Continental Teves, Ag and Company Ohg

Peter Lauer

Thomas Raste

Andreas Köbe

Vladimir Koukes

Stefan Stölzl

Martin Griesser

Bernd Hartmann

Peter Säger

Alfred Eckert

Peter E Rieth

Frank Edling

Matthias Muntu

Maxim Arbitmann

Zhenfu Chen

Daniel Schmitz

Roger Bauer

Peter SÄGER

A method for determining road surface conditions in a system with at least one vehicle and a data processing device. The vehicle exchanges data with the data processing device wirelessly. The vehicle has at least one sensor for determining measured values describing a road surface friction coefficient, and a computing unit. The data processing device includes a database, containing a road map having a plurality of route sections. The method includes determining measured values for a route section by the sensor, determining a first friction coefficient for the route section by the vehicle's computing unit, sending a data record, containing measured values and/or the first determined friction coefficient and a piece of information identifying the route section, to the data processing device, determining an average friction coefficient for the route section, sending the average friction coefficient determined for the route section to the vehicle, and determining the road surface condition.

Method for determining road surface conditions

A braking system for a motor vehicle, including friction brakes on the wheels of at least one axle, the brakes controlled by a friction brake control device; at least one electric machine connected to at least one wheel and controlled by an electric drive control device; a brake pedal for detecting a deceleration request; a wheel-slip controlling device; and a torque distributing device. The devices for detecting a deceleration request are connected to the wheel-slip controlling device, the wheel-slip controlling device specifying target braking torques for each wheel according to the parameters of the deceleration request. The wheel-slip controlling device connected to a torque distributing device which is connected to the friction brake control device and the electric drive control device and which specifies friction brake requests to the friction brake control device and generator brake requests to the electric drive control device according to the target braking torques.

Slip-controlled braking system for electrically driven motor vehicles

The invention relates to a method for improving the driving stability of a motor vehicle in which driver-independent braking interventions are triggered if a critical driving situation is to be expected on the basis of route information and instantaneous position data of the motor vehicle, and to a corresponding system. According to the invention, the driver predefines, via a human/machine interface, information about the maximum coefficient of friction to be utilized, which is used as the basis for the prediction of a critical driving situation.

Method for improving the driving stability

A method and system for promoting a uniform driving style. A longitudinal speed of a motor vehicle and a route section curvature radius lying ahead of the vehicle are determined when the vehicle approaches the route section. An expected lateral acceleration is determined from the curvature radius and longitudinal speed as the route section is driven through. The lateral acceleration is compared with a permanently predefined lateral acceleration limiting value which can be predefined by the driver. In the event the expected lateral acceleration is greater than at least one of the lateral acceleration limiting values, the longitudinal speed is lowered by an optical, acoustic and/or haptic request to the driver and/or by autonomous braking intervention. If the expected lateral acceleration is smaller than or equal to the lower of the two lateral acceleration limiting values the lowering of the longitudinal speed is reduced by decreasing the engine drag torque.

Method and system for promoting a uniform driving style

The application relates to a device and a method for increasing the safety of a motor vehicle. A first sensor unit () senses the surroundings, in particular in order to detect free spaces and objects (), and the position and movement thereof. A second sensor unit () senses the state of the surroundings, a third sensor unit () senses the state of the vehicle, and a fourth sensor unit () senses the driver's commands. The data are merged and a driving safety coordinator () determines at least one reliable driving corridor (K, K, K, Kto Kn) predictively and situationally in order to determine the operational safety. The driver's command can be limited to the driving corridor (K, K, K, Kto Kn) by means of components () which can be actuated actively and/or the motor vehicle () can be kept in the driving corridor (K, K, K, Kto Kn) by means of the components () which can be actuated actively.

