Abstract: 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.

Abstract: An electrical system includes a battery, sensors, and a controller. The sensors output measured signals indicative of an actual state of the battery, including respective actual voltage, current, and temperature signals for each battery cell. The controller, in conducting a method, generates an estimated state of the battery, including a predicted voltage of the battery, doing so responsive to the signals using an open-circuit voltage and an output of an empirical model. An operating state of the electrical system is controlled using the estimated state. The empirical model includes low-pass/band-pass filters and a high-pass filter each with a different time-constant, the time-constants being spread over a time-constant range. Each low-pass/band-pass filter branches through a basis function(s) whose output(s) are multiplied by a respective resistance value to generate higher-frequency voltage transients. The controller sums the open-circuit voltage and voltage transients to derive the predicted voltage.

Abstract: 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 (Pi), including raising one or more of a plurality of flags each transmitting respective information to a user.

Abstract: A number of variations may include products and methods for estimating the state of an energy system. At least one sensor may monitor a voltage and a current of the energy storage system. An electronic controller may be communicatively coupled with the energy storage system and may receive input from the sensor. A circuit may be representative of the energy storage system and may be appropriately defined in the electronic controller. The circuit may estimate a state of the energy storage system from a reading of the voltage and the current.

Abstract: A number of variations may include a product comprising: an electrochemical device comprising an anode and a cathode, and at least one sensor comprising a plurality of strain sensing components and at least one temperature sensing component wherein each of the anode and the cathode comprises at least one strain sensing component comprising an optical fiber comprising at least one grating, wherein the at least one sensor is constructed and arranged to provide measurements that derive both state of charge and temperature of the anode and the cathode simultaneously.

Abstract: A number of variations may include a product comprising: at least one sensor comprising an optical fiber comprising a first end comprising a semiconductor material, a second end, and a longitudinal midsection comprising a grating, wherein the sensor is constructed and arranged to provide measurements that derive both state of charge and temperature of an electrochemical device simultaneously.

Abstract: During the charging of lithium-ion batteries, comprising graphite anode particles, the goal is to intercalate lithium into the anode materials as LiC6. But it is possible to conduct the charging process at a rate that lithium is undesirably plated, undetected, as lithium metal on the particles of graphite. During an open-circuit period of battery operation, immediately following such a charging period, the presence of lithium plating can be detected, using a computer-based monitoring system, by continually measuring the cell potential (Vcell) over a brief period of open-circuit time, fitting the open-circuit voltage data to a best cubic polynomial fit, and then determining dVcell/dt (mV/s) from the polynomial fit over a like period of time. It is found that the presence of a maximum or a minimum in the derivative curve (a local minimum) reliably correlates with plated lithium on the graphite particles of the anode.

Abstract: A discharge module is configured to determine a change in capacity of the battery between: (i) a measurement of a first open circuit voltage (OCV) of a battery of a vehicle; and (ii) a measurement of a second OCV of the battery. A lookup table is stored in memory and includes reference states of charge (SOCs) indexed by reference OCVs and reference capacities. A relationship module is configured to: from the lookup table, identify a first set of the reference SOCs associated with the first OCV and the reference capacities, respectively; from the lookup table, identify a second set of the reference SOCs associated with the second OCV and the reference capacities, respectively; determine changes in SOC associated with the reference capacities; determine changes in capacity; and determine an equation that relates changes in capacity to capacity based on the changes in capacity and the reference capacities, respectively.

Abstract: 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.

Abstract: Systems and methods are disclosed for estimating a state of a battery system such as a current-limited state of power and/or a voltage-limited state of power using a battery system model incorporating a nonlinear resistance element. Parameters of elements included in a battery cell model associated with a nonlinear resistance of a battery cell may be directly parameterized and used in connection with state estimation methods. By accounting for the nonlinear effect, embodiments of the disclosed systems and methods may increase available battery power utilized in connection with battery system control and/or management decisions over a larger window of operating conditions.

