Abstract: An electric power-assist bicycle and an electric energy management method for the electric power-assist bicycle are provided. The electric power-assist bicycle includes a crank, a motor, a battery module, and a computing circuit. The crank is applied with a pedaling force to provide a plurality of pedaling powers to the electric power-assist bicycle. The battery module provides a plurality of battery powers to the motor. The computing circuit obtains a plurality of total demand powers and a plurality of total demand current values of the electric power-assist bicycle and obtains a plurality of distribution ratios between the battery powers and the pedaling powers. The computing circuit establishes a target function according to the total demand powers, the total demand current values, and the distribution ratios. The computing circuit obtains a target total input power according to a current pedaling power and the target function.

Abstract: Disclosed is a hybrid power system including a computing core, a power converter, a driving motor, an engine generator, a charging stand, and a battery pack. The power converter is coupled to the computing core. The driving motor is coupled to the power converter. The engine generator is coupled to the power converter. The charging stand is coupled to the power converter. The battery pack is coupled to the power converter. When inputting a required torque to the computing core and switching to a charging mode, an electric energy source is coupled to the charging stand and provides power to the battery pack through the power converter. The computing core executes an optimal power allocation algorithm.

Abstract: Disclosed is a hybrid power transmission system including an engine, a power split device, a first electric machine, a second electric machine, a power controller, an energy storage module, and a wheel. The power split device is connected to the engine. The first electric machine is connected to the power split device. The second electric machine is connected to the power split device. The power controller is coupled to the first electric machine and the second electric machine. The energy storage module is coupled to the power controller. The wheel is connected to the second electric machine.

Abstract: A hybrid power system including a transmission module, a motor, an engine generator, an energy storage module, and an electrical energy distributor is disclosed. The motor is connected to the transmission module. The electrical energy distributor is coupled to the motor. The engine generator is coupled to the electrical energy distributor. The engine generator is adapted to rotate at a constant speed to generate a first power, and the first power is transmitted to the motor and the energy storage module by the electrical energy distributor.

Abstract: ultraviolet (UV) based imaging method for determining protein concentrations of unknown protein samples based on automated multi-wavelength calibration. In various embodiments, a processor receives each of a standard set of wavelength data and an unknown set of wavelength data as recorded by a detector. Each standard set of wavelength data and unknown set of wavelength data defines a series of absorbance-to-wavelength value pairs across a first range of wavelengths selected from a range of a single-wavelength light beams of a UV spectra. The processor generates a multi-wavelength calibration model based on each of a first series of first absorbance-to-wavelength value pairs of the standard set of wavelength data. The processor implements the multi-wavelength calibration model to determine, for each unknown protein sample of the given unknown protein samples, a plurality of protein concentration values.

Abstract: Disclosed is a hybrid power system including a computing core, a power converter, a driving motor, an engine generator, a charging stand, and a battery pack. The power converter is coupled to the computing core. The driving motor is coupled to the power converter. The engine generator is coupled to the power converter. The charging stand is coupled to the power converter. The battery pack is coupled to the power converter. When inputting a required torque to the computing core and switching to a charging mode, an electric energy source is coupled to the charging stand and provides power to the battery pack through the power converter. The computing core executes an optimal power allocation algorithm.

Abstract: A hybrid power system including a control core, a driving mechanism, an internal combustion engine, an electric motor, and a storage battery is provided. The driving mechanism is controlled by the control core. The internal combustion engine is connected to the driving mechanism and controlled by the control core. The electric motor is connected to the driving mechanism and controlled by the control core. The storage battery is coupled to the electric motor and the control core. In response to a required torque being input to the control core, the control core executes an equivalent consumption minimization strategy and actuates the internal combustion engine and/or the electric motor to transmit power to the driving mechanism.

Abstract: ultraviolet (UV) based imaging method for determining protein concentrations of unknown protein samples based on automated multi-wavelength calibration. In various embodiments, a processor receives each of a standard set of wavelength data and an unknown set of wavelength data as recorded by a detector. Each standard set of wavelength data and unknown set of wavelength data defines a series of absorbance-to-wavelength value pairs across a first range of wavelengths selected from a range of a single-wavelength light beams of a UV spectra. The processor generates a multi-wavelength calibration model based on each of a first series of first absorbance-to-wavelength value pairs of the standard set of wavelength data. The processor implements the multi-wavelength calibration model to determine, for each unknown protein sample of the given unknown protein samples, a plurality of protein concentration values.