73 results about "Shift schedule" patented technology

A method for shifting from a first gear ratio to a second gear ratio in a vehicle is provided. The method includes defining a variable shift schedule comprising at least two gear ratio change parameters. The gear ratio parameters are defined by a pair of engine variables relating to vehicle performance. The method also includes measuring the pair of engine variables to obtain values indicative of vehicle performance for the first gear ratio. The method further includes comparing the values to the two gear ratio change parameters to detect a variable shift condition known to require changing of the first gear ratio. The method also includes shifting from the first gear ratio to the second gear ratio when the variable shift condition is detected.

A vehicle driving force control apparatus is provided to prohibit a change in a shift schedule that will cause insufficient power generation of a generator that supplies power to an electric motor to drive a first drive wheel. The vehicle driving force control apparatus has a shift schedule change section, a power sufficiency determining section and a shift schedule change prohibit section. The shift schedule change section is configured to change a shift schedule of a transmission of the main drive source. The power sufficiency determining section is configured to determine whether generated power of the generator will be insufficient by a change in the shift schedule by the shift schedule change section, when an electromotive force of the generator is driving the electric motor that supplies torque to the first drive wheel. The shift schedule change prohibit section is configured to prohibit a change of the shift schedule by the shift schedule change section, upon the power sufficiency determining section determining that the generated power of the generator will be insufficient.

The invention relates to a GPS-based predictive shift schedule for an automatic transmission. A method for modifying a default transmission shift schedule for a vehicle includes monitoring current vehicle parameters and determining future roadway information at a predetermined distance in front of the vehicle. Future vehicle parameters are predicted based on the determined future roadway information. The default transmission shift schedule is modified based on the current vehicle parameters and the predicted future vehicle parameters.

The invention relates to a gear shifting method using economy shift schedule of a blade electric vehicle. According to the method, firstly the optimal economy shift schedule curve is made, and driving characteristic curves and efficiency relational graphs of a motor in 1 gear and 2 gear are made in the same graph; a horizontal line of constant driving force torque T0 is made in an overlapped area of the efficiency graphs in the 1 gear and the 2 gear; efficiency value curves, corresponding to different vehicle speeds in the 1 gear and the 2 gear, of traction T0 are made in a graph, and the intersection of the two curves is an ideal gear shifting point; opening degree values of an accelerator of upshift points and downshift points of the 1 gear and the 2 gear are calculated; the obtained upshift points and the downshift points are linked, so the optimal economy shift schedule can be obtained. Then the shift schedule curve is written in a TCU gear shifting control program. A TCU of the electric vehicle receives an accelerator opening degree signal and a vehicle speed signal of a driver in gear shifting, after judgment, when an ideal gear shifting point reaches, the TCU controls a gearbox gear shifting actuator, and thus gear-shifting motion is achieved.

A hybrid electric vehicle having a discrete ratio transmission shifts according to distinct shift schedules in various operating modes. For example, different shift schedules may be used for operating with the engine off, operating with the engine running, and regenerative braking. When the vehicle transitions from one mode to another, the new shift schedule may schedule a shift that the driver would not expect. To avoid annoying the driver, a control strategy inhibits the shift until either the old strategy would also schedule a shift or a customer event occurs.

The present invention provides a method of selecting an economy mode shift schedule for a transmission coupled to a motor vehicle. The method includes calculating vehicle acceleration and determining a change in accelerator pedal position. Also, a net tractive effort force of the vehicle is determined for a current gear range of the transmission. Also, the method includes comparing the net tractive effort force for the current gear range to a maximum tractive effort force for a desired gear range and selecting the economy mode shift schedule for the transmission based on the comparison. The method further includes controlling shifting between one or more gear ranges of the transmission according to the economy mode shift schedule.

A method for selecting a shift schedule for a transmission in a motor vehicle is provided. The method includes the steps of determining whether a signal-to-noise ratio exceeds a threshold and calculating a tractive effort of the motor vehicle. A vehicle mass and a road grade is then estimated from the tractive effort using a recursive least squares estimator with multiple forgetting when the signal-to-noise ratio exceeds the threshold. A vehicle mass is selected and the road grade estimated from the vehicle mass and tractive effort when the signal-to-noise ratio does not exceed the threshold. A shift schedule is then selected based on the vehicle mass and the estimated road grade.

