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filingDate 2016-10-20-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2018-10-16-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c112f149d080cb1fa9b2cbbaedf45600
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publicationDate 2018-10-16-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber US-10099679-B2
titleOfInvention Battery state and parameter estimation using a mixed sigma-point kalman filtering and recursive least squares technique
abstract A battery management system for an electrified powertrain of a hybrid vehicle includes one or more sensors configured to measure voltage, current, and temperature for a battery system of the hybrid vehicle and a controller. The controller is configured to obtain an equivalent circuit model for the battery system, determine a set of states for the battery system to be estimated, determine a set of parameters for the battery system to be estimated, receive, from the sensor(s), the measured voltage, current, and temperature for the battery system, using the equivalent circuit model and the measured voltage, current, and temperature of the battery system, estimate the sets of states and parameters for the battery system using a mixed sigma-point Kalman filtering (SPKF) and recursive least squares (RLS) technique, and using the sets of estimated states/parameters for the battery system, control an electric motor of the electrified vehicle.
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Total number of triples: 36.