3362 results about "Commercial vehicle" patented technology

The invention discloses a vehicle idling start and stop control system and method. The control system judges whether a vehicle has idling start and stop conditions by monitoring the water temperatureof an engine, the capacity of a storage battery, a safety belt and other information, judges whether the vehicle has conditions of stopping the engine by monitoring the rotating speed of the engine, the speed of the vehicle, the brake air pressure and other conditions, and judges whether the vehicle has conditions of starting the engine by monitoring the gear of a gearbox, the speed of the vehicle, a hand brake and other information. When the relevant conditions are met, start and stop work signals are sent to the engine though a CAN bus. In order to guarantee the reliability of frequent startand stop of the engine, the system strengthens flywheel gear rings of a starter and the engine. In order to ensure that the battery does not lose power, a storage battery capacity sensor is added tothe system on the basis of increasing the capacity of the storage battery, and the idling start and stop are allowed when the state of charge (SOC) of the storage battery satisfies a safe starting threshold. The idling start and stop control system has advantages of low cost and high reliability, and is especially suitable for commercial vehicles.

The invention discloses a method and a system for predicting and monitoring frame fatigue based on twinning of the Internet of Vehicles. The method comprises the following steps: analyzing a vehicle use scene and a working condition ratio based on historical data of the Internet of Vehicles; carrying out a frame real vehicle load test, and converting a strain-time history into a load-time history in combination with static loading calibration; performing weighted combination on each load history according to a working condition ratio to obtain a weighted composite load-time history; reconstructing a stress-time history of each measuring point based on finite element analysis, and constructing a stress cyclic spectrum by adopting a rain flow counting method; calculating the fatigue life of the frame by combining a stress-life method and a Miner linear damage criterion; and constructing a frame twinborn model corresponding to the real vehicle at the cloud, accessing vehicle operation data in real time, dynamically updating a stress process and fatigue damage, calculating the residual fatigue life, and triggering early warning when the life is lower than a threshold value. The method can achieve the precise evaluation and online monitoring of the fatigue life of the vehicle frame, and is suitable for the durability design and structural health management of new energy commercial vehicles.

The invention discloses a new energy commercial vehicle fast charging working condition thermal management control method and system, and relates to the technical field of new energy vehicle thermal management and fast charging control, and the method comprises the following steps: collecting the temperature, voltage and current data of each subarea of a battery in a fast charging process, forming a time synchronization sequence, and based on the sequence, obtaining a new energy commercial vehicle fast charging condition; calculating internal thermal resistance and thermal capacity parameters of the battery in real time by using an online identification algorithm, updating a basic thermal model to obtain a corrected thermal dynamic model reflecting actual thermal characteristics of the current battery, importing the corrected model into a model prediction controller, constructing a multi-objective optimization function, and performing rolling solution in a prediction time domain to obtain a prediction model; and outputting an optimal target charging current instruction and a cooling total demand, adjusting the charging power according to the target current, and combining the temperature difference distribution of each partition. Accurate prediction and partition cooperative control of the thermal state of the battery in the fast charging process are achieved, the temperature rise and the temperature difference are effectively restrained while the charging efficiency is guaranteed, the service life of the battery is prolonged, and the system safety is improved.

The invention discloses a detection system for operation abnormity of an electric drive axle motor of a new energy commercial vehicle, and belongs to the technical field of motor abnormity detection. The system comprises a multi-source sensing module, a dynamic coupling analysis module, a harmonic distortion traceability module, a dynamic stability analysis module, an anomaly fusion decision module, a self-adaptive threshold generation module and a fault tree reasoning module. Multi-dimensional signals such as current, vibration, temperature and a rotor position angle are synchronously acquired through the multi-source sensing module, and multi-physics field collaborative analysis is performed through the dynamic coupling analysis module and the harmonic distortion traceability module, so that the fault diagnosis accuracy of operation abnormity of the electric drive axle motor of the new energy commercial vehicle is improved; the problem that in the prior art, detection only depends on a single physical quantity, and misjudgment or missing detection is easily caused by interference is solved.