The invention discloses a method for optimizing the gear-shift schedule of a vehicle based on a dynamic programming algorithm, and belongs to the technical field of automotive automatic transmissions.In order to optimize the vehicle gear-shift decision that satisfies fuel economy without losing dynamic property, the invention aims to propose a method for optimizing the gear-shift schedule of a vehicle based on a dynamic programming algorithm. The method of the invention includes the steps of establishing an engine fuel consumption characteristic map according to the measured data of an engine; importing a gear optimal sequence of various cyclic working conditions solved in the first step into an AMEsim vehicle simulation model that has been built; printing the corresponding throttle opening and vehicle speed obtained in the second step and the gear data solved in the first step under the three cyclic working conditions into the same figure by using the MATLAB; building a gear-shift logic control module on an MATLAB / SIMLINK platform; formulating an economy based gear-shift schedule and a dynamic property based gear-shift schedule respectively according to the same vehicle parameters in Table 1 in the second step; and finally, performing optimization to obtain a gear-shift schedule curve that satisfies both the dynamic property and the fuel economy. The invention has the characteristics of simple structure, easy implementation, and strong practicability.

An automatic transmission control system for an automobile, comprising a vehicle weight estimation unit which estimates a vehicle weight of the automobile a torque estimation unit which estimates an output torque, an acceleration input unit which accepts an acceleration signal; a load estimation unit (110) which estimates a running load from the estimated vehicle weight, the estimated output torque and the accepted acceleration; a memory which stores a plurality of shift schedules therein; and a gear position determination unit (109) which includes the memory, and which selects one of the shift schedules in accordance with the vehicle weight and the estimated running load, so as to determine a gear position of an automatic transmission of the automobile in conformity with the selected shift schedule. An exact shift operation conformed to the vehicle weight and the running load can be performed, and an enhanced fuel consumption can be attained.

The invention discloses a modeling method for the gear-shift schedule of an automatic transmission. The modeling method not only can be used for theoretical research to the automatic transmission, but also is more suitable for practical modeling for the gear-shift schedule of the automatic transmission. The modeling method comprises the following steps: 1, acquiring vehicle parameter variable data having influence on gears, and acquiring the opening degree of a throttle valve, the vehicle speed and the corresponding gear information of a vehicle under different driving operations; 2, carrying out data processing on parameter variable: classifying the acquired variable data, making a scatter diagram and eventually extracting boundary variable data points of all gears from the scatter diagram; 3, making a gear shift chart: sequentially making the gear shift chart and a gear-shift schedule MAP for gears relating to the opening degree of the throttle valve and the vehicle speed; 4, building a gear-shift schedule model: building the gear-shift schedule model and applying to the gear-shift schedule MAP. The modeling method provided by the invention solves the problems of complexity, poor real-time performance and speedability in the conventional modeling method for the gear-shift schedule.

The invention relates to a gear-shifting schedule curve measuring method and a corresponding gear-shifting control method for off-road vehicles, and belongs to the technical field of automatic variable speed control of the off-road vehicles. According to the methods, a gear-shifting schedule curve equation of an AMT (automated mechanical transmission) of an off-road vehicle is calculated firstly; a corresponding gear-shifting schedule curve is drawn; the current practical vehicle speed, the slip ratio and the throttle opening degree are collected, and corresponding target gears are determined; control signals for electromagnetic valves of actuating mechanisms are output through an logical operation; therefore, the electromagnetic valves of the actuating mechanisms are enabled to perform corresponding actions, and the automatic gear shifting is achieved. The gear-shifting schedule curve measuring method and the corresponding gear-shifting control method can guarantee the tractive efficiency and the fuel oil economic efficiency of the AMT of the off-road vehicles, reduces the work intensity of a driver, and enables the vehicles to travel more smoothly; meanwhile the gear-shifting actuating mechanisms are improved, a gear selecting process is omitted, the gear-shifting time is reduced and the gear-shifting efficiency is improved due to the direct gear shifting; and the methods can be used for AMT of off-road engineering vehicles, agricultural vehicles and military motor vehicles.

A system for selecting shift schedules of a transmission of a vehicle includes a controller configured to receive a signal indicative of acceleration of the vehicle prior to a change of a gear of the transmission. The controller is further configured to estimate tractive effort of the vehicle following the change of the gear of the transmission, the tractive effort estimation being based on at least an estimation of a road load on the vehicle. The controller is further configured to select between a first shift schedule and a second shift schedule based on the tractive effort estimation, wherein, if the tractive effort estimation is less than a threshold value, the controller selects the first shift schedule, and if the tractive effort estimation is at least equal to the threshold value, the controller selects the second shift schedule.

