Gm Global Technolgoy Operations, Inc.

Ciro A Spigno

Brian James Koch

Chaitanya Sankavaram

Garrett M Seeman

Ryan B Moulliet

Yilu Zhang

Charles W Wampler, Ii

Azeem Sarwar

Jeffrey S Piasecki

Justin Bunnell

Vernon L Newhouse

David R Clark

Xiangxing Lu

Brett T Muller

Calvin Wang

Marjorie A Bassham

Michael Wahlstrom

Andrew J Cornelli

Ning Wang

Margaux LeBlanc

Gus Hatoum

A system for monitoring a battery of a vehicle includes a current measuring circuit to measure a current of the battery comprising a plurality of cell groups connected to each other. A voltage measuring circuit is to measure voltages of the cell groups. A controller is configured to define a plurality operating regions in a current profile of the battery during a drive cycle of the vehicle. The controller is configured to filter the current and the voltages measured in the operating regions and calculate internal resistances of the cell groups in the operating regions based on the filtered current and voltages. The controller is configured to generate statistical values based on the internal resistances of the cell groups and determine whether one or more of the cell groups is faulty based on differences between maximum and minimum values of one of the statistical values across the cell groups.

Resistance estimation of high voltage battery packs during vehicle driving operation

A system for monitoring a battery of a vehicle includes a processor and a memory storing instructions which when executed by the processor configure the processor to receive first features including statistics of internal resistances of a plurality of cell groups in a battery pack of the battery, compute second features for the battery pack based on the first features, determine whether the battery pack is faulty based on one or more of the second features, and determine, in response to the battery pack being faulty, whether one or more of the cell groups is faulty based on one or more of the first features.

Health monitoring methods for early fault detection in high voltage battery packs used in electric vehicles

A method for estimating remaining energy in a battery pack having series-connected cells/cell groups includes measuring battery parameters, including a battery voltage, current, and temperature. The controller estimates a static state of charge difference (&#x394;SOC) value and a current-dependent &#x394;SOC value in real-time using the parameters, including calculating the static &#x394;SOC value as a difference between an average SOC of the battery pack and an SOC of a weakest/lowest energy cell group. The current-dependent &#x394;SOC value is a percentage SOC per unit of the current. The static &#x394;SOC value and current-dependent &#x394;SOC values are filtered via a multi-parameter state estimator block. Using the filtered state values, the controller executes a control action responsive to the estimated remaining energy, including displaying the remaining energy and/or a quantity derived from the remaining energy via a display device. A powertrain system includes the controller, electric machine, and battery pack.

Method and system for estimating remaining battery pack energy using cell-group state of charge spread

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 charging system and method that may be used to automatically apply customized charging settings to a plug-in electric vehicle, where application of the settings is based on the vehicle's location. According to an exemplary embodiment, a user may establish and save a separate charging profile with certain customized charging settings for each geographic location where they plan to charge their plug-in electric vehicle. Whenever the plug-in electric vehicle enters a new geographic area, the charging method may automatically apply the charging profile that corresponds to that area. Thus, the user does not have to manually change or manipulate the charging settings every time they charge the plug-in electric vehicle in a new location.

System and method for charging a plug-in electric vehicle

System and methods for estimating a temperature of a battery are presented. In some embodiments, a method of estimating a temperature of a battery system may utilize measured battery system temperature data and measured ambient temperature data. Based on the measured temperature data, an average estimated temperature of the battery system may be determined using, at least in part, an extended Kalman filter and an energy balance process model associated with the battery system.

Systems and methods for battery system temperature estimation

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Waterford, MI, United States of America

Ciro A Spigno