The invention discloses a hybrid power AMT gear shifting control method and system, and relates to the technical field of vehicle gear shifting. The method comprises the steps that whether a transmission meets gear shifting conditions or not is judged according to driving information; determining a target gear value according to the current vehicle state; the power source output torque is gradually reduced according to the target gear value; gear picking operation is carried out through an actuator; adjusting the rotating speed of the motor according to the rotating speed difference of the actuator; controlling the transmission to engage a gear according to the target gear value; and gradually restoring the power source output torque according to the target torque value. According to the technical scheme, high-precision control over the rotating speed of the motor of the commercial vehicle can be achieved, the gear shifting success rate of the hybrid power AMT system can be effectively increased, and high application value is achieved.

The invention discloses a light passenger car chassis steering stability self-adaptive control method, which comprises the following steps of: collecting multi-dimensional working condition parameters in real time, and covering 12 types of key parameters such as a steering wheel rotating angle and a wheel speed; after preprocessing and abnormity diagnosis, double models are adopted to estimate the dynamic state of the vehicle in parallel; dynamically setting a control target, and realizing personalized control in combination with driver style recognition; the control quantity is optimized through multi-mode strategy dynamic switching and steering and braking system cooperative control; and actuator dynamic compensation, scenarized self-learning and multi-stage fault handling mechanisms are introduced. According to the method, the complex working condition adaptability is improved, the response speed is controlled, the subsystem cooperation efficiency is improved, the system robustness and the long-term use performance are enhanced, and the driving safety of the light bus is effectively guaranteed.

The invention relates to a commercial vehicle integrated brake control and sensor system. The system comprises a multi-source sensor module used for acquiring sensor signals of operation of the commercial vehicle brake control system. The feature extraction module carries out filtering processing on sensor signals and extracts key feature parameters to construct a feature parameter matrix. In the braking decision execution module, a front and rear axle control unit calculates a front and rear axle braking force distribution coefficient based on the characteristic parameter matrix and generates an intelligent braking instruction; and the braking execution unit dynamically adjusts single-wheel braking force distribution according to the intelligent braking instruction to obtain braking execution parameters. And the evaluation optimization module judges the stability of the braking system according to the braking execution parameters and the operation real-time feedback data, and adjusts the braking force distribution parameters of each wheel to generate an optimized braking control strategy. By adopting the system, the multi-source data fusion precision, the dynamic adaptability of braking force distribution and the communication stability under complex working conditions in the braking process of the commercial vehicle can be improved, and the safety and reliability of the braking system are enhanced.

The invention discloses a multi-modal data driven commercial vehicle frame performance prediction method and system. The method comprises the following steps: uniformly coding design variables of a frame; constructing a multi-modal performance response data set based on finite element simulation and test results of mass production vehicle models, and realizing fusion of simulation and test data by adopting a maximum mean difference and related alignment algorithm; constructing a graph perception Transform multi-task prediction model fusing the structure topology and the physical position features, and predicting key performance indexes of the frame under a plurality of typical working conditions; through weighted multi-task loss function joint training, an uncertainty mechanism is introduced to dynamically adjust task weights; and after training is completed, deploying to an inference engine to realize second-level prediction and support increment fine adjustment updating. According to the method, repeated modeling and solving processes are avoided, the frame performance prediction efficiency and the adaptive capacity are remarkably improved, and the method is suitable for rapid evaluation of the frame performance of commercial vehicles of various structural configurations and material types.

The invention provides an HIL simulation test system of a commercial vehicle domain controller. The system comprises an HIL system software platform, an HIL system simulation model, an HIL system simulation hardware platform and a vehicle body system special simulation assembly which are electrically connected. The HIL system simulation hardware platform is used for providing hardware support and executing the hardware-in-the-loop simulation test; the HIL system software platform is used for controlling a simulation test process, managing a test task and automatically generating an interface model; the HIL system simulation model is used for constructing a virtual test environment of a controller and performing signal interaction with the HIL system simulation hardware platform; the simulation assembly special for the vehicle body system is used for simulating vehicle body control, air conditioner control, gateway and vehicle control functions so as to improve the test coverage degree, and efficient development and iteration of a commercial vehicle domain controller are facilitated.