An automotive transmission transitions from a drive gear to a neutral gear when an engine is shutdown. During a rolling pull-up, a crankshaft of the engine will be spun up to a desired speed and the transmission will transition from the neutral gear to an appropriate gear based on a shift schedule. A target transmission input speed is commanded to be a synchronous speed plus an offset to smoothly transition out of electric axle drive propulsion.

The invention relates to the technical field of calibration and discloses a calibrating method and a calibrating system for an electric control unit of an automatic transmission. According to the calibrating method and the calibrating system disclosed by the invention, important parameters operated by the automatic transmission can be monitored in real time, important indexes of the automatic transmission including a shift schedule and a lock-up rule can be calibrated online and the development efficiency of an electric control system of the automatic transmission is increased.

The present invention provides a method of selecting and implementing a shift schedule for a transmission in a vehicle that includes an output speed sensor and a controller. The method includes measuring output speed with the output speed sensor and comparing the measured output speed to an output speed threshold. The controller receives throttle percentage and compares the throttle percentage to a throttle threshold. The method also includes calculating output acceleration and transmission gear ratio with the controller. The shift schedule is selected based on the measured output speed, calculated output acceleration, calculated transmission gear ratio, and throttle percentage.

A hybrid vehicle having an engine and motor in series with a step ratio automatic transmission shifts the transmission according to a first shift schedule based on driver demand and output speed or a second shift schedule based on efficient operating speeds of the engine and motor associated with the target gear ratio. A powertrain controller continually calculates engine and motor speeds and torques associated with target gear ratios for the second shift schedule to select a gear ratio based on operating efficiency. An arbitration strategy may compare a weighted target gear ratio from the first schedule shift schedule to a weighted target gear ratio from the second shift schedule to dynamically select a desired target gear for powertrain control management.

The invention provides a plug-in type hybrid electric vehicle energy management method based on TTR configuration. The method includes a power demand calculation link and a power distribution link. Inthe power demand calculation link, the whole vehicle demand torque is speculated according to the accelerator opening degree of a driver, and in the power distribution link, power distribution is finished in real time according to the whole vehicle demand torque. In the power distribution process, when an engine participates in drive, the relationship between the torque of the output end of the engine and the torque of the output end of a gearbox is determined according to a two-parameter shift schedule. In the two-parameter shift schedule, combined with a hybrid electric vehicle control characteristic, the demand power and the vehicle speed are selected as shift parameters. On the premise that the vehicle power performance demand is met, an energy management strategy guarantees that theengine works in a high-fuel-economical-efficiency region as much as possible and guarantees the stable working state, so that a good vehicle fuel economical efficiency target is achieved.

The invention includes a system and method for managing personnel and resources in a gaming establishment. An information processor that is operable to communicate over a communication network is provided to access a database. A user interface is provided via the information processor that includes an employee module, a shift-scheduling module, a pit defining module, a table defining module, and a game defining module. Further, a scheduling module is provided in the user interface that operates to assign a game to a respective area, is further operable to assign a table in a respective area, and yet is further operable to assign a shift to the game and is still further operable to assign an employee to the shift. The respective assignments occur as a function of the electronic game information, the electronic pit information, the electronic shift information and the electronic employee information, respectively. Further, the scheduling module is operable to reassign one of a different game, a different area, a different shift and a different employee in response to a user selection made in the user interface.

A novel software method of creating and maintaining a schedule of the activities to be performed by agents on behalf of a principal entity at least includes: a) creating a principal profile; b) identifying the principal's agents; c) defining jobs to be performed by the principal's agents, the jobs being at least partially defined by identifiable skills needed to perform the jobs; d) defining a scheduling period; e) defining job shifts related to the temporal performance of the jobs during a scheduling period; f) defining job criteria for matching particular agents to particular jobs; g) identifying the availability of the principal's agents for job shift performance; h) generating a job shift schedule based on elements b)-g); i) automatically modifying the job shift schedule according to predefined rules and interpreted rules postulated by software according to previous scheduling and scheduling approval iterations; j) determining a fitness value of a generated or modified schedule, based on adherence to predefined or interpreted rules; k) repeating elements i) and j) until no improvement in the fitness value is realized; l) via a principal's manager-agent, approving a job shift schedule; and m) publishing an approved job shift schedule for availability to the principal's agents and manager-agents. The method is hosted via the Internet, using an application service provider model.

A control system for a multiple-mode continuously variable transmission is described as having a ball planetary variator operably coupled to multiple-mode gearing. The control system has a transmission control module configured to receive a plurality of electronic input signals, and to determine a mode of operation from a plurality of control ranges based at least in part on the plurality of electronic input signals. In some embodiments, the system also has a ratio schedule module configured to store at least one shift schedule map, and configured to determine a desired speed ratio of the variator based at least in part on the mode of operation; a variator control module configured to receive the desired speed ratio and configured to determine an actuator setpoint signal based at least in part on the mode of operation; and a torque reversal module.

