Method for verifying a determined driving resistance value of a motor vehicle, motor vehicle and test system

Abstract

Method for verifying a determined driving resistance value of a motor vehicle (100), comprising the following steps: a. driving a motor vehicle (100) over a calibration track (200), wherein the calibration track (200) has known road surface characteristics which influence a fuel consumption value of the motor vehicle (100); b. by means of a consumption monitoring unit, determining the consumption value of the motor vehicle (100) when driving over the calibration distance (200); c. by means of a computing device (30), determining a driving resistance value based on the consumption value; characterized by the fact that d. by means of a storage device (31), maintaining the known road surface properties of the calibration track (200) and on the basis of these determining an expected driving resistance range by means of the computing device (30); and e. using the computing device (30), comparing whether the driving resistance value is within an expected driving resistance range, and outputting a resulting comparison value, Comparing whether the driving resistance value is within an expected driving resistance range includes the following: using the computing device (30), determining the expected driving resistance range based on the following values ​​which influence the fuel consumption of the motor vehicle (100): - a road resistance value, which has been determined using the road surface properties; and - a vehicle resistance value, which has been determined using vehicle specifications of the motor vehicle (100).

Description

[0001] The invention relates to a method for verifying a determined driving resistance value of a motor vehicle according to claim 1, a motor vehicle according to claim 8 and a test system according to claim 9 for carrying out such a method.

[0002] The invention relates to a method for verifying a determined driving resistance value of a motor vehicle, comprising the following steps: a. driving a motor vehicle over a calibration track, wherein the calibration track has known road surface characteristics that influence the fuel consumption value of the motor vehicle; b. by means of a fuel consumption monitoring unit, determining the fuel consumption of the motor vehicle when driving over the calibration route; and c. by means of a computing device, determining a driving resistance value based on the consumption value.

[0003] Legislators are increasingly requiring the monitoring of emissions and fuel consumption (i.e., consumption figures) of motor vehicles, and the identification and, if necessary, reporting of deviations from the approved homologation specifications. Possible causes of increased energy consumption include, for example, increased driving resistance due to higher wheel bearing friction, increased brake friction without application, and / or increased friction in the transmission. Particularly poor aerodynamics or wheel misalignment can also lead to increased driving resistance and thus higher consumption figures. Therefore, in industrial practice, there is a growing trend to monitor individual vehicle components to identify potential causes of increased consumption figures.

[0004] For example, according to the summary of DE 10 2011 013 022 B3, a method for determining the driving resistance (Fw) of a vehicle is known, wherein the driving resistance (Fw) is calculated taking into account a value for the vehicle mass (m). Before the journey begins, the vehicle mass (m) and driving resistance coefficients (F0, F1, F2) are estimated using an estimation method taking sensor signals into account, and an initial value for the driving resistance (Fw) is calculated from this. Then, during the journey, a corrected value for the driving resistance (Fw) and the vehicle mass (m) is calculated based on driving measurements taken successively over time.

[0005] For example, DE 197 43 059 A1 discloses a method for determining a quantity representing the driving resistance of a motor vehicle according to claim 1, wherein rotatable elements such as a vehicle engine, engine ancillary components, a clutch, a torque converter, a transmission with variable ratio, a differential gear and / or vehicle wheels are arranged in the vehicle's drivetrain, comprising the following steps: detection of an acceleration quantity (a L) representing the instantaneous acceleration of the vehicle; determination of a reference quantity (a L,erw) for the acceleration of the vehicle; determination of the quantity representing the driving resistance of a motor vehicle depending on a comparison of the detected acceleration quantity (a L) with the determined reference quantity (a L,erw), characterized in that a rotation quantity (md m rot, md na rot) representing the rotational torque of at least one element arranged in the drivetrain is used.md w rot e, md w rot a, md g rot, md d rot, md r rot) is determined and the determination of the reference quantity (a L,erw) depends on the determined rotation quantity.

[0006] Roberts et al., “ROE Plus - The Development of a Road, Rig and Engine-in-the-Loop Test Methodology for Real Driving Emissions Compliance,” describes RDE data from vehicles with different powertrain technologies, collected at various European test sites under conditions that comply with the limits defined by the RDE protocol. After acquiring a combination of vehicle CAN bus, instrument, and emissions data (Portable Emissions Measurement System (PEMS)), the recorded RDE routes were replicated on a chassis dynamometer to develop an approach for replicating RDE tests in a laboratory environment.

