Advanced battery early warning and monitoring system
First Claim
1. A processor-based method for monitoring and predicting battery faults, comprising the steps of:
- receiving a signal from a battery apparatus comprising AC impedance data;
processing the signal to form signature data, said signature data comprising diffusion coefficients from electrode materials of the battery apparatus relating to deconvoluted aspects of the AC impedance data;
processing the signature data to determine a predictive value representing a likelihood of a physical condition existing in the battery apparatus; and
transmitting a warning signal if the predictive value is at or above a predetermined value.
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Accused Products
Abstract
Systems, apparatuses and methods for detecting internal cell faults using online and real-time sensing techniques, and providing an accurate and reliable early warning for the incoming failure of battery cells hours or days prior to failure. A system is configured to perform real-time and direct measurement of battery cell parameters of temperature, voltage, and AC impedance through online sensing. These parameters may be simultaneously processed using advanced probabilistic and/or fuzzy logic-based algorithms to provide an early warning for the incoming failure of battery cells in a battery pack. This technology may safeguard the LIB battery packs while allowing them to operate at or near 100% capacity in both transportation and stationary applications.
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Citations
20 Claims
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1. A processor-based method for monitoring and predicting battery faults, comprising the steps of:
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receiving a signal from a battery apparatus comprising AC impedance data; processing the signal to form signature data, said signature data comprising diffusion coefficients from electrode materials of the battery apparatus relating to deconvoluted aspects of the AC impedance data; processing the signature data to determine a predictive value representing a likelihood of a physical condition existing in the battery apparatus; and transmitting a warning signal if the predictive value is at or above a predetermined value. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system for monitoring and predicting battery faults, comprising:
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an input for receiving a signal from a battery apparatus, said signal comprising AC impedance data; a processing apparatus operatively coupled to the input and configured to process the signal to form signature data, said signature data comprising diffusion coefficients from electrode materials of the battery apparatus relating to deconvoluted aspects of the AC impedance data, wherein the processing apparatus is configured to process the signature data to determine a predictive value representing a likelihood of a physical condition existing in the battery apparatus; and a communication operatively coupled to the processing apparatus for transmitting a warning signal if the predictive value is at or above a predetermined value. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification