Abstract: A state of health (SOH) based control system includes: a memory configured to store an algorithm including instructions for determining a SOH of a power source; and a control module configured to receive a voltage signal indicating a voltage of the power source and execute the instructions. The instructions include: determining a state of charge (SOC) of the power source; generating a differential signal based on a change in the voltage and a change in the state of charge; determining an inflection point and an end of charge point of the differential signal; determining the SOH of the power source based on the inflection point and the end of charge point; and performing at least one of a control operation or a countermeasure based on the SOH.

Abstract: A battery pack includes: first battery modules, the first battery modules each including first battery cells having a first battery cell chemistry and not including second battery cells having a second battery cell chemistry that is different than the first battery cell chemistry; second battery modules, the second battery modules each including the second battery cells having the second battery cell chemistry and not including the first battery cells having the first battery chemistry; switches; and a switch control module configured to actuate the switches and control charging and discharging of the first and second battery modules.

Abstract: A system for an electric vehicle includes a hysteresis module configured to calculate a plurality of hysteresis state components of a battery based on a measured current and a respective hysteresis transit rate, calculate an overall hysteresis state of the battery based on the plurality of hysteresis state components, and calculate a hysteresis voltage of the battery based on the overall hysteresis state, and a state of charge (SOC) module configured to calculate an SOC of the battery based in part on the hysteresis voltage.

Abstract: A battery system includes: at least two battery modules, where each of the at least two battery modules includes three strings of battery cells; and a switch control module configured to: determine state of charges (SOCs) of the strings of battery cells, respectively; determine, using model predictive control based on the SOCs, periods of phases, respectively; determine, using model predictive control based on the SOCs, periods for the strings, respectively, to be connected to a second positive terminal and a negative terminal during the phases, the determination of the periods for the strings including: setting the period for one of the strings of one of the battery modules to end before the end of a phase; and setting the periods for the other two strings of the one of the battery modules to end at the end of the phase.

Abstract: A battery system includes: a first positive terminal; a second positive terminal; a negative terminal; switches; two battery modules, each including three strings of battery cells that are configured to, at different times be: connected in series and to the first positive terminal via first ones of the switches; connected in parallel and to the second positive terminal via second ones of the switches; and disconnected from both of the first and second positive terminals; and a switch control module configured to: determine state of charges (SOCs) of the strings of battery cells, respectively; determine, using model predictive control, periods of phases, respectively, to balance SOCs of the battery modules; determine, using model predictive control, periods for the strings, respectively, including setting one of the periods for one of the strings to be included in at least two of the phases; and selectively actuate the switches based on the periods of the phases and the periods for the strings of battery cells

Abstract: A battery system includes: two battery modules, each including three strings of battery cells that are configured to, at different times be: connected in series and to a first positive terminal via first ones of switches; connected in parallel and to a second positive terminal via second ones of the switches; and disconnected from both of the first and second positive terminals; and a switch control module configured to: determine state of charges (SOCs) of the strings, respectively; determine periods of phases, respectively, based on the SOCs; determine first periods for connecting ones of the strings in parallel; divide one of the phases into N equal length periods; selectively decrease N; when a number of the first periods that end closest to one of N period endings is at least a predetermined value, adjust the first periods to the respective closest ones of the N period endings.

Abstract: A battery system includes: switches; two battery modules, each of the two battery modules including three strings of battery cells configured to, at different times be: connected in series and to a first positive terminal via first ones of the switches; connected in parallel and to a second positive terminal via second ones of the switches; and disconnected from both of the first and second positive terminals; and a switch control module configured to: determine state of charges (SOCs) of the strings of battery cells, respectively; determine, using model predictive control, periods of phases, respectively, to balance SOCs of the battery modules; determine, using model predictive control, periods for the strings, respectively, to be connected during the phases to balance the SOCs of the strings of battery cells; and selectively actuate the switches based on the periods of the phases and the periods for the strings of battery cells.

Abstract: A system includes a state of charge (SOC) calculation module configured to calculate an SOC of a battery cell based on a measured current of the battery cell and an overpotential calculation module configured to receive the measured current and output lagged currents based on the measured current and respective time constants, output a weighted measured current and weighted lagged currents based on a plurality of weighting factors, wherein a sum of the plurality of weighting factors is 1, calculate an equivalent constant current corresponding to the measured current based on the weighted measured current and the weighted lag currents, and calculate an overpotential of the battery cell based on the equivalent constant current. The system is configured to output a predicted voltage of the battery cell based on the calculated SOC and the calculated overpotential of the battery cell.

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: 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: 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: 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 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 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: 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: 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 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.