Gm Global Technolgoy Operations, Inc.

Daniel R Baker

Mark William Verbrugge

Brian James Koch

Gary R McLuen

Charles W Wampler, Ii

Xingcheng Xiao

Benjamin J Remington

Patrick Frost

Patricia M Laskowsky

Charles Weldon Wampler, Ii

Gregory C Stalcup

Fergus Coakley

Forrest Seitz

Stevan Wittenbrock

Christopher J Jensen

Gary R Mcluen

Joseph N Logan

A bone fusion method, system and device for insertion between bones that are to be fused together in order to replace degenerated discs and/or bones, for example, the vertebrae of a spinal column. The bone fusion device includes a body and an extendable plate. The bone fusion device is able to be inserted between or replace the vertebrae by using a minimally invasive procedure wherein the dimensions and/or other characteristics of the bone fusion device are selectable based on the type of minimally invasive procedure.

Bone fusion device, system and method

An electrical system includes a battery pack, sensors, and a controller. The sensors configured output measured state signals indicative of an actual state of the battery back, including a respective actual voltage, current, and temperature of each of the multiple battery cells. The controller executes a method to generate, responsive to the measured state signals, an estimated state of the multiple battery cells using a respective open-circuit voltage and low-frequency transient voltage of each of the multiple battery cells. The controller estimates the low-frequency transient voltages using a porous electrode transient (PET) model as part of a model set, the PET model having open-circuit voltage elements representing uneven charge distribution within a cell electrode. State of charge (SOC) of the battery pack is estimated using the estimated voltages. An operating state of the electrical system is controlled in real-time responsive to the estimated SOC.

Battery state estimation using electrode transient model

A method for determining a state of charge (SOC) of a rechargeable battery cell includes determining a rate-invariant charge/discharge relationship between an open-circuit voltage (OCV) and a state of charge (SOC). This includes a first finite-rate voltage scan following a reduction branch of a relationship between OCV and the SOC, and executing a second finite-rate voltage scan following an oxidation branch of a relationship between OCV and the SOC. A rate-dependent charge/discharge relationship between the OCV and the SOC is determined during scanned voltage transitions between the reduction and oxidation branches. A present SOC state is determined based upon an electrical potential, the rate-invariant charge/discharge relationship between the OCV and the SOC, and the rate-dependent charge/discharge relationship between the OCV and the SOC during a voltage-scan reversal that occurs when the scanned voltage transitions between the reduction and oxidation branches.

Method and apparatus for evaluating battery cells containing materials that exhibit voltage hysteresis

Disclosed are battery management systems with control logic for battery state estimation (BSE), methods for making/using/assembling a battery cell with a reference electrode, and electric drive vehicles equipped with a traction battery pack and BSE capabilities. In an example, a battery cell assembly includes a battery housing with an electrolyte composition stored within the battery housing. The electrolyte composition transports ions between working electrodes. A first working (anode) electrode is attached to the battery housing in electrochemical contact with the electrolyte composition. Likewise, a second working (cathode) electrode is attached to the battery housing in electrochemical contact with the electrolyte composition. A reference electrode is interposed between the first and second working electrodes, placed in electrochemical contact with the electrolyte composition. The reference electrode and one or both working electrodes cooperate to output a half-cell voltage signal that is indicative of a battery state of the battery cell assembly.

Battery state estimation control logic and architectures for electric storage systems

A number of variations include a method, which may include using at least a segment of voltage-based Battery State Estimation data, and using real-time linear regression, which may be a method of estimating future behavior of a system based on current and previous data points, to provide a robust and fast-adapting impedance response approximator. Linear regression may be performed by forming an RC circuit which is 'equivalent' to electrochemical impedance spectroscopy data and processing the runtime values of that RC circuit using any number of known real-time linear regression algorithms including, but not limited, to a weighted recursive least squares (WRLS), Kalman filter or other means.

State of charge estimator and methods of making and using the same

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Romeo, MI, United States of America

Daniel R Baker