B60W2710/0666

Vehicle control device
11485352 · 2022-11-01 · ·

A vehicle control device controls a hybrid vehicle including: an internal combustion engine having an EGR device; an electric drive device that drives the vehicle and performs an engine-based power generation; a power storage device; and a travel route acquisition device. The vehicle include an EV drive mode and an HV drive mode. The vehicle control device is configured to: where the vehicle is started under a cold condition, calculate, based on the travel route information, an average vehicle driving power in a vehicle running section under a warm condition after the start; and limit the amount of power generated by the engine-based power generation in the cold condition to be smaller when the calculated average vehicle driving power is high than when it is low, and, during the HV drive mode after a transition to the warm condition, execute the engine-based power generation accompanied by the EGR.

Drive force control system for vehicle

A drive force control system for a vehicle configured to change a torque to propel a vehicle certainly in a required amount by controlling output torques of an engine and a motor. A controller is configured to: calculate a required amount of change in synthesized torque of an engine torque and a motor torque; calculate a required amount of change in the engine torque and a required amount of change in the motor torque based on the required amount of change in the synthesized torque; select one of the engine and the motor whose torque will be changed further than a limit value; and adjust the torque of the selected prime mover by a counter torque.

Method of Reducing Cold Start Emissions in Hybrid Electric Vehicles
20220348186 · 2022-11-03 ·

A method of reducing cold start emissions in a series mode hybrid electric vehicle, including an internal combustion engine with an exhaust duct having a catalyst and a downstream oxygen sensor, an output of the combustion engine being connected to an electric generator with a power output of at least 10 kW that is connected to an electric motor which is coupled to a drive shaft of two or more wheels. The method includes detecting a cold start condition, injecting fuel into the engine such that combustion at a lambda value, λ, is achieved for which λ>1, running the engine at a speed of 1000 rpm or higher, determining if the efficiency of the catalyst reaches a first level, setting λ to about 1 after the predetermined efficiency level of the catalyst has been reached, and reducing the speed to working conditions when the catalyst efficiency reaches a second level.

VEHICLE MOTION CONTROLLER

A vehicle motion controller includes a feedback controlling unit that executes feedback control in which a difference between a target acceleration corresponding to a request value from a driver assistance device and an actual acceleration of a vehicle is an input, thereby calculating a control amount used to reduce the difference, a request outputting unit that calculates a request longitudinal force based on the control amount, the request longitudinal force controlling an actuator, and an obtaining unit that obtains, as availability, a range of a longitudinal force capable of being generated by the actuator, the availability being a controllable range of the longitudinal force. The feedback controlling unit prohibits the control amount from decreasing when the request longitudinal force is less than a minimum value in the availability.

VEHICLE CONTROLLER AND VEHICLE CONTROL METHOD

A travel controller executes a first correction process on a request value when the vehicle is traveling on an uphill road, and executes a second correction process on the request value when the vehicle is traveling on a downhill road. The first correction process corrects the request value such that the traveling speed is higher than that in a case in which the first correction process is not executed. The second correction process corrects the request value such that the traveling speed is lower than that in a case in which the second correction process is not executed. If hard braking of the vehicle is requested during execution of the first correction process, the travel controller sets a correction amount of the request value to a lower value than that in a case in which hard braking of the vehicle is not requested.

AUTOMATED DYNAMIC THROTTLE REQUEST FILTERING

Dynamic throttle pedal filtering of a vehicle is provided. An automated throttle filtering system may be included in the vehicle that may operate to filter throttle pedal input based on detection of a rough driving surface. The rough driving surface detection may be based on an evaluation of wheel speed signals or an indication of traction loss. The throttle pedal input may be filtered corresponding to rough driving surface magnitude values determined based on the wheel speed signals. For example, filtered torque demand values may be determined based on the rough driving surface magnitude values and included in a torque demand request communicated to the vehicle's powertrain system. The resulting torque output may modulate an undesirable oscillating torque demand that may be generated in relation to operation of the vehicle on a rough driving surface.

POWER DRIVE SYSTEM FOR HYBRID POWER VEHICLE
20220340121 · 2022-10-27 ·

Provided is a power drive system for a hybrid power vehicle, including an engine, a hybrid power module, and a dual input shaft speed change mechanism, wherein the hybrid power module consists of a motor, a composite planetary gear mechanism, a clutch, and a brake; the composite planetary gear mechanism is provided with at least four rotating shafts which are respectively connected to a rotor of the motor, a power output shaft of the engine, and a first input shaft and a second input shaft of the dual input shaft speed change mechanism; the brake is disposed on the power output shaft of the engine; and the clutch is disposed between any two of the four rotating shafts of the composite planetary gear mechanism.

VEHICLE SYSTEM FOR ADAPTIVE ENERGY CONSUMPTION PREDICTION

A vehicle includes one or more transceivers configured to communicate with a server; and a controller programmed to responsive to detecting an extra load to the vehicle, obtain a first candidate energy consumption rate corresponding to the extra load from the server, calculate an estimated energy consumption rate using the first candidate energy consumption rate, and calculate a distance to empty using the estimated energy consumption rate.

Powertrain system

In a powertrain system including a first torque device and a second torque device having a larger response delay, a control device is configured to act as: a manipulated variable determination section that solves a linear programming problem to determine and output manipulated variables that maximally achieve target state quantities within a plurality of constraints; and a torque device control section. The plurality of constraints include, as upper and lower limit constraint values of the second manipulated variable, a maximum value and a minimum value of the second manipulated variable attainable at the next time step. The control device is further configured to act as a manipulated variable upper and lower limit calculation section that calculates, as the upper and lower limit constraint values, the above-described maximum value and the minimum value, based on the current rotational speed and estimated manipulated variable of the second torque device.

Method for operating a vehicle with a hybrid drive train

The operation of a hybrid powertrain system is optimized with respect to a desired state-of-charge trajectory, taking account of the estimated anticipated vehicle drive power. The hybrid powertrain system has an internal combustion engine and an electrically operated torque machine. The internal combustion engine and the torque machine are controlled by a control device and are connected to an output element via a hybrid transmission. Before the start of the prediction period Δt, an experience-based state-of-charge trajectory for the anticipated route, covering at least the prediction period Δt, is retrieved from an external database. The desired state-of-charge trajectory is established based on the experience-based state-of-charge trajectory by modifying it with at least one optimization constraint. The experience-based state-of-charge trajectory can be established based on operating data from hybrid powertrain systems of multiple vehicles and/or from operating data from multiple comparable journeys with the same vehicle.