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Path classification and estimation method and system used in combination with a computer and memory for prognosticating the remaining useful life of an in-service battery asset by classifying a present degradation path of the in-service battery asset as belonging to one or more of previously collect

Path classification and estimation method and system used in combination with a computer and memory for prognosticating the remaining useful life of an in-service battery asset by classifying a present degradation path of the in-service battery asset as belonging to one or more of previously collected degradation paths of one or more exemplary battery assets and using the resulting classifications to estimate the remaining useful life of the in-service battery asset thereby transforming raw data inputs into actionable state-of-health outputs.

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1. A computer-implemented method for estimating a remaining useful life of an observed battery asset, comprising the steps of: obtaining exemplar degradation data from at least one exemplar battery asset;transforming the exemplar degradation data into functional approximations to obtain a plurality

1. A computer-implemented method for estimating a remaining useful life of an observed battery asset, comprising the steps of: obtaining exemplar degradation data from at least one exemplar battery asset;transforming the exemplar degradation data into functional approximations to obtain a plurality of exemplar degradation paths;acquiring observed battery asset degradation data from an observed battery asset;transforming the observed battery asset degradation data into a functional approximation to obtain an observed battery asset degradation path;classifying the observed battery asset degradation data by determining a plurality of similarities each quantifying a degree of similarity of the observed battery asset degradation path to at least one of the plurality of exemplar degradation paths; andestimating, with a computer, a remaining useful life of the observed battery asset using the determined plurality of similarities each quantifying the degree of similarity of the observed battery asset degradation path to at least one of the plurality of exemplar degradation paths. 2. The computer-implemented method of claim 1 wherein the exemplar degradation paths are exemplar battery discharge voltage paths. 3. The computer-implemented method of claim 2 wherein the acquired observed battery degradation data is observed discharge voltage data and the observed battery asset degradation path is an observed battery discharge voltage path. 4. The computer-implemented method of claim 3 wherein the estimated remaining useful life is a time for which the observed battery asset can be used for an observed charge. 5. The computer-implemented method of claim 1 wherein the exemplar degradation paths are exemplar battery output amps paths. 6. The computer-implemented method of claim 5 wherein the acquired observed battery degradation data is observed output amps data and the observed battery asset degradation path is an acquired output amps path. 7. The computer-implemented method of claim 6 wherein the estimated remaining useful life is a number of charge/discharge cycles for which the observed battery asset can be used before being replaced. 8. A battery asset surveillance system for estimating a remaining useful life of an observed battery asset, said system comprising: means for obtaining exemplar degradation data from at least one exemplar battery asset;means for transforming the exemplar degradation data into functional approximations to obtain a plurality of exemplar degradation paths;means for acquiring observed battery asset degradation data from an observed battery asset;means for transforming the observed battery asset degradation data into a functional approximation to obtain an observed battery asset degradation path;means for classifying the observed battery asset degradation data by determining a plurality of similarities each quantifying a degree of similarity of the observed battery asset degradation path to at least one of the plurality of exemplar degradation paths; andmeans for estimating a remaining useful life of the observed battery asset using the determined plurality of similarities each quantifying the degree of similarity of the observed battery asset degradation path to at least one of the plurality of exemplar degradation paths. 9. The system of claim 8 wherein the exemplar degradation paths are exemplar battery discharge voltage paths. 10. The system of claim 9 wherein the acquired observed battery degradation data is observed discharge voltage data and the observed battery asset degradation path is an observed battery discharge voltage path. 11. The system of claim 10 wherein the estimated remaining useful life is a time for which the observed battery asset can be used for an observed charge. 12. The system of claim 8 wherein the exemplar degradation paths are exemplar battery output amps paths. 13. The system of claim 12 wherein the acquired observed battery degradation data is observed output amps data and the observed battery asset degradation path is an acquired output amps path. 14. The system of claim 13 wherein the estimated remaining useful life is a number of charge/discharge cycles for which the observed battery asset can be used before being replaced. 