The invention relates to a heavy-duty commercial vehicle train hybrid energy management equivalent factor adaptive method, which comprises the steps of classifying operation conditions based on cloud historical data of the operation conditions, and calculating an optimal equivalent factor under each operation condition in an off-line manner by utilizing simulation software after classification is completed; selecting a working condition updating period taking mileage as a reference, identifying the working condition according to the characteristic parameters in the period, and obtaining a corresponding optimal equivalent factor as a reference equivalent factor of the next control period; the equivalent factors are adjusted in real time based on the whole vehicle state parameters; adjusting equivalent factors considering terrain prediction according to the difference between the allowable maximum SOC before downhill and the current SOC in combination with front terrain prediction; corresponding control instructions are sent to the motor and the engine; periodically updating the reference equivalent factor to realize continuous loop iteration of the optimal equivalent factor; and the fuel economy of the whole vehicle is improved.

The invention discloses a commercial vehicle team cruise control method and system, computer equipment and a storage medium, and relates to the technical field of automatic driving and vehicle infrastructure cooperative control, and the method comprises the steps: carrying out the vehicle role interaction of a team vehicle according to a cooperative relation and a vehicle role interaction logic; establishing a surrounding environment potential field model, and describing an interaction relationship between vehicles inside and outside the motorcade; calculating the longitudinal and transverse potential fields of the vehicles of the fleet, and controlling the distance between the vehicles and the safe distance; a model prediction controller for team cruise is constructed by considering the target speed and the environmental influence; and the safety, speed and control constraints of vehicle movement are set, and the driving performance is optimized. The stability of formation control is enhanced, the formation requirements of complex scenes are met, the real-time dynamic control capability is improved, and the formation energy efficiency is optimized.

A system for warning drivers of the movements semi-tractor and trailer vehicles of the semi-tractor's intended course, and warning drivers of other vehicles around the semi-tractor of the course and intended movement of the semi-tractor. An example includes a closed circuit video display system including cameras mounted at the front corners of the semi-tractor, cameras mounted at the rear of the trailer, and cameras mounted from a central area of the semi-tractor trailer. The system also uses a written message display system having display modules that display messages to vehicles near the semi-tractor. The displays can be used to present various pre-programmed messages or messages created by the driver of the semi-tractor through a message input interface, allowing the driver of the semi-tractor to provide customized massages to other nearby drivers.

The invention provides a fatigue driving early warning processing system and method applied to a commercial vehicle, and relates to the technical field of vehicle fatigue driving early warning. The system comprises a data acquisition device, a data processing device, a fatigue detection device and an early warning processing device, the devices are in data connection and are connected with a vehicle control unit of the commercial vehicle; the data acquisition device is used for acquiring vehicle driving behavior data and user data; the data processing device is used for preprocessing the behavior data and self data to obtain to-be-matched data; the fatigue detection device is used for performing fatigue detection processing according to the to-be-matched data, pre-stored reference data, a preset matching condition and a pre-training deep learning model, and determining a driving state; the early warning processing device is used for executing early warning processing and generating an early warning signal when the driving state is a fatigue state. The vehicle driving behavior data and the user data are fused to judge the driving state, the defect of a single data source is overcome, and the detection accuracy can be improved.

Described herein are methods and systems of a chassis of a commercial electric vehicle. In various embodiments, the chassis may include a ladder frame with a plurality of frame rails. Batteries and drive units may be packaged within the frame rails of the ladder frame. The chassis may further include an independent front suspension and batteries may be disposed between the suspension members of the independent front suspension.

The invention provides an electric drive axle assembly and a vehicle with the same, and relates to the technical field of vehicles. The electric drive axle assembly comprises a drive motor; the differential mechanism is connected with a vehicle wheel end through a half shaft; the first planetary gear train at least comprises a first sun gear and a first planetary gear, the first sun gear is connected with an output shaft of the driving motor, and the first planetary gear is arranged on a first planetary carrier; the second planetary gear train at least comprises a second sun gear and a second planetary gear, the second planetary gear is arranged on a second planetary carrier, and the output end of the second planetary carrier is connected with the differential mechanism; and the transmission gear system is connected with the first planetary gear system and the second planetary gear system, and the transmission gear system is used for transmitting power of any one of the first planet carrier and the first sun gear to any one of the second planet carrier and the second sun gear. The problems that an electric drive axle of a commercial vehicle is large in size and unreasonable in gear-speed ratio setting are solved.

