Abstract: A system and method for determining the health of a component includes retrieving measured health signatures from the component, retrieving component usage variables, estimating component health signatures using an aging model, determining an aging derivative using the aging model and calculating an aging error based on the estimated component health signatures, the aging derivative and the measured health signatures.

Abstract: A system and method for providing component and sub-system state of health prognosis in a complex system using fault models and component aging models. The method includes determining a current state of health value for a sub-system using fault signature test results and determining current state of health values for a plurality of components in the sub-system using the fault signature test results. The method also determines current state of health values for components in the system that cannot use fault signature test results using a first probability model and the current state of health values for the plurality of components. The method determines predicted future state of health values for the components in the sub-system using component aging models and determines a predicted future state of health value for the sub-system using a second probability model and the future state of health values of the components.

Abstract: A system and method for use with a vehicle battery pack having a number of individual battery cells, such as a lithium-ion battery commonly used in hybrid electric vehicles. In one embodiment, the method evaluates individual battery cells within a vehicle battery pack in order to obtain accurate estimates regarding their average transient voltage effect, open circuit voltage (OCVCell) and/or state of charge (SOCCell) so that a cell balancing process can be performed. These cell evaluations may be performed fairly soon after the vehicle is turned off and in a manner that utilizes a minimal amount of in-vehicle resources.

Abstract: A method includes estimating a first diffusion voltage value of a battery by selecting the first diffusion voltage value from a look-up table, estimating a second diffusion voltage value of the battery using an estimation procedure, selecting at least one of the estimated first and second diffusion voltage values, and determining an open circuit voltage of the battery based at least in part on the selected diffusion voltage value. The method may be implemented by a computing device in a vehicle.

Abstract: A method of determining a state of health of a battery in real time includes estimating a parameter value associated with the state of health of the battery and determining one or more of a terminal voltage, an accumulated charge, a state of charge, and a temperature of the battery. The method further includes determining, via a computing device, a reserve capacity of the battery based at least in part on the estimated parameter value and one or more of the terminal voltage, the accumulated charge, the state of charge, and the temperature of the battery.

Abstract: A method is provided for enhancing service diagnostics utilizing service repair data of previously serviced vehicles. Service repair data of previously serviced vehicles is obtained from a memory storage device. The service data is compiled into a service diagnostic code dataset and a service labor code dataset. The service diagnostic code dataset and service labor code dataset are categorized into an electronic data table. Respective combinations are formed in the electronic data table. An aggregate count is determined for each respective combination in the electronic data table. Either of a respective diagnostic code or a respective service labor code is identified having a correlation with more than one of either service diagnostic codes or service labor codes. At least one of a service repair procedure used to repair the vehicle or a respective service diagnostic code used to identify the fault is modified in response to analyzing the respective combinations.

Abstract: A system and method for estimating parameters of a rechargeable energy storage system during a plug-in charge mode include reading a first measured voltage and a measured current from the rechargeable energy storage system while charging the rechargeable energy storage system during a plug-in charge mode, interrupting the charge to stop current flow to the rechargeable energy storage system for a predetermined period of time, reading a second measured voltage during the charge interrupt, calculating a resistance based on the first measured voltage, the second measured voltage and the measured current, calculating an open circuit voltage of the rechargeable energy storage system based on the resistance, the second measured voltage, the measured current and determining the state-of-charge for the rechargeable energy storage system using the open circuit voltage.

Abstract: A method for estimating vehicle battery parameters that uses two different sampling rates. The method samples a battery terminal voltage and current at a high sampling rate to estimate the battery open circuit voltage and high frequency resistance. The battery state of charge (SOC) is derived from the open circuit voltage. Next, the battery terminal voltage and current are re-sampled at a low sampling rate. Other battery parameters can be extracted from the low-rate sampled signals. Next, all of the battery parameters that were obtained from the two sampling rates are used together to predict battery power.

Abstract: A system and method for determining whether an onboard estimation process, such as a recursive least squares regression process, can effectively calculate the state-of-charge of a battery. The method includes defining a current sample time and a previous sample time and measuring the battery current. The method then calculates a variation moving average of the measured current and an index of current change rate determined by averaging the absolute value of the current variation moving average using the measured current and calculated moving averages from the previous sample time. The method then determines if the current change index is greater than a predetermined threshold, and if so, the estimate of the battery state-of-charge resulting from the onboard estimation process is valid.

Abstract: A method of determining a state-of-charge for a battery is provided. A startup state-of-charge of the battery is determined as a function of a present open circuit voltage measurement for a present ignition startup, at least one open circuit voltage observation of a previous ignition startup, and a current draw integration over a time period from a previous ignition startup event to a present ignition startup event. A run state-of-charge change of the battery is determined for an ignition key-on operation. The run state-of-charge change comprises a difference between the present open circuit voltage measurement and the at least one previous open circuit voltage observation, and is determined in response to of a current draw integration over a respective period of time. The state-of-charge of the battery is calculated based on a function of the startup state-of-charge and the run state-of-charge change of the battery.

