Hybrid or fully electric vehicle comprising: a conventional braking system based on friction bodies to brake the motor vehicle by interaction of the friction bodies in response to the operation of a brake pedal or any other equivalent control member, a reversible electric machine operatively coupled to the wheels of the vehicle and electronically controllable to operate selectively as an electric engine to generate a mechanical power to propel to the vehicle and as an electric generator to convert the kinetic energy of the motor vehicle into electrical energy, and an automotive electronic control system comprising a sensory system to measure automotive quantities, and an electronic control unit to control operation of the conventional braking system and of the electric machine in response to the operation of the brake pedal or any other operationally equivalent control member. The electronic control unit is further configured to control operation of: the electric machine to selectively perform one or more functions including regenerative braking, in which the electric machine is operated as an electric generator to recover the kinetic energy of the motor vehicle during braking and convert it into electrical energy, and the conventional braking system to clean the friction bodies of the conventional braking system based on the number of brakings performed by the conventional braking system and counted starting from the start-up of the motor vehicle.

The invention concerns a method for operating a brake back-up system (8) of a motor vehicle (2), with the steps: (S100) Reading in operating data (BD) of the motor vehicle (2), (S200) Evaluating the read-in operating data (BD) to identify malfunctions of a braking system of the motor vehicle (2), and (S300) Providing at least one actuation signal (AS, AS′) to influence components of a drive train of the motor vehicle (2).

System and methods are provided for implementing friction circle safety controls in a vehicle, such as an autonomous vehicle. A system can apply a friction circle analysis during the vehicle's operation, in order to perform a safety-based evaluation of maneuvers that impact the dynamic relationship between a vehicle's tires and a road surface. The system also establishes a link between the vehicle's lateral controls (e.g., steering wheel) and the vehicle's longitudinal controls (e.g., brake and throttle pedals), such that a frictional force of the tires against the road's surface, does not does not exceed a traction limit (e.g., limit of a tire's grip on the road surface) for the particular vehicle. For example, friction circle safety controls can automatically provide feedback and/or automatic driving actions to adjust a relationship between the steering wheel and brake/throttle pedals of the vehicle to maintain operation of the vehicle within the friction circle.

A system for regulating the speed of a vehicle includes defining a first border for a first geographic region. The border has a first speed within the border and a second speed outside of the border. The system includes determining a first velocity of the vehicle including a vehicle speed and direction of the vehicle approaching the border. The difference between the vehicle speed and the second speed is the calculated, as is a distance between the vehicle and the border. If the difference between the vehicle speed and the second speed divided by the distance is greater than a predetermined value, the vehicle is decelerated at a rate so that the vehicle will have a second speed when the vehicle reaches the border.

A method and system are provided for controlling braking a vehicle in an autonomous driving mode. For instance, the vehicle is controlled in the autonomous driving mode according to a first braking control mode using a first model to adjust the position of a vehicle relative to an expected position of a current trajectory of the vehicle. Using a second model how close to a maximum deviation threshold the vehicle would come if a maximum braking strength for the vehicle was applied is predicted. The maximum deviation threshold provides an allowed forward deviation from the current trajectory. Based on the prediction, the vehicle is controlled in the autonomous driving mode according to a second braking control mode by automatically applying the maximum braking strength.

A driving support apparatus includes a feedback control system. The feedback control system calculates each operation amount of a brake actuator and a drive actuator so as to match an actual value of a control amount indicating a motion state of the vehicle to a target value. The target value of the control amount is set so as to stop the vehicle to a target stop position. The driving support apparatus sets, when remaining distance from a current position of the vehicle to the target stop position is first distance, a feedback gain of the feedback control system to large value, as compared with the feedback gain set when the remaining distance is second distance which is greater than the first distance.

An automated method of controlling a speed of a vehicle includes identifying parameters of a driving instance of the vehicle; identifying a predetermined profile that is applicable to the driving instance based on the identified parameters; identifying a predetermined speed policy applicable to the driving instance based on the identified profile; and implementing the identified speed policy during the driving instance. The method may be repeated during the driving instance, whereby the speed policy that is implemented is automatically updated when one or more changes in the identified parameters cause a different predetermined speed policy to be identified. Parameter may include driver parameters (e.g., driver age and driver experience); vehicle parameters (e.g., vehicle age, mileage, and tire wear) tire maintenance information); behavior parameters (e.g., speed, acceleration, hard braking of the vehicle, following distance, swerving, and cornering); and circumstance parameters (e.g., time of day, road information, inclement weather, and traffic congestion).

A roadmanship system comprises a computational device and a vehicle comprising a plurality of sensors and a vehicle control system in communication with the computational device and the plurality of sensors. The computational device can be configured to: (i) receive driving data from a group of vehicles; (ii) calculate a regression curve based on the driving data; (iii) calculate a threshold value of an engineering parameter based on the regression curve and a predetermined roadmanship level; and (iv) output the threshold value to the vehicle control system. The vehicle control system can be configured to: (a) receive the threshold value from the computational device; (b) receive operational information associated with at least one of the vehicle and a driving environment surrounding the vehicle from the plurality of sensors; and (c) cause the vehicle to perform a vehicle maneuver based on the threshold value and the operational information.

A vehicle control system includes a detector and a processor. The detector is configured to detect a first stop line on the basis of map data stored in a road map database, and detect a second stop line on the basis of traveling environment data acquired by a camera unit. In a case where the detector detects the first stop line, the processor is configured to control a vehicle to decelerate at a first deceleration rate calculated on the basis of a distance from the vehicle to the first stop line. In a case where the detector detects the second stop line after detecting the first stop line, the processor is configured to control the vehicle to decelerate at a second deceleration rate calculated on the basis of a distance from the vehicle to the second stop line and stop at the second stop line.

A device and a method for controlling autonomous driving control a speed of an autonomous vehicle before downhill travel. The device and method calculate a travel resistance of an autonomous vehicle on a travel-intended-route, including a downhill route, a main braking pressure required to travel at a constant speed, and a brake temperature based on braking. The device and method determine whether to reduce the main braking pressure based on the calculated brake temperature and calculates a decreased amount of the main braking pressure and an increased amount of a speed of the autonomous vehicle based on the decreased amount of the main braking pressure on the travel-intended-route when determining to reduce the main braking pressure. The device and method limit a maximum speed of the autonomous vehicle before entering the travel-intended-route based on the increased speed amount.