15. A non-transitory computer-readable medium having computer executable instructions for performing a method for estimating a remaining useful life of an observed battery asset, the method comprising the steps of: obtaining exemplar degradation data from at least one exemplar battery asset;transforming the exemplar degradation data into functional approximations to obtain a plurality of exemplar degradation paths;acquiring observed battery asset degradation data from an observed battery asset;transforming the observed battery asset degradation data into a functional approximation to obtain an observed battery asset degradation path;classifying the observed battery asset degradation data by determining a plurality of similarities each quantifying a degree of similarity of the observed battery asset degradation path to at least one of the plurality of exemplar degradation paths; andestimating a remaining useful life of the observed battery asset using the determined plurality of similarities each quantifying the degree of similarity of the observed battery asset degradation path to at least one of the plurality of exemplar degradation paths. 16. The non-transitory computer-readable medium of claim 15 wherein the exemplar degradation paths are exemplar battery discharge voltage paths. 17. The non-transitory computer-readable medium of claim 16 wherein the acquired observed battery degradation data is observed discharge voltage data and the observed battery asset degradation path is an observed battery discharge voltage path. 18. The non-transitory computer-readable medium of claim 17 wherein the estimated remaining useful life is a time for which the observed battery asset can be used for an observed charge. 19. The non-transitory computer-readable medium of claim 15 wherein the exemplar degradation paths are exemplar battery output amps paths. 20. The non-transitory computer-readable medium of claim 19 wherein the acquired observed battery degradation data is observed output amps data and the observed battery asset degradation path is an acquired output amps path. 21. The non-transitory computer-readable medium of claim 20 wherein the estimated remaining useful life is a number of charge/discharge cycles for which the observed battery asset can be used before being replaced. 22. A computer-implemented method for estimating a remaining useful life of an observed battery asset, comprising the steps of: obtaining exemplar degradation data from at least one exemplar battery asset;approximating the exemplar degradation data using at least one mathematical function to obtain a plurality of exemplar degradation path functions;acquiring observed battery asset degradation data from an observed battery asset;approximating the observed battery asset degradation data using at least one mathematical function to obtain an observed battery asset degradation path function;determining a plurality of similarities each quantifying a degree of similarity of the observed battery asset degradation path function to at least one of the plurality of exemplar degradation path functions; andestimating, with a computer, a remaining useful life of the observed battery asset using the determined plurality of similarities each quantifying the degree of similarity of the observed battery asset degradation path function to at least one of the plurality of exemplar degradation path functions. 23. A battery asset surveillance system for estimating a remaining useful life of an observed battery asset, said system comprising: means for obtaining exemplar degradation data from at least one exemplar battery asset;means for approximating the exemplar degradation data using at least one mathematical function to obtain a plurality of exemplar degradation path functions;means for acquiring observed battery asset degradation data from an observed battery asset;means for approximating the observed battery asset degradation data using at least one mathematical function to obtain an observed battery asset degradation path function;means for determining a plurality of similarities each quantifying a degree of similarity of the observed battery asset degradation path function to at least one of the plurality of exemplar degradation path functions; andmeans for estimating a remaining useful life of the observed battery asset using the determined plurality of similarities each quantifying the degree of similarity of the observed battery asset degradation path function to at least one of the plurality of exemplar degradation path functions. 24. A non-transitory computer-readable medium having computer executable instructions for performing a method for estimating a remaining useful life of an observed battery asset, the method comprising the steps of: obtaining exemplar degradation data from at least one exemplar battery asset;approximating the exemplar degradation data using at least one mathematical function to obtain a plurality of exemplar degradation path functions;acquiring observed battery asset degradation data from an observed battery asset;approximating the observed battery asset degradation data using at least one mathematical function to obtain an observed battery asset degradation path function;determining a plurality of similarities each quantifying a degree of similarity of the observed battery asset degradation path function to at least one of the plurality of exemplar degradation path functions; andestimating a remaining useful life of the observed battery asset using the determined plurality of similarities each quantifying the degree of similarity of the observed battery asset degradation path function to at least one of the plurality of exemplar degradation path functions.