[0007] EP 3 206 007 A1 describes a method for conducting a test drive of a vehicle in a real-world environment, wherein the method iteratively performs the following steps: a) collecting data in real time from at least one of the following sources during the test drive: PEMS kit, vehicle OBD port, vehicle NOx sensor, GPS; b) determining one or more of the following parameters from the data collected in step a): speed, fuel consumption, torque, engine speed, NOx value, CO value, COr value, GPS information; c) determining several characterizing values ​​from the parameters of step b); and d) visualizing the results of step c).

[0008] The invention, in contrast to previously known methods, vehicles and testing systems, is based on the objective of solving the following problem with the simplest and most cost-effective means possible: A procedure for verifying the total driving resistance of a motor vehicle is to be provided, which will nevertheless allow for the rapid identification of causes for increased energy consumption. Furthermore, a motor vehicle and a test system for conducting such a verification are to be provided.

[0009] According to claim 1, the above problem is solved by the following steps: d. by means of a storage device, maintaining the known road surface properties of the calibration track and, on the basis thereof, determining an expected driving resistance range by means of the computing device; and e. using the computing device, comparing whether the driving resistance value is within an expected driving resistance range, and outputting a resulting comparison value.

[0010] Advantageous embodiments of the invention are characterized in the dependent claims.

[0011] According to one embodiment of the invention, a method for verifying a determined driving resistance value of a motor vehicle is proposed, comprising the following steps: a. driving a motor vehicle over a calibration track, wherein the calibration track has known road surface characteristics that influence the fuel consumption value of the motor vehicle; b. by means of a fuel consumption monitoring unit, determining the fuel consumption of the motor vehicle when driving over the calibration route; and c. by means of a computing device, determining a driving resistance value based on the consumption value.

[0012] The procedure is characterized primarily by the following further steps: d. by means of a storage device, maintaining the known road surface properties of the calibration track and, on the basis thereof, determining an expected driving resistance range by means of the computing device; and e. using the computing device, comparing whether the driving resistance value is within an expected driving resistance range, and outputting a resulting comparison value.

[0013] The term "consumption value" here refers to a value that reflects the energy consumption of the motor vehicle during a journey; for example, it reflects the amount of energy consumed, such as gas, petrol or diesel, or the electrical power drawn from a battery.

[0014] A driving resistance value, as used here, is understood to be a value that reflects the total driving resistance of the vehicle. This includes, for example, driving resistances caused by the road surface characteristics of the calibration track, driving resistances caused by weather and environmental conditions, driving resistances caused by driving behavior, such as acceleration, steering movements and / or gear shifting, and driving resistances caused by the vehicle itself, such as mechanical friction losses, losses in the electrical drive system, wheel tilt, or tire pressure. The vehicle-related driving resistances can be determined, at least partially, from vehicle specifications that may be stored on the memory device. These vehicle specifications may be based on the vehicle model or be vehicle-specific.

[0015] In this context, a driving resistance range is understood to be a range, defined by an upper and a lower limit, within which the driving resistance of the motor vehicle is expected to fall, at least under certain environmental conditions and driving behavior. For example, the driving resistance range is determined from a large number of fuel consumption values ​​measured on the same calibration track over numerous runs. Preferably, fuel consumption values ​​obtained through runs by similar vehicles, such as the same model, are used. Alternatively, the vehicle-related driving resistances can be taken into account, meaning that fuel consumption values ​​from other vehicle models can also be used to determine a driving resistance range. Preferably, the fuel consumption values ​​were determined under similar environmental and weather conditions and with the same driving style.For example, drivers can receive instructions to maintain the same driving style when driving over a calibration track. Alternatively or additionally, measurement data from a calibration vehicle and / or data from a model-based simulation can be used to determine the driving resistance range.

[0016] The computing unit comprises at least one processor unit. Such a processor unit is, for example, a general-purpose processor (CPU) or microprocessor, RISC processor, GPU, and / or DSP. In one embodiment, the computing unit is configured exclusively for the task mentioned herein. In a preferred embodiment, the computing unit is configured for a multitude of tasks, which can be processed by the computing unit in real time and / or quasi-parallel. The computing unit is, for example, located in the motor vehicle and is portable. Alternatively or additionally, the computing unit is partially or completely located externally and is in a data connection with the vehicle.

[0017] The storage device is, for example, a hard disk drive (HDD, SSD, HHD) or a (non-volatile) solid-state memory, such as ROM or flash memory (flash EEPROM). The storage device often comprises multiple individual physical storage units or is distributed across a large number of separate devices, allowing access via data communication, such as a package data service. The latter is a decentralized solution, where the storage device and computing device(s) are used by a large number of separate computing units instead of, or in addition to, a single, integrated central computer. In one exemplary embodiment, the storage device is portable, i.e., carried in a motor vehicle. In another embodiment, the storage device is replaced or supplemented by an external storage unit.In one embodiment, the storage device is configured exclusively for the task mentioned here. In a preferred embodiment, the storage device is configured for a multitude of storage tasks, wherein, for example, a portion of the physically monolithic and / or structurally unified storage device is exclusively responsible as a virtual partition and / or the data is registered coherently only in software, but physically stored in a more or less randomly distributed manner.

[0018] According to the invention, the method further comprises the following step: e. using the computing device, determining the expected driving resistance range based on the following values, which influence the fuel consumption of the motor vehicle: - a road resistance value, which has been determined using the road surface properties; and - a vehicle resistance value, which has been determined using the vehicle specifications of the motor vehicle.

[0019] The road surface resistance value indicates a proportion of the vehicle's driving resistance that is caused by the road surface properties of the calibration track.

[0020] The vehicle resistance value indicates a proportion of the vehicle's driving resistance that is determined by the vehicle specifications.

[0021] According to another embodiment of the method, the driving resistance value, a road resistance value determined by means of the road surface properties and / or a vehicle resistance value determined by means of the vehicle specifications is determined in a model-based method.

[0022] According to another embodiment, the method further comprises the following steps: f. if the determined driving resistance value is outside the expected driving resistance range, perform a root cause analysis using the computing device, which includes at least one of the following sub-steps: Driving over the same calibration track with at least one other motor vehicle, for which the method according to an embodiment as described above is also carried out, and checking, by means of the computing device, whether the determined driving resistance value is outside the expected driving resistance range for a plurality, preferably a majority, of the motor vehicles; f.ii Driving over at least one further calibration track with the same motor vehicle and, using the computing device, checking whether the determined driving resistance value for a plurality of calibration tracks, preferably a majority of calibration tracks, lies outside the expected driving resistance range; and f.iii Driving over the same calibration track with a calibration vehicle and, using the calibration vehicle and the computing device, checking whether the road surface properties assigned to the calibration track are correct.

[0023] According to another embodiment, the method further includes the step: g. using an environmental sensor, check whether the calibration track, which is traversed according to step a., is currently suitable for carrying out the procedure, where the computing device is used to check whether a proportion of external resistance influences exceeds a predetermined limit value on the driving resistance value, where the resistance influences preferably include at least one resistance influence from the following list: - current road surface properties that change in the longitudinal direction of the vehicle and / or in the transverse direction of the vehicle; - Road surface contamination; - Weather conditions; and - Presence of other road users.

[0024] In this case, the driving resistance value is therefore composed of a resistance value based on external resistance influences, the road resistance value, and the vehicle resistance value.

[0025] Road surface characteristics that change in the longitudinal direction and / or transverse direction of the vehicle within the calibration track include, for example, different road surface materials, gradients and / or levels of contamination.

[0026] According to another embodiment of the method, at least one of the following road surface properties is included: - a slope of the road; - a rolling resistance coefficient of the road surface; - a wind load on the calibration track; and - a road gradient perpendicular to a direction of travel.

[0027] Rolling resistance coefficients are determined, for example, by the hardness / flexibility of the road surface, its roughness, or its materiality.

[0028] According to another embodiment, the method further includes the step: h. by means of an interface, outputting an error message if in step d. it is determined that the determined road resistance value is outside the expected driving resistance range.

[0029] The interface is, for example, a user interface or an interface to the computing system or a part of the computing system.

[0030] According to another embodiment, the method further comprises the following steps: i. Determining the road surface characteristics of the calibration track using the environmental sensor of one or more motor vehicles or calibration vehicles; and j. storing the road surface properties by means of a storage device.

[0031] Furthermore, according to claim 8, the problem is solved by a motor vehicle for carrying out the method according to an embodiment as described above, comprising at least the following components: - a drive to generate a propulsive torque; - at least one drive wheel by means of which the drive torque can be converted into propulsion of the motor vehicle; - a fuel consumption monitoring unit, which is designed to monitor the fuel consumption value of the motor vehicle; - a computing device which is set up for determining a driving resistance value and for comparing whether the driving resistance value lies within an expected driving resistance range; and - an environmental sensor which is designed to determine the environmental conditions of the motor vehicle.

[0032] Furthermore, according to claim 9, the problem is solved by a test system for checking vehicle resistance values ​​of motor vehicles with a method according to an embodiment according to the above description, comprising at least the following components: - a computing device which is set up to determine a driving resistance value and to compare whether the driving resistance value lies within an expected driving resistance range; - a storage device which is set up to store road properties and is in a data transmission connection with the computing device; - at least one motor vehicle equipped with a fuel consumption monitoring unit; and - at least one calibration track to which road surface properties can be assigned, furthermore comprising either at least one additional motor vehicle of a consumption monitoring unit, at least one additional calibration track and / or at least one calibration vehicle.

[0033] Exemplary embodiments of the invention are explained in more detail below with reference to the drawing. The drawing shows: Fig. 1: in a symbolic representation, a test system for checking driving resistance values ​​in motor vehicles, Fig. 2: a diagram of a procedure for checking driving resistance values ​​in motor vehicles, and Fig. 3: A motor vehicle in a symbolic top view.

[0034] Fig. Figure 1 shows a test system 300 for checking driving resistance values. The test system 300 comprises, as shown, several motor vehicles 100, several calibration tracks 200, and a central control unit 32 with a computing unit 30, which includes at least one processor, a storage unit 31 for storing data, and a communication interface 33. The central control unit 32 is in a data transmission connection TL with the motor vehicles 100 of the test system 300 via the communication interface 33.

[0035] A calibration track 200 is, for example, a predefined track, such as a road segment, whose position is stored on a memory device 31. In this case, the computer 30 can determine, based on position data from the vehicle 100, when the vehicle 100 crosses a calibration track 200. Alternatively, a track can be temporarily designated as a calibration track 200 by the computer 30 if the computer 30 determines, based on measurement data from environmental sensors 10 of the vehicle 100 and / or other vehicles 100, that the track is temporarily suitable as a calibration track 200.

[0036] Each of the calibration tracks 200 has a road surface 20 with road surface properties that influence the driving resistance of the motor vehicles 100. The road surface properties of the respective calibration tracks 200 are stored on the storage device 31 and assigned to the respective calibration track. The road surface properties can be determined, for example, by driving over the calibration track 200 with a calibration vehicle that is equipped to determine the road surface properties. Such a calibration vehicle is, for example, equipped with additional environmental sensors 10 and measuring devices compared to a standard production vehicle, such as the motor vehicles 100 shown, and / or is regularly checked or calibrated. Alternatively or additionally, the road surface properties are determined using the motor vehicles 100 or their environmental sensors 10.For example, the road surface properties on the storage device 31 are regularly updated using a fleet of motor vehicles 100. Road surface properties can also be retrieved from other databases, such as map services, or determined or verified using other measurement methods. Road surface properties include, for example, the gradient of the road surface 20 in the longitudinal direction of the vehicle, the inclination of the road surface 20 in the transverse direction of the vehicle, the hardness, materiality, roughness, and / or wind load of the road surface 20.

[0037] When a motor vehicle 100, whose driving resistance values ​​are to be checked, travels over a calibration track 200, a consumption value is determined by means of a consumption monitoring unit of the motor vehicle 100, for example, the consumption 11 of fuel or electrical energy from a battery. The consumption value is transmitted to the computing unit 30, which calculates a total driving resistance value for the motor vehicle 100 based on the consumption value. Furthermore, a comparison is made to check whether the determined driving resistance value lies within an expected driving resistance range for the calibration track 200 and the motor vehicle 100. The expected driving resistance range is determined based on vehicle specifications of the motor vehicle 100 and the road surface properties, which may each be stored on the storage device 31.The expected driving resistance range is determined, for example, using a model or retrieved from a database of storage device 31, in which it is assigned to the calibration track 200 and, for example, to a vehicle model or a group of vehicle types.

