179 results about "Powertrain control" patented technology

A powertrain control selects engine operating points in accordance with power loss minimization controls. Power loss contributions come from a variety of sources including engine power losses. Engine power losses are determined in accordance with engine operating metrics such as power production per unit fuel consumption and power production per unit emission production. Engine power losses are combined in accordance with assigned weighting into a single engine power loss term for use in the power loss minimization control and operating point selection.

A system and method for controlling a vehicle powertrain having an internal combustion engine include determining a difference between a desired engine torque and a current engine torque, adjusting the difference based on a stored torque offset corresponding to a current engine speed, and controlling the engine to produce a torque corresponding to the adjusted torque difference. The stored torque offset is adjusted when the engine is operating in a predetermined engine speed range based on a steady-state difference between the desired and current engine torque to reduce the steady-state difference to zero. The adjusted torque difference may be limited by a maximum-engine-torque-available parameter and a minimum-engine-torque-available parameter, which is based on an operating temperature, such as the engine coolant temperature. The system and method may also include controlling spark to rapidly reduce current engine torque to the adjusted torque difference value.

Presented are intelligent vehicle systems and control logic for predictive charge planning and powertrain control of electric-drive vehicles, methods for manufacturing / operating such systems, and electric-drive vehicles with smart charge planning and powertrain control capabilities. Systems and methods of AI-based predictive charge planning for smart electric vehicles use machine-learning (ML) driver models that draws on available traffic, location, and roadway map information to estimate vehicle speed and propulsion torque requirements to derive a total energy consumption for a given trip. Systems and methods of AI-based predictive powertrain control for smart hybrid vehicles use ML driver models with deep learning techniques to derive a drive cycle profile defined by a preview route with available traffic, geopositional, geospatial, and map data. ML-generated driver models are developed with collected data to replicate driver behavior and predict the drive cycle profile, including predicted vehicle speed, propulsion torque, and accelerator / brake pedal positions for a preview route.

A vehicle powertrain control system including an electric motor drive system, a first battery coupled to the electric motor drive system, an electronically controlled switched coupled to the first battery, a second battery coupled to the electronically controlled switch, and where the electronically controlled switch applies power from the second battery to supplement the first battery.

A method for controlling a powertrain of a hybrid vehicle having an engine, a motor / generator, a battery that is rechargeable using at least one of the engine and the motor / generator, and a powertrain control module (PCM) includes determining a current location of the vehicle as a starting point of a preferred route, recording a user-selected ending point of the preferred route, and processing route information using the PCM to thereby determine an optimally fuel efficient route for reaching the ending point. The method includes automatically executing the powertrain control strategy over the optimally fuel efficient route by substantially depleting a charge level of the battery as the vehicle travels over the optimally fuel efficient route such that the charge level of the battery is depleted when the vehicle reaches the ending point. When the ending point is not recorded, the PCM can default to a charge-sustaining mode.

The technology described herein provides a powertrain system with a route-learning feature. Particularly, learned information is used to optimize powertrain operation along any learned route. The learned information comprises, generally, feedback from the vehicle's acceleration and brake sensors and information from an on-board trip computer. At the least, the powertrain is able to optimize its operation to a driver's preference based on the feedback recorded along a particular route that the driver has specified. The route-learning powertrain control described herein is particularly useful with a hybrid powertrain, and can be used to optimize start / stop and regenerative braking control. The system described herein can also be integrated with a navigation system and GPS receiver, to provide more accurate route-learning and / or automated operation.

A vehicle powertrain control system including an electric motor drive system, a first battery coupled to the electric motor drive system, an electronically controlled switched coupled to the first battery, a second battery coupled to the electronically controlled switch, and where the electronically controlled switch applies power from the second battery to supplement the first battery.

A powertrain control system for management and supervision of engine and servo-assisted gearbox control modules is arranged for determining the power to be applied to the drive wheels of the vehicle as a function of signals indicative of commands imparted by the driver, of the engine and gearbox state parameters and of possible requirements from the engine and gearbox control modules and supplementary on board vehicle traction / drive control systems; calculating data indicative of the torque to be delivered at the engine drive shaft, the torque transmissible by the clutch and the required transmission ratio, as a function of the determined value of the power to be applied to the drive wheels, of the state parameters and of the requirements of the engine and gearbox control modules and the traction / drive control systems; and transmitting the calculated data as signals to the engine and gearbox control modules.

The invention discloses an intelligent control method for a power assembly of a hybrid electric vehicle, and belongs to the technical field of hybrid electric vehicles. The intelligent control method for the power assembly of the hybrid electric vehicle comprises the steps that 1, information is obtained, particularly the hybrid electric vehicle is started, an ECU of each intelligent body in an intelligent control system of the power assembly is initialized electrically, and an engine intelligent body, a motor intelligent body, a storage battery intelligent body and a speed changer intelligent body obtain the respective real-time state information; 2, the information is interacted and a preliminary decision is made, particularly the information of the intelligent bodies is interacted and the preliminary decision is made according to the preset values of the ECUs of the intelligent bodies; 3, the system coordinates a task, particularly task decomposition is carried out on the optimal running mode, adapting to the current working condition of the vehicle, of the power assembly according to a multi-dimensional look-up table or a control strategy of fuzzy reasoning; 4, the task is carried out, particularly the control strategy of the running assembly intelligent bodies amends sub-tasks and controls respective executing mechanisms to be coordinated to finish the control task of the power assembly. The emission performance is improved while the dynamic property and the fuel economy of the vehicle are improved.

A powertrain control selects engine operating points in accordance with power loss minimization controls. Power loss contributions come from a variety of sources including engine power losses. Engine power losses are determined in accordance with engine operating metrics such as power production per unit fuel consumption and power production per unit emission production. Engine power losses are combined in accordance with assigned weighting into a single engine power loss term for use in the power loss minimization control and operating point selection.

A powertrain control system is provided that includes an engine having multiple cylinders. A controller selectively activates the cylinders to provide a cylinder combination having a desired power displacement. In one example powertrain control system, the controller selectively activates the cylinders between a V-8 and V-4 mode. An exhaust system having a valve and an electrical actuator selectively electrically actuates the valve in response to the controller between multiple positions. The electrical actuator moves the valve from an open position in V-8 mode to a partially closed position in V-4 mode to increase back pressure and reduce NVH issues in V-4 mode. A muffler includes a housing having an exhaust passage. The valve is supported by the housing and arranged in the exhaust passage. The valve is moveable between multiple positions for tuning the muffler. The electrical actuator is supported by the housing to actuate the valve between the multiple positions.