A method for controlling a tone of an electric vehicle (EV) based on motor vibration may include: calculating an order component from a vibration signal of an EV motor of an electric vehicle, extracting a first order component with the greatest linearity for motor output torque among the calculated order component, then calculating an order frequency by transforming revolutions per minute (RPM) of the EV motor into frequency, setting an EV mode tone by applying a vibration level of the first order component to a level of the order frequency to be output and rearranging the order component, and outputting the set EV mode tone, and may apply an LMS filter algorithm, FFT/IFFT transforms, and an order tracking algorithm in extracting the first order component.

A method for controlling a tone of an electric vehicle (EV) based on motor vibration may include: calculating an order component from a vibration signal of an EV motor of an electric vehicle, extracting a first order component with the greatest linearity for motor output torque among the calculated order component, then calculating an order frequency by transforming revolutions per minute (RPM) of the EV motor into frequency, setting an EV mode tone by applying a vibration level of the first order component to a level of the order frequency to be output and rearranging the order component, and outputting the set EV mode tone, and may apply an LMS filter algorithm, FFT/IFFT transforms, and an order tracking algorithm in extracting the first order component.

In a control device of an electric vehicle including a motor, driving wheels, a shifting device that is operated by a driver and selectively sets one of two shift positions of a traveling position that generates driving force by transmitting output torque of the motor to the driving wheels, and a non-traveling position that does not generate driving force without transmitting the output torque to the driving wheels, a controller causes the motor to output signal torque that enables the driver to sense a change in a vehicle behavior accompanied with switching of the shift position when the driver switches the shift position.

Systems and methods are provided for dynamically selecting a control policy from among several available control policies for controlling an energy system having multiple controllable assets. The performance of the selected control policy is monitored and a different control policy may be deployed in its place if the different control policy has a higher chance of providing better performance given the current control environment. Thus, as the control environment changes, the control policy that controls the power system may also be changed in an adaptive manner. In this way, the control policies may be changed as the control environment changes to provide an improved real-time performance compared to the use of a single control policy.

Apparatus and method of producing a virtual after-burn effect using a controller in an electric vehicle, may include receiving, by the controller, vehicle driving information during vehicle driving, determining, by the controller, virtual variable information in an internal combustion engine on the basis of the input vehicle driving information, determining, by the controller, a virtual after-burn effect characteristic on the basis of the virtual variable information in an internal combustion engine, outputting, by the controller, a control signal for producing the virtual after-burn effect on the basis of the virtual after-born effect characteristic information, and controlling, by the controller, an operation of an effect-production apparatus configured for producing the virtual after-burn effect on the basis of the control signal.

A method for implementing virtual internal combustion engine vibration in an electric vehicle includes collecting operation variable information for determining a torque instruction and implementing the virtual internal combustion engine vibration, determining a virtual internal combustion engine vibration characteristic based on the collected operation variable information, determining a vibration torque instruction having the determined virtual internal combustion engine vibration characteristic, correcting the vibration torque instruction by correcting the determined virtual internal combustion engine vibration characteristic of the vibration torque instruction and/or a value of the vibration torque instruction, based on a basic motor torque instruction determined by the collected operation variable information and preset backlash occurring area information, determining a final motor torque instruction using the basic motor torque instruction and the corrected vibration torque instruction.

This invention concerns a sound and performance emulator (1) for an electric propulsion vehicle (100) with a first sensor (2) to emit a clutch signal (2a) relative to the position of a clutch (101) of the electric propulsion vehicle (100); a second sensor (3) to emit a gear signal (3a) relative to the position of a gear-switch (102) of the electric propulsion vehicle (100); a control unit (4) which receives an acceleration signal (5) relating to an accelerator position (103) of the electric propulsion vehicle (100); a vehicle speed signal (6) and/or an engine revolutions signal (7) relating to the engine revolutions (RpmExt) of the electric motor (104); the clutch signal (2a); and the gear signal (3a). The control unit (4) calculates a simulated engine revolutions value (RpmFinal) and a simulated gear inserted value (GearInserted) of a simulated endothermic combustion vehicle. The control unit (4) provides a requested simulated torque value and/or an output throttle signal (OutputThrottle) to be sent to the electric propulsion vehicle (100) to control it.

Systems and methods are provided for dynamically selecting a control policy from among several available control policies for controlling an electric vehicle fleet charging system. A control policy may take into account fluctuating local renewable generation and/or time of use electricity pricing. The performance of the selected control policy is monitored and a different control policy may be deployed in its place if the different control policy has a higher chance of providing better performance given the current control environment. Thus, as the control environment changes, the control policy that controls the power system may also be changed in an adaptive manner. In this way, the control policies may be changed as the control environment changes to provide an improved real-time performance compared to the use of a single control policy.

The operation of a mechatronic system with a power converter is advantageously and flexibly improved with regard to electromagnetic interference emission and acoustics. A regulation of the instantaneous switching frequency is proposed, with the natural variation of the switching frequency of the delta-sigma PWM in the cycle of the fundamental voltage being taken into account, which can achieve advantages in terms of EMC, acoustics and switching losses. The regulation of the instantaneous switching frequency in particular creates a possibility of generating a specific, calibratable noise with the underlying drive. It can be used to generate a brand-specific, recognizable noise of a vehicle and also to meet normative requirements for the acoustic perceptibility of purely electric vehicles (BEV).

Systems and methods are provided for dynamically selecting a control policy from among several available control policies for controlling an electric vehicle fleet charging system. A control policy may take into account fluctuating local renewable generation and/or time of use electricity pricing. The performance of the selected control policy is monitored and a different control policy may be deployed in its place if the different control policy has a higher chance of providing better performance given the current control environment. Thus, as the control environment changes, the control policy that controls the power system may also be changed in an adaptive manner. In this way, the control policies may be changed as the control environment changes to provide an improved real-time performance compared to the use of a single control policy.