The invention relates to the technical field of intelligent traffic and vehicle control, in particular to an intelligent networked commercial vehicle fleet collaborative lane changing system and an optimization method, and provides a control strategy for intelligent networked commercial vehicle fleet collaborative lane changing by combining a V2X technology with a distributed model predictive control (DMPC) algorithm. The method comprises the following steps: introducing a timing interval strategy in a V2X environment to realize real-time information interaction so as to dynamically adjust a vehicle interval, predicting a motorcade lane changing track by using a DMPC algorithm, and converting a track optimization problem into a linear quadratic programming solving problem through a quadratic programming method so as to obtain a motorcade lane changing track with an optimal control sequence, so that the aim of dynamically adjusting the vehicle interval is fulfilled. Therefore, cooperative control over lane changing of the motorcade is achieved, and the overall stability, safety and lane changing efficiency of the motorcade are improved.

The invention discloses a commercial vehicle driving control method considering a load non-uniform distribution characteristic. The method comprises the following steps: acquiring and preprocessing sensor data of a commercial vehicle; estimating yaw disturbance torque caused by uneven load distribution in real time; a robust model prediction controller based on yaw disturbance torque compensation is constructed, and multi-axis coordinated yaw torque meeting the driving stability requirement under the non-uniform load working condition is output; driving force optimization distribution is carried out, and target driving force of each electric wheel is determined; and designing a driving force synchronous tracking controller based on the tire relaxation characteristic model, and outputting the torque of each electric wheel to complete the driving stability control of the commercial vehicle. According to the method, the yaw disturbance torque observer and robust model predictive control are fused, and the disturbance yaw torque is estimated in real time and compensated in a feedforward mode, so that pertinence and fineness are better in the aspect of disturbance suppression; the auxiliary sliding mode control can further improve the robustness of the system in an unknown or rapidly changing external environment.

The invention relates to the technical field of target detection, and discloses a commercial vehicle tiny object detection method based on improved YOLO v9, and the method comprises the steps: inputting collected to-be-detected image data into a tiny target detection model, and achieving the correction of a vehicle driving function through an obtained target detection result. The model construction process comprises the steps that an initial tiny target detection model is constructed according to a YOLO v9 model, a composite backbone network and a detection head of the initial tiny target detection model are optimized, and the optimized composite backbone network is used for conducting multi-level feature mapping processing and cross-branch bidirectional feature fusion on a first multi-scale feature map; the optimized detection head is used for performing parallel multi-branch convolution, first feature fusion, lightweight attention and adaptive dynamic weighted fusion on the first multi-scale feature map in sequence; and training the optimized tiny target detection model to obtain the tiny target detection model. According to the method, the detection precision of the tiny object is improved.

The invention relates to a semi-supervised learning data anomaly intelligent identification and treatment system, which is applied to a hydrogen energy commercial vehicle, and comprises a data acquisition and preprocessing module, which is arranged on a vehicle-mounted terminal and is used for acquiring a hydrogen storage system signal, a hydrogen supply system signal, a fuel cell system signal and a whole vehicle system signal in real time, processing the acquired signal data; the semi-supervised anomaly recognition module is arranged on a cloud platform, is connected with the data acquisition and preprocessing module, and is used for fusing the processed signal data into a rule engine and semi-supervised learning, constructing a semi-supervised training data set, and performing deep auto-encoder model training through the data set so as to realize accurate anomaly recognition of few sample scene writing; and the exception treatment and feedback module is arranged at an edge node, is connected with the semi-supervised exception recognition module, carries out exception recognition through a trained model, carries out graded treatment according to the exception severity, and establishes a model evolution mechanism to realize continuous optimization of the system.

The invention relates to the technical field of vehicle dynamic parameter estimation, in particular to a vehicle mass real-time estimation method and system based on a composite weighting algorithm and embedded equipment. The method comprises the steps that the speed, acceleration and driving torque data in the vehicle running process are collected; calculating a mass estimation value of each data point through a preset dynamic model; a composite weighting algorithm is constructed by adopting a Gaussian weight method and an entropy method, the Gaussian weight method sets an expected value based on wagon balance data to carry out weight distribution, and the entropy method carries out objective weighting according to a data dispersion degree; carrying out fusion calculation on the two weighting results, and outputting a final quality estimation value; and wagon balance data are updated in real time through serial port communication, and algorithm parameters are dynamically optimized. The method is realized on an STM32 embedded platform, and can be effectively applied to commercial vehicle-mounted quality monitoring and intelligent logistics management systems.