The invention discloses a driving intention identifying method suitable for multi-performance comprehensive optimization of a gear shift schedule, and belongs to the technical field of step type automatic transmissions of cars. The driving intention identifying method comprises the following steps of: adopting a dynamic property and economical efficiency expectation fuzzy inferer to perform quantization on dynamic property and economical efficiency expectation of a driver separately, and determining emission performance expectation on this basis; respectively determining input parameters and output parameters of the fuzzy inferer according to the construction of the dynamic property and economical efficiency expectation fuzzy inferer, and determining subordinate functions of the input parameters and the output parameters; and finally, establishing a dynamic property and economical efficiency fuzzy inference rule base, and taking each performance expectation quantized value as a weighting coefficient to construct a gear shift performance comprehensive evaluative function which is used as a gear shift rule multi-performance index comprehensive optimization target function. On the basis of reflecting the driving intention of the driver, the driving intention identifying method enables dynamic property, economical efficiency and emission comprehensive performance of a whole vehicle to be optimal, and also enables automatic gear shift to be more personalized, so that the defect of simply sorting driving intentions in the prior art is made up.

The invention discloses a mobile interconnection-based part-timer performance management system. The system comprises an APP client, an analysis module, a database and a system management platform, wherein the APP client is connected with the analysis module through a mobile network, and sends registration and job-seeking information to the analysis module; the system management platform sends recruitment information, management information and attendance check information to the database; the database sends the recruitment information, the management information and the attendance check information in the database to the APP client through a TCP / IP; and the APP client comprises an anchor recruitment management module, an anchor talent pool and recruitment module, a supervisor shift scheduling management module, a part-time salary management module and a performance attendance check management module. According to the system, the recruitment information can be released to a network platform through the APP client, and the attendance check, shift scheduling and salary division of anchors can be managed.

A method of optimizing shift schedule of a stepped automatic transmission of an electric vehicle comprises: constructing an integrated evaluation function for electric vehicle multi-performance integrated optimal shift schedule; with the integrated evaluation function as an optimization target, and basic conditions of vehicle driving and speed range corresponding to a motor high-efficiency area as constraints, using optimization algorithm to calculate multi-performance integrated optimal shift schedule for the electric vehicle stepped automatic transmission; by using the shift schedule for the electric vehicle stepped automatic transmission formulated by the method, it is possible to ensure optimal vehicle power and optimal ecological integrated performance indexes at the premise of allowing the vehicle to reflect a driver's shifting intention.

In order to suitably change the driving feel of a hybrid vehicle depending on the preference of the driver, the hybrid vehicle includes a driving mode control section that, when a first shift schedule is selected, executes the first shift schedule by performing control such that the driving time by the electric motor becomes longer than the driving time by the engine, and that, when a second shift schedule is selected, executes the second shift schedule by performing control such that the driving time by the engine does not become shorter than the driving time by the electric motor.

A drive axle system (10) and a method for adapting a shift schedule of a drive axle system (10) based on an input is provided. The drive axle system (10) comprises a first shaft (18), a first axle assembly (14), a second axle assembly (16), a clutching device (28), a controller (55), and a plurality of sensors (75). The plurality of sensors (75) are in communication with the controller (55) for sensing at least one of an environmental condition and at least one operating condition the drive axle system (10). Based on the information from the plurality of sensors (75) the controller (55) selects one of a plurality of shift schedules and places the clutching device (28) in one of a first position and a second position.

The invention discloses an intelligent scheduling method and device and a computer storage medium, and the method comprises the following steps: executing polling calculation based on a preset condition, carrying out the scheduling of a locking order, and generating a locking order scheduling result; after scheduling of the locking order is completed, updating residual theoretical capacities of all production lines; constructing a mathematical production scheduling model based on a preset constraint, scheduling the non-locking order, and generating a non-locking order production scheduling result; and generating a first scheduling plan based on the locking order scheduling result and the non-locking order scheduling result. According to the method, under the condition of meeting service rule constraints such as different order types and priorities and production line productivity, multiple service indexes including the overall delivery time satisfaction rate, the production line load balance rate and the production line production operation efficiency are comprehensively considered, and the executable production line shift schedule can be dynamically calculated and output in real time; and the service purpose of real-time and accurate intelligent production scheduling is achieved.