the characteristic parameter is a cause of high fuel consumption of the vehicle to be diagnosed.
In some embodiments of the present disclosure, the vehicle high fuel consumption diagnosis device may further include a fuel consumption acquisition unit and a fuel consumption characteristic determination unit. The fuel consumption acquisition unit is used for acquiring the unit mileage fuel consumption of the vehicle to be diagnosed when the engine is running and acquiring the reference unit mileage fuel consumption. The fuel consumption characteristic judging unit is used for judging whether the unit mileage fuel consumption of the vehicle to be diagnosed is larger than the reference unit mileage fuel consumption. Correspondingly, the characteristic parameter obtaining unit 301 obtains a characteristic parameter representing the energy consumption characteristic of the vehicle to be diagnosed when the engine is running, in the case that the fuel consumption per unit mileage of the vehicle to be diagnosed is greater than the reference fuel consumption per unit mileage.
The present disclosure also provides a computer device comprising: at least one processor; and a memory communicatively coupled to the at least one processor. The memory stores a computer program executable by the at least one processor for causing the computer device to perform a method according to embodiments of the present disclosure when executed by the at least one processor.
The present disclosure also provides a non-transitory computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor of a computer, is for causing the computer to perform a method according to an embodiment of the present disclosure.
The present disclosure also provides a computer program product comprising a computer program, wherein the computer program, when executed by a processor of a computer, is for causing the computer to perform a method according to an embodiment of the present disclosure.
Fig. 4 is a schematic structural diagram of a computer device according to some embodiments of the present disclosure, and referring to fig. 4, a structural block diagram of a computer device 400 that may be a client of the present disclosure, which is an example of a hardware device that may be applied to aspects of the present disclosure, will now be described.
Computer device 400 is intended to represent various forms of digital electronic computer devices, such as laptop computers, desktop computers, running boards, personal digital assistants, and other suitable computers. The computer device 400 may also represent various forms of mobile apparatuses, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing apparatuses. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 4, the computer device 400 includes a computing unit 401 that can perform various appropriate actions and processes according to a computer program stored in a read only memory ROM402 or a computer program loaded from a storage unit 408 into a random access memory RAM 403. In the RAM403, various programs and data required for device operation can also be stored. The computing unit 401, ROM402, and RAM403 are connected to each other by a bus 404. An input/output I/O interface 405 is also connected to bus 404.
Various components in computer device 400 are connected to I/O interface 405, including: an input unit 406, an output unit 407, a storage unit 408, and a communication unit 409.
The input unit 406 may be any type of device capable of inputting information to the computer device 400, and the input unit 406 may receive input numeric or character information and generate key signal inputs related to user settings and/or function controls of the computer device.
The output unit 407 may be any type of device capable of presenting information and may include, but is not limited to, a display, speakers, video/audio output terminals.
Storage unit 408 may include, but is not limited to, magnetic disks, optical disks.
The communication unit 409 allows the computer device 400 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunications networks, and may include, but is not limited to, modems, network cards, infrared communication devices, wireless communication transceivers and/or chipsets, such as bluetooth (TM) devices, wiFi devices, wiMax devices, cellular communication devices, and/or the like.
The computing unit 401 may be a variety of general purpose and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 401 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 401 performs the respective methods and processes described above. For example, in some embodiments, the vehicle high fuel consumption cause diagnostic method may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 408.
In some embodiments, part or all of the computer program may be loaded and/or installed onto the computer device 400 via the ROM 402 and/or the communication unit 409. In some embodiments, the computing unit 401 may be configured to perform the vehicle fuel consumption cause diagnosis method by any other suitable means (e.g. by means of firmware).
Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
As used in this disclosure, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
The above is merely a specific embodiment of the disclosure to enable one skilled in the art to understand or practice the disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (13)

1. A method for diagnosing a cause of high fuel consumption in a vehicle, comprising:
the method comprises the steps of obtaining characteristic parameters representing energy consumption characteristics of a vehicle to be diagnosed when an engine runs, wherein the characteristic parameters comprise at least one of parameters representing non-driving load characteristics, parameters representing driving load characteristics and parameters representing engine efficiency characteristics, the vehicle to be diagnosed is a hybrid vehicle, the parameters representing the non-driving load characteristics comprise unit mileage recharging amount, and the obtaining the characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine runs specifically comprises: acquiring the recharging amount and the driving mileage of the vehicle to be diagnosed when the engine runs; calculating the unit mileage recharge amount based on the recharge amount and the travel mileage;
and determining that the diagnostic index corresponding to the characteristic parameter is the cause of high oil consumption of the vehicle to be diagnosed according to the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold value meeting the preset magnitude relation, wherein the method comprises the following steps: and in response to the unit mileage recharging amount of the vehicle to be diagnosed being greater than the unit mileage recharging amount threshold, determining that the more charged power battery of the vehicle to be diagnosed is the cause of high fuel consumption of the vehicle.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises,
before the characteristic parameters characterizing the energy consumption characteristics of the vehicle to be diagnosed while the engine is running are acquired, the method further comprises: acquiring the unit mileage oil consumption of the vehicle to be diagnosed when the engine runs;
and executing the step of acquiring the characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running under the condition that the unit mileage oil consumption of the vehicle to be diagnosed is larger than the reference unit mileage oil consumption.
3. The method of claim 1, wherein prior to obtaining the characteristic parameter indicative of the energy consumption characteristics of the vehicle to be diagnosed while the engine is running, the method further comprises:
acquiring the characteristic parameters of a plurality of vehicles with the same model as the vehicle to be diagnosed;
sequencing the characteristic parameters of the same type of the plurality of vehicles, and taking the characteristic parameters at a preset sequencing position as the characteristic parameter threshold corresponding to the characteristic parameters of the same type; or alternatively, the process may be performed,
and calculating a characteristic parameter mean value and a characteristic parameter standard deviation based on the characteristic parameters of the same type of the plurality of vehicles, and calculating the characteristic parameter threshold value corresponding to the characteristic parameters of the same type according to the characteristic parameter mean value and the characteristic parameter standard deviation.
4. A method according to any one of claims 1-3, characterized in that the parameter characterizing the non-driven load characteristics comprises accessory average power;
the obtaining of the characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running comprises the following steps:
acquiring total accessory energy consumption of the vehicle to be diagnosed when an engine runs and running time of the engine;
calculating the accessory average power based on the accessory total energy consumption and the runtime;
the determining that the diagnostic index corresponding to the characteristic parameter is the cause of the high oil consumption of the vehicle to be diagnosed includes: and determining that the excessive accessory power is the reason for causing the high oil consumption of the vehicle to be diagnosed in response to the average accessory power of the vehicle to be diagnosed being higher than an average accessory power threshold.
5. A method according to any one of claims 1-3, characterized in that the parameter characterizing the driving load characteristics comprises a driving shock coefficient;
the obtaining of the characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running comprises the following steps:
acquiring the speed and the acceleration of the vehicle to be diagnosed when the engine runs and is in an acceleration stage;
Calculating the driving shock coefficient based on the speed and the acceleration;
the determining that the diagnostic index corresponding to the characteristic parameter is the cause of the high oil consumption of the vehicle to be diagnosed includes: and determining that aggressive driving is a cause of high oil consumption of the vehicle to be diagnosed in response to the driving aggressive coefficient of the vehicle to be diagnosed being greater than a driving aggressive coefficient threshold.
6. A method according to any one of claims 1 to 3, wherein the parameter indicative of the driving load characteristics comprises a high vehicle speed mileage;
the obtaining of the characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running comprises the following steps:
acquiring the total driving mileage of the vehicle to be diagnosed when the engine runs and the driving mileage of the vehicle speed exceeding the preset vehicle speed;
calculating the high vehicle speed mileage ratio based on the vehicle speed mileage exceeding a preset vehicle speed and the total vehicle speed mileage;
the determining that the diagnostic index corresponding to the characteristic parameter is the cause of the high oil consumption of the vehicle to be diagnosed includes: and determining that a large proportion of high-speed running is a cause of high oil consumption of the vehicle to be diagnosed in response to the high-speed mileage ratio of the vehicle to be diagnosed being greater than a high-speed mileage ratio threshold.