The embodiment of the invention discloses a double-motor electric drive axle vehicle control method and system. The double-motor electric drive axle vehicle control method comprises the steps that accelerator pedal opening degree information, vehicle speed information, acceleration information, battery electric quantity information and load weight information are collected in real time; according to the accelerator pedal opening degree information, the vehicle speed information, the acceleration information, the battery electric quantity information and the load weight information and a pre-established multi-parameter complex working condition judgment model, the current working mode of the vehicle is determined; and according to the current working mode of the vehicle, the working state of at least one of the engine and the two motors is adjusted in real time. According to the control method, various working condition factors can be comprehensively considered, efficient operation of the double-motor electric drive axle vehicle in various modes is accurately controlled, the double-motor electric drive axle vehicle can be kept in the optimal working state in the whole scene, the power performance and the cruising ability of the vehicle are improved, energy consumption is reduced, and the service life of the vehicle is prolonged. And the requirements of the heavy-duty commercial vehicle in diversified application scenes such as logistics transportation and engineering operation are met.

The invention discloses a predictive cruise control method and device, a storage medium and a vehicle, and the method comprises the steps: obtaining the traffic environment information of a road where the vehicle is located, and carrying out the road reconstruction of the road according to the traffic environment information, and obtaining at least one road section; determining the driving feature classification of the target driver according to the driving feature data of the vehicle driven by the target driver; determining influence coefficients corresponding to different influence indexes in a cruise control algorithm based on driving feature classification; the minimum cost of a cruise control algorithm is determined based on the preset vehicle speed range, the gear range and the influence coefficients corresponding to the different influence indexes; and determining a target vehicle speed and a target gear of each road section based on the minimum cost, and performing predictive cruise control on the vehicle based on the target vehicle speed and the target gear. According to the method, predictive cruise control of the fuel oil heavy commercial vehicle in a high-speed scene can be achieved, and the purposes of reducing fuel oil consumption, relieving driving fatigue of a driver and improving driving experience are achieved.

A battery swapping method for a commercial vehicle, comprising the following steps: on the basis of the position of a power insufficiency battery on a battery swapping vehicle, controlling a battery swapping device to drive to the position below the battery swapping vehicle (S510); acquiring a posture of the power insufficiency battery on the battery swapping vehicle, and adjusting an operation position of the battery swapping device on the basis of the posture of the power insufficiency battery (S520); and controlling the battery swapping device to dismount the power insufficiency battery and install a fully-charged battery (S530). According to the battery swapping method, the battery swapping device is controlled to autonomously drive to the position below the battery swapping vehicle without lifting the battery swapping vehicle, and the operation position of the battery swapping device can be directly adjusted on the basis of the posture of the power insufficiency battery, so that the position matching between the battery swapping device and the power insufficiency battery can be achieved, thereby achieving high adjustment accuracy and improving the battery swapping efficiency. Moreover, there is no need to excavate a trench on the ground and lay tracks, such that the motion range of the battery swapping device is not limited.

The invention discloses a wireless relay method, system and equipment for commercial vehicle tire pressure monitoring and a medium, relates to the technical field of commercial vehicle tire pressure monitoring, and solves the problems of poor system adaptability and unreliable real-time alarm caused by the fact that existing commercial vehicle tire pressure monitoring needs trailer transformation and wireless transmission is easy to conflict. The method specifically comprises the steps that ACL connection is established between a tire pressure receiving node and a wireless relay node, and channel scheduling parameters and tire pressure sensor working parameters are issued to the wireless relay node; the wireless relay node sends a report request message to the tire pressure sensor on a specified channel according to a preset period; after each tire pressure sensor receives the message, reporting tire pressure monitoring data in the exclusive response time slot, and if the tire pressure sensor detects a tire burst early warning event, repeatedly reporting the tire pressure monitoring data in the tire burst reporting time slot; the wireless relay node packages the data and sends the data to a tire pressure receiving node for receiving and processing, and if it is judged that a tire burst early warning event exists, an alarm is given within 100 ms. The method is used for monitoring the tire pressure of the commercial vehicle.

