Gm Global Technolgoy Operations, Inc.

Ryan B Moulliet

Sudhakar Inguva

Brian James Koch

Ciro A Spigno

Charles W Wampler, Ii

Azeem Sarwar

Jeffrey S Piasecki

Pablo Valencia, Jr

Wei Liu

Justin Bunnell

Xiangxing Lu

Leng Mao

John C Lyons

Ramesh Rebba

Andrew M Zettel

Andrew J Cornelli

Austen Bernardi

Margaux LeBlanc

Gus Hatoum

Ziad Shounia

Methods and systems are provided for monitoring a state of health (SOH) of a battery system of an electric vehicle (EV). A projected SOH value of the battery system at one of a future vehicle age and a future total EV mileage is generated. The projected SOH value is based in part on a current SOH value and historical SOH values associated with use of the battery system to supply power to at least one of an offboard vehicle load and an onboard accessory load. A determination is made regarding whether the projected SOH value is less than a SOH threshold at the one of the future vehicle age and the future total EV mileage. A customer SOH alert regarding use of the battery system to supply power to the at least one of the offboard vehicle load and the onboard accessory load is generated based on the determination.

Systems and methods for monitoring a state of health of a battery system of an electric vehicle

A charging system for an electric vehicle includes: a memory configured to store terminal clamp voltage (CV) and a cutoff current (CC) combination pairs; a charging receptacle configured to connect to an offboard charging station; and an onboard charging circuit. The onboard charging circuit includes: a high-voltage direct current bus connected to a rechargeable energy storage system; and a control module configured to communicate with the offboard charging station and determine charging capabilities of the offboard charging station and the onboard charging circuit, to select one of the CV and CC combination pairs based on the charging capabilities of the offboard charging station and the onboard charging circuit, and to initiate charging of the rechargeable energy storage system based on the selected one of the CV and CC combination pairs.

Real-time modification of charge termination voltage and current and associated controls for electric vehicles

System and method of controlling operation of a device having a rechargeable energy storage pack with a plurality of cells, based on propulsion loss assessment. A controller is configured to obtain a state of charge data and an open circuit voltage of the rechargeable energy storage pack. The controller is configured to obtain a state of charge disparity factor (dSOC) from a selected dataset. The state of charge disparity factor (dSOC) is defined as a difference between a minimum value of the state of charge and an average value of the state of charge of the plurality of cells. The controller is configured to control operation of the device based in part on the state of charge disparity factor (dSOC) and a plurality of parameters (P), including raising one or more of a plurality of flags each transmitting respective information to a user.

Controlling operation of device with rechargeable energy storage pack based on propulsion loss assessment

Methods for fast-charging battery packs having at least one lithium battery cell with an anode, a cathode, and a reference electrode (RE) comprise charging the battery in a first phase by maximizing charging current, subsequently charging the battery in a second phase by decreasing the charging current in response to an anode potential (AP) determined by a RE to maintain the AP at or above an AP threshold, and subsequently charging the battery in a third phase by decreasing the charging current in response to the cathode potential (CP) determined by the RE such that the CP is maximized without exceeding the cathode potential threshold. A controller can determine anode potential or cathode potential in real time using a cell potential signal and a cathode RE signal or an anode RE signal, respectively. The AP threshold is the AP above which substantially no lithium plating occurs.

Methods for fast-charging batteries

A hybrid powertrain system includes a method for managing electrical charging of a DC power source, which includes determining an initial charge-sustaining SOC setpoint and an initial charge-termination SOC setpoint. The DC power source is dynamically monitored. An adjustment to a charge-sustaining SOC setpoint is determined based upon the ambient temperature, the device temperature and the SOC of the DC power source, and an updated charge-sustaining SOC setpoint is determined based upon the adjustment to the charge-sustaining SOC setpoint and the initial charge-sustaining SOC setpoint. An electric energy equalization factor &#x3b1; is determined, and an updated charge termination SOC setpoint can be determined based upon the electric energy equalization factor &#x3b1;, the updated charge-sustaining SOC setpoint and the initial charge-sustaining SOC setpoint. Charging of the DC power source is controlled based upon the updated charge-termination SOC setpoint.

Method and apparatus for controlling a hybrid powertrain system

System and methods for estimating a life of a battery pack are presented. In certain embodiments, a method for estimating a life of a battery pack may include generating cell-level test data that includes measured parameters a of battery cell included in the battery pack in response to a plurality of test conditions. One or more first thermal response parameters associated with the battery cells of the battery pack may be determined. A battery cell aging model may be generated based, at least in part, on the cell-level test data and the one or more first thermal response parameters. Second thermal response parameters associated with the battery pack may be determined, and an estimated life of the battery pack may be determined based, at least in part, on the battery cell aging model and the second thermal response parameters.

Battery system pack life estimation systems and methods

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Farmington Hills, MI, United States of America

Ryan B Moulliet