7. A method according to any one of claims 1 to 3, wherein the parameter indicative of the driving load characteristics comprises driving power consumption per unit mileage;
the obtaining of the characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running comprises the following steps:
acquiring the driving power consumption and the driving mileage of the vehicle to be diagnosed when the engine runs;
calculating the driving power consumption per unit mileage based on the driving power consumption and the driving mileage;
the determining that the diagnostic index corresponding to the characteristic parameter is the cause of the high oil consumption of the vehicle to be diagnosed includes: and determining that the high driving energy consumption is a cause of the high fuel consumption of the vehicle to be diagnosed in response to the unit mileage driving power consumption of the vehicle to be diagnosed being greater than the unit mileage driving power consumption threshold.
8. A method according to any one of claims 1-3, wherein the parameter indicative of engine efficiency characteristics comprises an inefficient run time duty cycle;
the obtaining of the characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running comprises the following steps:
Acquiring the low-efficiency working time and the total running time of the engine during running;
calculating the inefficient run time duty cycle based on the inefficient run time and the total run time;
the determining that the diagnostic index corresponding to the characteristic parameter is the cause of the high oil consumption of the vehicle to be diagnosed includes: and determining that the long-term inefficient operation of the engine is a cause of high oil consumption of the vehicle to be diagnosed in response to the inefficient operation time duty cycle of the engine of the vehicle to be diagnosed being greater than an inefficient operation time duty cycle threshold.
9. A method according to any one of claims 1-3, wherein the parameter indicative of the engine efficiency characteristic comprises a warm-up time duty cycle;
the obtaining of the characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running comprises the following steps:
acquiring the warm-up operation time and the total operation time of the engine;
calculating the warm-up time duty ratio based on the warm-up time and the total operation time;
the determining that the diagnostic index corresponding to the characteristic parameter is the cause of the high oil consumption of the vehicle to be diagnosed includes: and determining that the overlong warm-up time is a cause of high oil consumption of the vehicle to be diagnosed in response to the warm-up time duty ratio of the vehicle engine to be diagnosed being greater than a warm-up time duty ratio threshold.
10. A method according to any one of claims 1-3, characterized in that the vehicle to be diagnosed is a hybrid vehicle with an energy recovery function, the characteristic parameters further comprising a recovery drive energy duty;
the obtaining of the characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine is running comprises the following steps:
acquiring the recovered electric quantity and the driving power consumption of the vehicle to be diagnosed when the engine runs;
calculating the recovered driving energy duty based on the recovered power amount and the driving power consumption;
the determining, in response to the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold value satisfying a preset magnitude relation, the diagnostic indicator corresponding to the characteristic parameter as a cause of high fuel consumption of the vehicle to be diagnosed includes: and in response to the recovered driving energy duty ratio of the vehicle to be diagnosed being smaller than the recovered driving energy duty ratio threshold, determining that the low energy recovery ratio is the cause of high oil consumption of the vehicle to be diagnosed.
11. A vehicle high fuel consumption cause diagnosis device, characterized by comprising:
the system comprises a characteristic parameter acquisition unit, a characteristic parameter judgment unit and a characteristic parameter judgment unit, wherein the characteristic parameter acquisition unit is used for acquiring characteristic parameters representing energy consumption characteristics of a vehicle to be diagnosed when an engine runs, the characteristic parameters comprise at least one of parameters representing non-driving load characteristics, parameters representing driving load characteristics and parameters representing engine efficiency characteristics, the vehicle to be diagnosed is a hybrid vehicle, the parameters representing the non-driving load characteristics comprise unit mileage recharging amount, and the characteristic parameters representing the energy consumption characteristics of the vehicle to be diagnosed when the engine runs specifically comprise: acquiring the recharging amount and the driving mileage of the vehicle to be diagnosed when the engine runs; calculating the unit mileage recharge amount based on the recharge amount and the travel mileage;
The diagnosis unit is used for determining that the diagnosis index corresponding to the characteristic parameter is the cause of high oil consumption of the vehicle to be diagnosed according to the characteristic parameter of the vehicle to be diagnosed and the corresponding characteristic parameter threshold value meeting the preset magnitude relation, and comprises determining that the more charged power battery of the vehicle to be diagnosed is the cause of high oil consumption of the vehicle according to the fact that the unit mileage charge quantity of the vehicle to be diagnosed is larger than the unit mileage charge quantity threshold value.
12. A computer device, comprising:
a processor; and
a memory in which a program is stored,
wherein the program comprises instructions which, when executed by the processor, cause the processor to perform the method according to any of claims 1-10.
13. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-10.
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