The invention provides an engine active noise reduction method and system and a vehicle, and the method comprises the steps: S1, determining the noise weight of each noise reduction region based on the personnel distribution in each noise reduction region, and weighting the noise collection value in the corresponding noise region based on the noise weight to form weighted noise; and S2, inputting the weighted noise into a control filter, generating a sound wave signal for reducing the noise in the noise reduction area by the control filter, and transmitting the sound wave signal to each noise reduction area. According to the change of people in the noise reduction area in the vehicle, the noise reduction effects of different noise reduction areas are adjusted in a self-adaptive mode, the noise reduction effect of the noise reduction area where people exist is mainly improved, and the noise reduction effect is more intelligent; the method is suitable for various types of vehicles including cars, SUVs, commercial vehicles and the like, and has high universality and market adaptability.

A method of controlling a vehicle with a plurality of motion actuators comprises: determining a longitudinal inclination and speed of the vehicle; selecting an uphill drive mode if the longitudinal inclination is greater than an inclination threshold and the absolute speed is less than a speed threshold, and otherwise selecting a regular drive mode; obtaining motion requests; in accordance with the selected drive mode, providing a solution to an optimization problem related to optimal control of the motion actuators in accordance with the obtained motion requests; and controlling the motion actuators in accordance with the solution to the optimization problem. The optimization problem is dependent on a control effectiveness matrix which is defined differently in the uphill drive mode and the regular drive mode.

The invention discloses a 1300MPa-grade thick-specification hot stamping plate with excellent corrosion resistance and a manufacturing method of the 1300MPa-grade thick-specification hot stamping plate. The hot stamping plate comprises the following chemical components in percentage by mass: 0.12%-0.16% of C, 0.10%-0.30% of Si, 1.00%-1.50% of Mn, less than or equal to 0.015% of P, less than or equal to 0.004% of S, 0.02%-0.06% of Als, 0.02%-0.05% of Nb, 1.0%-2.50% of Cr, 0-0.30% of Cu, 0-0.30% of Ni, less than or equal to 0.005% of N and the balance of Fe and inevitable impurities. The tensile strength is larger than or equal to 1300 MPa, the yield strength is larger than or equal to 900 MPa, the ductility is 12%-20%, the impact energy at the temperature of-20 DEG C is larger than or equal to 70 J, the corrosion rate is smaller than or equal to 0.62 g / (m < 2 >. H), the requirements for the thick specification, good corrosion resistance and the remarkable lightweight effect needed by commercial vehicles are met, and very good application prospects are achieved.

The invention provides a commercial electric bus operation scheduling method and system under vehicle-network combination, and belongs to the field of electric bus resource optimization configuration, and the method comprises the steps: building a coupling network model of a power distribution network and a traffic network and a corresponding bus timetable; constructing an electric bus fleet optimization problem model and a constraint condition model in the coupling network of the power distribution network and the traffic network; obtaining electricity price, bus battery parameters and service income; and based on the bus operation time table, inputting the electricity price, the electric bus parameters and the service income information into the electric bus fleet optimization problem model, solving to obtain the optimized operation parameters of the electric bus fleet and the scheduling parameters of the power distribution network, and obtaining an electric bus scheduling scheme. And meanwhile, the flexibility of a power grid and the operation benefit of an electric bus commercial fleet are improved.

A mmWave radar sensor module is proposed, to have a specific structure enabling a 180° field of View (FoV) with an affordable system cost. The proposed mmWave radar sensor module is put to use in passenger vehicles, commercial vehicles, automated guided vehicles (AGVs), as well as motorcycles and bikes, enabling a variety of application features: smart parking assistance, replacing PDC sensors, determining the distance, speed and angle of targets, including their tracking, detection of people, tracking of people, tailgate and door protection by restricting opening, gesture and kick sensing, and other applications. In the case of two-wheelers and three-wheelers, the same apparatus may cover also blind sport detection application in the affordable system manner.

A method for controlling a vehicle train, having a towing vehicle and at least one trailer vehicle. The towing vehicle includes a continuous deceleration device for performing a continuous deceleration. The method includes the steps: determining a trailer mass of the trailer vehicle in the prevailing vehicle configuration of the vehicle train; determining a towing vehicle trailer mass of the towing vehicle in the prevailing vehicle configuration; determining a mass ratio of the prevailing vehicle configuration based on the trailer mass and the towing vehicle mass; and limiting a maximum permissible continuous deceleration power of the continuous deceleration device based on the mass ratio. A driver assistance system is configured to perform the method. A commercial vehicle includes the driver assistance system. A computer program product is configured to perform the method.