Abstract: A number of illustrative variations may include a method, which may include obtaining terminal voltage data of a electrochemical device; determining an equivalent circuit model which operates in a manner approximating the terminal voltage data comprising an open circuit voltage VOC comprising a constant voltage source V0 and a voltage Vs across a capacitor Cs, in series with an overpotential circuit comprising an overpotential voltage V1; determining at least one of the power capabilities of the equivalent circuit model; and, estimating at least one of the power capabilities of the electrochemical device based upon the determined power capabilities of the equivalent circuit model.

Abstract: 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.

Abstract: 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.

Abstract: A number of variations may include a product comprising: an electrochemical device comprising an anode and a cathode, and at least one sensor comprising a plurality of strain sensing components and at least one temperature sensing component wherein each of the anode and the cathode comprises at least one strain sensing component comprising an optical fiber comprising at least one grating, wherein the at least one sensor is constructed and arranged to provide measurements that derive both state of charge and temperature of the anode and the cathode simultaneously.

Abstract: A number of variations may include a product comprising: at least one sensor comprising an optical fiber comprising a first end comprising a semiconductor material, a second end, and a longitudinal midsection comprising a grating, wherein the sensor is constructed and arranged to provide measurements that derive both state of charge and temperature of an electrochemical device simultaneously.

Abstract: A number of variations may include products and methods for estimating the state of an energy system. At least one sensor may monitor a voltage and a current of the energy storage system. An electronic controller may be communicatively coupled with the energy storage system and may receive input from the sensor. A circuit may be representative of the energy storage system and may be appropriately defined in the electronic controller. The circuit may estimate a state of the energy storage system from a reading of the voltage and the current.

Abstract: A number of illustrative variations may include a method, which may include obtaining terminal voltage data of a electrochemical device; determining an equivalent circuit model which operates in a manner approximating the terminal voltage data comprising an open circuit voltage VOC comprising a constant voltage source V0 and a voltage Vs across a capacitor Cs, in series with an overpotential circuit comprising an overpotential voltage V1; determining at least one of the power capabilities of the equivalent circuit model; and, estimating at least one of the power capabilities of the electrochemical device based upon the determined power capabilities of the equivalent circuit model.

Abstract: A manufacturing fixture includes a rigid base defining a control plane. A first cone locator pin has a first longitudinal axis. The first cone locator pin is connected to the rigid base with the first longitudinal axis orthogonal to the control plane to engage a complementary locating aperture defined in a workpiece. The first cone locator pin engages the complementary locating aperture to locate the workpiece and constrain translation of the workpiece with respect to the control plane. A second cone locator pin has a second longitudinal axis. The second cone locator pin is connected to the rigid base with the second longitudinal axis orthogonal to the control plane to engage a complementary locating hole defined in a workpiece. The second cone locator pin engages the complementary locating hole to locate the workpiece and prevent rotation of the workpiece about the first longitudinal axis.

Abstract: A manufacturing fixture includes a rigid base defining a control plane. A first cone locator pin has a first longitudinal axis. The first cone locator pin is connected to the rigid base with the first longitudinal axis orthogonal to the control plane to engage a complementary locating aperture defined in a workpiece. The first cone locator pin engages the complementary locating aperture to locate the workpiece and constrain translation of the workpiece with respect to the control plane. A second cone locator pin has a second longitudinal axis. The second cone locator pin is connected to the rigid base with the second longitudinal axis orthogonal to the control plane to engage a complementary locating hole defined in a workpiece. The second cone locator pin engages the complementary locating hole to locate the workpiece and prevent rotation of the workpiece about the first longitudinal axis.

Abstract: A number of illustrative variations may include a method, which may include using at least a segment of impedance-based battery power capability estimation data, and using real-time linear regression, which may be used as a method of estimating future behavior of a system based on current and previous data points, to provide a robust state of power predictor.