[0038] Preferably, other factors influencing driving resistance are not taken into account. The determination of the driving resistance value is preferably carried out when other factors influencing driving resistance, such as driving behavior or weather conditions, are negligible, for example, when the road is dry, there is little wind, and the driver is driving straight ahead without gear changes or accelerations.

[0039] If the measured driving resistance value of the vehicle lies outside the expected driving resistance range, usually above an upper limit of the driving resistance range, there is a high probability that the vehicle 100 is experiencing increased energy consumption, which must or should be reported. In some cases, however, a deviation in the road surface characteristics of the calibration track 200, not detected by the vehicle 100's environmental sensors 10, may also be decisive. To verify this, the relevant calibration track 200 is driven over by a calibration vehicle, for example.

[0040] Alternatively or additionally, the calibration track 200 is driven over by, for example, further motor vehicles 100, whose driving resistance values ​​are each compared with the expected driving resistance range for the respective motor vehicle 100. If the driving resistance values ​​of a preponderance, preferably at least 60%, at least 80%, or at least 90%, of the further motor vehicles 100 lie within the expected driving resistance range of the respective motor vehicles 100, it can be assumed that the increased fuel consumption of the original motor vehicle 100 is due to vehicle-related factors.

[0041] Alternatively or additionally, for example, if no other vehicles 100 drive over the same calibration track 200 within a specified period, such as a maximum of ten hours, one day, or three days, the driver of vehicle 100 is instructed to drive over one or more additional calibration tracks 200. If a deviation of the driving resistance value from the expected driving resistance range is also detected on these calibration tracks 200, it can also be assumed that, for example, an increased fuel consumption value of vehicle 100 is caused by the vehicle itself and not by the calibration tracks 200.

[0042] If a vehicle-related increase in fuel consumption or driving resistance is detected, a notification is preferably issued. For example, the driver is informed via an infotainment system that increased fuel consumption has been measured and is advised to visit a workshop. Alternatively or additionally, the vehicle manufacturer is informed of the increased fuel consumption. If a calibration track 200 is identified as the cause of the deviation between the measured driving resistance and the expected driving resistance range, this can be communicated to the vehicle manufacturer or an operator of the test system 300, for example, to remeasure the road surface characteristics of the calibration track 200 and / or to remove the calibration track 200, at least temporarily, from a list of available calibration tracks 200 on the storage device 31.In one embodiment, the painting of the calibration section 200 is carried out automatically by means of the computing device 30.

[0043] Fig. Figure 2 shows a diagram of a procedure for checking driving resistance values ​​in motor vehicles 100. The procedure shown is used, for example, with a test system 300 according to Fig. 1. Performed. The corresponding description applies accordingly.

[0044] According to the procedure, in one step a. a calibration track 200 is driven over by a motor vehicle 100. The calibration track 200 is as follows: Fig. 1 explains, known road surface characteristics are assigned which influence the fuel consumption value of the motor vehicle 100.

[0045] In an optional step g., an environmental sensor 10 is used to check whether the calibration track 200, which is traversed according to step a., is currently suitable for carrying out the procedure. For this purpose, the computing unit 30 is used, for example, to check whether a proportion of external resistance influences exceeds a predefined limit value on the driving resistance value. Such resistance influences include, for example, current road surface properties that change in the longitudinal and / or transverse direction of the vehicle over the calibration track 200, such as roughness, hardness, gradient and / or material of the road surface 20, road surface contamination; weather conditions; and / or the presence of other road users.Preferably, the procedure is not carried out if the calibration distance 200 is considered too high due to the proportion of external resistance influences and therefore no conclusion can be drawn from the comparison between the determined driving resistance value and the expected driving resistance range.

[0046] In an optional step i., the road surface properties of the calibration track 200 are determined using the environmental sensor 10 of one or more motor vehicles 100 or calibration vehicles and stored in a storage device 31 in a step j. This step can take place at any point in the procedure if road surface properties for the relevant calibration track 200 are already stored in the storage device 31.

[0047] In step b., the fuel consumption value of the motor vehicle 100 is determined using the consumption monitoring unit when driving over the calibration distance 200.

[0048] In step c., a driving resistance value is then determined using the computing device 30 based on the consumption value.