Abstract: A method is provided for determining a battery capacity for a vehicle battery. Open circuit voltages of a vehicle battery are measured during ignition startups. A battery parameter is estimated for the vehicle battery that is a function of a present open circuit voltage measurement for a present ignition startup, a function of at least one open circuit voltage observation of a previous ignition startup, a function of a current draw integration over a time period from a previous ignition startup event to a present ignition startup event, and a function of an adjustment factor. A battery parameter is determined based on a new battery. The battery capacity is calculated as function of the battery parameter for the vehicle battery and the battery parameter for the new battery.

Abstract: A method is provided for determining a battery's state-of-health. An initial battery voltage is measured after a first voltage drop during an initiation of an engine cranking phase. A battery voltage is monitored during the remainder of the engine cranking phase. A lowest battery voltage is determined during the remainder of the engine cranking phase. A determination is made if a voltage difference between the lowest battery voltage and the initial battery voltage at the initiation of the engine cranking phase is less than a voltage threshold. A low battery state-of-health is identified in response to the voltage difference being less than the voltage threshold.

Abstract: A system and method for enhancing vehicle diagnostic and prognostic algorithms and improving vehicle maintenance practices. The method includes collecting data from vehicle components, sub-systems and systems, and storing the collected data in a database. The collected and stored data can be from multiple sources for similar vehicles or similar components and can include various types of trouble codes and labor codes as well as other information, such as operational data and physics of failure data, which are fused together. The method generates classes for different vehicle components, sub-systems and systems, and builds feature extractors for each class using data mining techniques of the data stored in the database. The method also generates classifiers that classify the features for each class. The feature extractors and feature classifiers are used to determine when a fault condition has occurred for a vehicle component, sub-system or system.

Abstract: An embodiment contemplates a method for estimating a capacity of a battery. A state of charge is determined at a first instant of time and at a second instant of time. A difference in the state of charge is determined between the first instant of time and the second instant of time. A net coulomb flow is calculated between the first instant of time and the second instant of time. The battery capacity is determined as a function of the change in the state of charge and the net coulomb flow.

Abstract: A system and method for estimating internal parameters of a lithium-ion battery to provide a reliable battery state-of-charge estimate. The method uses a two RC-pair equivalent battery circuit model to estimate the battery parameters, including a battery open circuit voltage, an ohmic resistance, a double layer capacitance, a charge transfer resistance, a diffusion resistance and a diffusion capacitance. The method further uses the equivalent circuit model to provide a difference equation from which the battery parameters are adapted, and calculates the battery parameters from the difference equation.

Abstract: A method for estimating vehicle battery parameters that uses two different sampling rates. The method samples a battery terminal voltage and current at a high sampling rate to estimate the battery open circuit voltage and high frequency resistance. The battery state of charge (SOC) is derived from the open circuit voltage. Next, the battery terminal voltage and current are re-sampled at a low sampling rate. Other battery parameters can be extracted from the low-rate sampled signals. Next, all of the battery parameters that were obtained from the two sampling rates are used together to predict battery power.

Abstract: A system and method for determining the health of a component includes retrieving measured health signatures from the component, retrieving component usage variables, estimating component health signatures using an aging model, determining an aging derivative using the aging model and calculating an aging error based on the estimated component health signatures, the aging derivative and the measured health signatures.

Abstract: A system and method for providing component and sub-system state of health prognosis in a complex system using fault models and component aging models. The method includes determining a current state of health value for a sub-system using fault signature test results and determining current state of health values for a plurality of components in the sub-system using the fault signature test results. The method also determines current state of health values for components in the system that cannot use fault signature test results using a first probability model and the current state of health values for the plurality of components. The method determines predicted future state of health values for the components in the sub-system using component aging models and determines a predicted future state of health value for the sub-system using a second probability model and the future state of health values of the components.

Abstract: A method of battery state of charge estimation considering battery hysteresis includes using a Preisach-model-based algorithm to calculate a battery state of charge.

Abstract: A system and method for use with a vehicle battery pack having a number of individual battery cells, such as a lithium-ion battery commonly used in hybrid electric vehicles. In one embodiment, the method evaluates individual battery cells within a vehicle battery pack in order to obtain accurate estimates regarding their average transient voltage effect, open circuit voltage (OCVCell) and/or state of charge (SOCCell) so that a cell balancing process can be performed. These cell evaluations may be performed fairly soon after the vehicle is turned off and in a manner that utilizes a minimal amount of in-vehicle resources.