Apparatus for predicting state of health of battery pack by using discrete wavelet transform
OwnerJong-Hoon Kiminventor
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Abstract
A method of predicting a state of health (SOH) of a battery pack is provided. The method includes: obtaining at least one of charging voltage data or discharging voltage data for each of a plurality of selected cells of the battery pack; wavelet transforming the at least one of charging voltage data or discharging voltage data to obtain low frequency component voltage data and high frequency component voltage data; calculating respective standard deviations of at least two from among the at least one of charging voltage data or discharging voltage data, the low frequency component voltage data, and the high frequency component voltage data; and predicting the SOH of the battery pack based on the calculated standard deviations.
Claims19
A method of predicting a state of health (SOH) of a battery pack, the method comprising:
- obtaining at least one of charging voltage data or discharging voltage data for each of a plurality of selected cells of the battery pack;
- wavelet transforming the at least one of charging voltage data or discharging voltage data to obtain low frequency component voltage data and high frequency component voltage data;
- calculating respective standard deviations of at least two from among
- the at least one of charging voltage data or discharging voltage data,
- the low frequency component voltage data, and
- the high frequency component voltage data;
- and
- predicting the SOH of the battery pack based on the calculated standard deviations.
A state of health (SOH) prediction apparatus configured to predict an SOH of a battery pack coupled to the SOH prediction apparatus, the SOH prediction apparatus comprising:
- a voltage detection unit configured to generate at least one of charging voltage data or discharging voltage data for each of a plurality of selected cells of the battery pack collected over a period of time;
- a discrete wavelet transform (DWT) unit configured to extract low frequency component voltage data and high frequency component voltage data by performing multi-resolution analysis of the DWT for the at least one of charging voltage data or discharging voltage data;
- a first statistics processing unit configured to generate respective first order standard deviations of at least two from among
- the at least one of charging voltage data or discharging voltage data,
- the low frequency component voltage data, and
- the high frequency component voltage data;
- a second statistics processing unit configured to generate respective second order standard deviations from the generated first order standard deviations;
- and
- an SOH prediction unit configured to predict the SOH of the battery pack from the generated second order standard deviations.
Dependencies are inferred from the claim text.