[0049] In step d. of the procedure, the known road surface properties of the calibration track 200 are stored by means of the storage device 31 and on the basis of these an expected driving resistance range is determined by the computing device 30.

[0050] In step e., the computing device 30 is then used to compare whether the driving resistance value is within the expected driving resistance range, and a resulting comparison value is output.

[0051] In a subsequent, optional step f., a root cause analysis is performed using the computing unit 30 if the determined driving resistance value lies outside the expected driving resistance range. This can be determined, for example, based on the reference value. As already described in [reference], Fig. 1 explains, checks whether the cause for a deviation of the determined driving resistance value from the expected driving resistance range is due to vehicle-related or track-related factors.

[0052] For example, in one step fi, the same calibration track 200 is driven over by at least one further, preferably a plurality of, motor vehicles 100, for which the method according to an embodiment as described above is also carried out. The computing device 30 is used to check whether the determined driving resistance value for a plurality, preferably a majority, of the driving resistance values ​​determined by the further motor vehicles 100 lies outside the expected driving resistance range.

[0053] Alternatively or additionally, in step f.ii, at least one further calibration track 200, preferably a plurality of calibration tracks 200, is driven over with the same motor vehicle 100. The computer device 30 is used to check whether the determined driving resistance value for a plurality of calibration tracks 200, preferably a majority of calibration tracks 200, lies outside the expected driving resistance range.

[0054] Alternatively or additionally, in step f.iii, the same calibration track 200 is driven over with a calibration vehicle and, using the calibration vehicle, the computer device 30 is used to check whether the road surface properties assigned to the calibration track 200 are correct.

[0055] Optionally, in step h., a notification, such as an error message, is then output via an interface if it is determined in step d. that the calculated road resistance value is outside the expected driving resistance range. As in Fig. As explained in section 1, the indication may, depending on the results of step f., be, for example, an indication of increased fuel consumption 11 of the motor vehicle 100 or an error in the stored road surface characteristics of the calibration track 200.

[0056] Fig. Figure 3 shows a motor vehicle 100 in a symbolic top view. The motor vehicle 100 is used to carry out a procedure according to Fig. 2 set up and, for example, part of a test system 300 according to Fig. 1.

[0057] Such a motor vehicle 100 has at least one drive, for example an electric and / or internal combustion engine drive, for generating a propulsive torque and at least one propulsive wheel 11 by means of which the propulsive torque of the drive can be converted into a propulsion of the motor vehicle 100.

[0058] Furthermore, for carrying out the procedure described above, the vehicle has a fuel consumption monitoring unit (not shown) which is configured to monitor the fuel consumption of the motor vehicle 100; a computing device 30 which is configured to determine a driving resistance value and to compare whether the driving resistance value is within an expected driving resistance range; and, as shown, six environmental sensors 10 which are configured to determine the environmental conditions of the motor vehicle 100. The environmental sensors 10 are, for example, cameras, temperature sensors, sensors for measuring wind speed or a gradient in the longitudinal direction of the vehicle or a tilt in the transverse direction of the vehicle. Reference symbol list 100 motor vehicles 200 calibration track 300 testing system 10 Environmental sensor 11 Drive wheel 20 lanes 30 computer equipment 31 Storage device 32 Control unit 33 Communication interface TL data transmission connection