Safety device for motor vehicle and method for operating a motor vehicle

A driving dynamics control system for vehicles. The control system including at least one driving dynamics controller that is fed setpoint specifications and driving state variables as input data. The control system also includes a plurality of actuators that can be controlled and/or regulated to modify the dynamics of the vehicle, such as steering, adjustable independently of the driver, on a front and/or rear axle of the vehicle, a chassis adjustable independently of the driver, a brake adjustable independently of the driver, and a drive train adjustable independently of the driver. The driving dynamics controller determines a central control specification from the setpoint specifications and the driving state variables and sends it to a distribution algorithm that distributes the control specification into manipulated variables for driving the actuators.

Driving dynamics control system for vehicles

A method for determining an optimal steering angle in understeer situations of a vehicle is described. To assist a driver in reliably stabilizing the vehicle during an understeer situation while driving, a model-based driving traction coefficient factor, a model-based kinematic factor, and a float angle are taken into account in the determination of a steering angle. A limited steering angle &#x3b4;at which a maximum lateral force is set, is determined by addition of the driving traction coefficient factor, the kinematic factor, and the float angle. A system suitable for implementation of the method is also described.

Method and system for determining an optimal steering angle in understeer situations in a vehicle

An allocation method combines two tire pressure monitoring systems in motor vehicles being equipped with pressure measuring modules. Each pressure measuring module records a value responsive to the tire inflation pressure and sends the latter to a receiving unit connected to an evaluating device together with an individual identification code (IDx) allocated to the respective pressure measuring module. Signals about the rotational speed of each one wheel being sensed by wheel rotational speed sensors are transmitted to the evaluating device, and since the installation positions y of the wheels at the vehicle are known to the evaluating device, the wheels at the vehicle are known, and the allocation method is performed by taking into consideration established probability values W_IDx_y, with the probability values W_IDx_y describing a frequency distribution which indicates how often pressure measuring modules with the identification codes IDx are detected as pertaining to the installation positions y.

Allocation method for a combined tire pressure monitoring system in a motor vehicle

Disclosed is a tire pressure monitoring device for a motor vehicle. A tire pressure monitoring system with direct measurement includes a transmission device for transmitting tire pressure values determined by pressure sensors, and a tire pressure monitoring system with indirect measurement that operates on the basis of wheel speed sensors. The tire pressure monitoring system with direct measurement includes a tire pressure measuring device for measuring a tire pressure value only on each wheel of a driven vehicle axle and on at most one wheel of a non-driven axle. The tire pressure monitoring system with indirect measurement includes wheel speed sensors on the non-driven vehicle axle.

Device and method for monitoring tyre pressures

Disclosed is a method of monitoring tire pressure monitoring systems in a motor vehicle. The motor vehicle has a tire pressure monitoring system with indirect measurement which detects tire inflation pressure loss on the basis of wheel speed data, and a tire pressure monitoring system with direct measurement (TPMS) which detects tire inflation pressure loss from tire inflation pressure values measured directly by pressure modules on the vehicle tire. According to the method a warning relating to tire inflation pressure loss emitted by a pressure module of the tire pressure monitoring system with direct measurement (TPMS) is not transmitted to the driver until this tire inflation pressure loss is confirmed by the tire pressure monitoring system with indirect measurement or by all pressure modules that are still working in fail-free manner. Also disclosed is a computer program product.

Method for monitoring tyre pressure monitoring systems in a motor vehicle

The present device relates to a method for automatically determining the installation positions of wheels in a motor vehicle. The motor vehicle has a direct measure tire pressure monitoring system includes individual wheel tire pressure measuring devices and transmitting devices for the transfer of TPMS data containing tire air pressure values and identification numbers of the individual wheels to a receiving and evaluating device installed in or on the vehicle. The motor vehicle also includes an indirect measuring tire pressure monitoring system determining DDS data containing air pressure changes and installation positions from the rotational behavior of the individual wheels. The method includes determining correlation coefficients from the TPMS data and the DDS data by using a correlation function.

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Karben, Germany

Peter Lauer