Ford Global Technolgoies, LLC

Nathan Kempema

David Bilby

Jacobus Hendrik Visser

David John Kubinski

Xiao Wu

Reinoud Felix Wolffenbuttel

Conner Sharpe

Mehrdad Shahabi

A system, such as an electrified vehicle, includes a battery, such as a traction battery. The controller controls the battery based on adaptive sampled electrochemical impedance spectroscopy (EIS) measurements of the battery. The controller may perform the adaptive sampled EIS measurements. The controller may use the adaptive sampled EIS measurements to identify values of parameters of a model, such as an equivalent circuit model (ECM), of the battery. The controller may use the model, with the identified values of the parameters, to detect an internal state of the battery whereby the controller detects the internal state of the battery based on the adaptive sampled EIS measurements.

Traction battery controller operable to control battery based on adaptive sampled electrochemical impedance spectroscopy battery measurements

A traction battery controller of an electrified vehicle controls the traction battery based in part on a value of a non-linear circuit element of a model of the traction battery in which the value of the non-linear circuit element is estimated in part on distribution of relaxation time (DRT) information of measured impedance data of the traction battery.

Traction battery controller operable to detect battery internal state using battery model based on comprehensive distribution of relaxation times information

Methods and systems are provided for a particulate matter sensor. In one example, the particulate matter sensor may include a light source, a waveguide aligned with the light source to receive incident light from the light source, and a photodetector positioned to receive light the incident light from the waveguide. The incident light may be reflected off a reflective surface of the waveguide more than one time to generate a plurality of evanescent waves. The plurality of evanescent waves may interact with particulate matter in exhaust gas, causing the incident light to be attenuated.

Method and systems for optically sensing particulate matter

Methods and systems are provided for a vehicle. In one example, a method may include acquiring measurements from at least one exhaust emission sensor of the vehicle, the exhaust emission sensor positioned to measure one of NO, NH, and Olevels in exhaust gas of the vehicle. The measurements may be input into a machine learning model trained to output a predicted real-time amount of at least one exhaust gas constituent in the exhaust gas and operations of an emissions aftertreatment system may be assessed and adjusted based on the predicted real-time amount of the at least one exhaust gas constituent.

System and methods for estimating emissions

A method for spectroscopically detecting a chemical in a gas sample includes illuminating the gas sample with ultraviolet light and photolyzing a first chemical in the gas sample to generate a photolyzed gas sample and spectroscopically detecting a second chemical in the photolyzed gas sample. The second chemical has an optical absorption range within a respective optical absorption range of the first chemical.

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Grosse Pointe Farms, MI, United States of America

Nathan Kempema