Claims

[1] Method for verifying a determined driving resistance value of a motor vehicle (100), comprising the following steps: a. driving a motor vehicle (100) over a calibration track (200), wherein the calibration track (200) has known road surface characteristics which influence a fuel consumption value of the motor vehicle (100); b. by means of a consumption monitoring unit, determining the consumption value of the motor vehicle (100) when driving over the calibration distance (200); c. by means of a computing device (30), determining a driving resistance value based on the consumption value; characterized by , that d. by means of a storage device (31), maintaining the known road surface properties of the calibration track (200) and on the basis of these determining an expected driving resistance range by means of the computing device (30); and e. using the computing device (30), comparing whether the driving resistance value is within an expected driving resistance range, and outputting a resulting comparison value, Comparing whether the driving resistance value is within an expected driving resistance range includes the following: using the computing device (30), determining the expected driving resistance range based on the following values ​​which influence the fuel consumption of the motor vehicle (100): - a road resistance value, which has been determined using the road surface properties; and - a vehicle resistance value, which has been determined using vehicle specifications of the motor vehicle (100). [2] Method according to claim 1, wherein the driving resistance value, a road resistance value determined by means of the road surface properties and / or a vehicle resistance value determined by means of the vehicle specifications are determined in a model-based method. [3] Method according to claim 1 or 2, further comprising the steps of: f. if the determined driving resistance value is outside the expected driving resistance range, by means of the computing device (30) carrying out a root cause check which includes at least one of the following sub-steps: Driving over the same calibration track (200) with at least one further motor vehicle (100), for which the method according to one of the preceding claims is also carried out and, by means of the computing device (30), checking whether the determined driving resistance value for a plurality, preferably a majority, of the motor vehicles (100) is outside the expected driving resistance range; f.ii Driving over at least one further calibration section (200) with the same motor vehicle (100) and, using the computing device (30), checking whether the determined driving resistance value for a plurality of calibration sections (200), preferably a majority of calibration sections (200), lies outside the expected driving resistance range; and f.iii Driving over the same calibration track (200) with a calibration vehicle and, using the calibration vehicle via the computing device (30), checking whether the road surface properties assigned to the calibration track (200) are correct. [4] Method according to any of the preceding claims, further comprising the step of: g. using an environmental sensor (10), check whether the calibration section (200), which is traversed according to step a., is currently suitable for carrying out the procedure, wherein the computing device (30) is used to check whether a proportion of external resistance influences exceeds a predetermined proportion limit value on the driving resistance value, where preferably the resistance influences include at least one resistance influence from the following list: - current road surface properties that change in the longitudinal direction of the vehicle and / or in the transverse direction of the vehicle; - Road surface contamination; - Weather conditions; and - Presence of other road users. [5] Method according to any of the preceding claims, wherein at least one of the following roadway properties is included: - a gradient of the road (20); - a rolling resistance coefficient of the road surface (20); - a wind load on the calibration track (200); and - a road gradient perpendicular to a direction of travel. [6] Method according to any one of the preceding claims, further comprising the step of: h. by means of an interface, outputting an error message if in step e. it is determined that the determined road resistance value is outside the expected driving resistance range. [7] A method according to any one of the preceding claims, further comprising the steps of: i. by means of the environmental sensor (10) of one or more motor vehicles (100) or calibration vehicles, determining the road surface properties of the calibration track (200); and j. by means of a storage device (31) storing the road surface properties. [8] Motor vehicle (100) for carrying out the method according to any of the preceding claims, comprising at least the following components: - a drive to generate a propulsive torque; - at least one drive wheel (11) by means of which the drive torque can be converted into a propulsion of the motor vehicle (100); - a consumption monitoring unit which is equipped to monitor a consumption value of the motor vehicle (100); - a computing device (30) which is set up for determining a driving resistance value and for comparing whether the driving resistance value is within an expected driving resistance range, wherein the comparison whether the driving resistance value is within an expected driving resistance range comprises the following: Determining the expected driving resistance range based on the following values, which influence the fuel consumption of the motor vehicle (100): - a road resistance value, which has been determined using the road surface properties; and - a vehicle resistance value, which has been determined using vehicle specifications of the motor vehicle (100); and - an environmental sensor (10) which is designed to determine the environmental conditions of the motor vehicle (100). [9] Test system (300) for checking vehicle resistance values ​​of motor vehicles (100) using a method according to one of claims 1 to 7, comprising at least the following components: - a computing device (30) which is set up to determine a driving resistance value and to compare whether the driving resistance value is within an expected driving resistance range, wherein comparing whether the driving resistance value is within an expected driving resistance range comprises the following: Determining the expected driving resistance range based on the following values, which influence the fuel consumption of the motor vehicle (100): - a road resistance value, which has been determined using the road surface properties; and - a vehicle resistance value, which has been determined using vehicle specifications of the motor vehicle (100); - a storage device (31) which is set up to store road properties and is in a data transmission link (TL) with the computing device (30); - at least one motor vehicle (100) equipped with a fuel consumption monitoring unit; and - at least one calibration section (200) to which road surface property values ​​can be assigned, furthermore, either at least one additional motor vehicle (100) of a consumption monitoring unit, at least one additional calibration track (200) and / or at least one calibration vehicle is included.

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