Abstract: A battery charging apparatus includes a charging module and a control module. The control module obtains a DIR (dynamic internal resistance) of a battery cell group based on a voltage and a current of the battery cell group, and generates a control signal based on the voltage and the DIR of the battery cell group. The charging module alternates between outputting and not outputting a charge current/voltage to charge the battery cell group based on the control signal.

Abstract: A battery characteristic determining device includes a control module and a processing module. The control module outputs a control signal when a battery module is in a charging state and an SOC (state of charge) of the battery module reaches a predetermined target value, so as to result in change of a current of the battery module to a predetermined test value for a predetermined test time period. The predetermined test value is such that the change of the current causes a voltage of the battery module to decrease in the predetermined test time period. The processing module obtains a voltage variation of the battery module in the predetermined test time period, and a C rate of the battery module with reference to the voltage variation.

Abstract: A battery charging apparatus includes a charging module and a control module. The control module obtains a DIR (dynamic internal resistance) of a battery cell group based on a voltage and a current of the battery cell group, and generates a control signal based on the voltage and the DIR of the battery cell group. The charging module alternates between outputting and not outputting a charge current/voltage to charge the battery cell group based on the control signal.

Abstract: A method and a system for estimating the State of Health (SOH) of a battery set are disclosed. The method utilizes a discrete quantization algorithm to estimate the SOH of the battery set, wherein the voltage standard deviations are calculated according to the loop voltages of the battery cells, and comparing the rated discharge capacity with the voltage standard deviations for estimating the SOH of the battery set.

Abstract: A battery characteristic determining device includes a control module and a processing module. The control module outputs a control signal when a battery module is in a charging state and an SOC (state of charge; of the battery module reaches a predetermined target value, so as to result in change of a current of the battery module to a predetermined test value for a predetermined test time period. The predetermined test value is such that the change of the current causes a voltage of the battery module to decrease in the predetermined test time period. The processing module obtains a voltage variation of the battery module in the predetermined test time period, and a C rate of the battery module with reference to the voltage variation.

Abstract: An energy management device includes an energy transfer unit, and a control unit that generates a control signal based at least on a residual electric quantity of each of high power and high energy storage devices of a vehicle, whether the energy transfer unit is coupled to an external energy source, and a position of the vehicle. The energy transfer unit performs, based on the control signal, energy transfer among the external energy source, the high power and high energy storage devices, and at least one energy load of the vehicle.

Abstract: An energy management device includes an energy transfer unit, and a control unit that generates a control signal based at least on a residual electric quantity of each of high power and high energy storage devices of a vehicle, whether the energy transfer unit is coupled to an external energy source, and a position of the vehicle. The energy transfer unit performs, based on the control signal, energy transfer among the external energy source, the high power and high energy storage devices, and at least one energy load of the vehicle.

Abstract: A method and a system for estimating the State of Health (SOH) of a battery set are disclosed. The method utilizes a discrete quantization algorithm to estimate the SOH of the battery set, wherein the voltage standard deviations are calculated according to the loop voltages of the battery cells, and comparing the rated discharge capacity with the voltage standard deviations for estimating the SOH of the battery set.

Abstract: A self-learning regenerative braking control module is adapted for use with a vehicle, and includes a driving mode determining unit, an analyzing unit, and a regenerative braking determining unit. The driving mode determining unit determines a driving mode according to an accelerator signal, a brake signal, and a speed signal from the vehicle and outputs a coasting duration and coasting information associated with the driving mode to the analyzing unit for obtaining acceleration information. The regenerative braking determining unit obtains target regenerative braking data containing target vehicle speeds that vary with time based upon the acceleration information and regenerative braking reference data stored therein.

Abstract: A self-learning regenerative braking control module is adapted for use with a vehicle, and includes a driving mode determining unit, an analyzing unit, and a regenerative braking determining unit. The driving mode determining unit determines a driving mode according to an accelerator signal, a brake signal, and a speed signal from the vehicle and outputs a coasting duration and coasting information associated with the driving mode to the analyzing unit for obtaining acceleration information. The regenerative braking determining unit obtains target regenerative braking data containing target vehicle speeds that vary with time based upon the acceleration information and regenerative braking reference data stored therein.