Abstract: Methods and systems for estimating remaining time to end-of-life of a rechargeable battery used in vehicle or grid application. A degradation filter is used to construct estimated battery capacity values from a series of battery capacity measurements. An inverted degradation model calculates a first time to end-of-life using parameters determined by the degradation filter. A cubic-end-point model calculates a second time to end-of-life using a set of coefficients derived from the series of battery capacity measurements. A decision logic identifies one the first time to end-of-life or the second time to end-of-life as reliable.

Abstract: Methods and systems for estimating a battery parameter for a rechargeable battery. A sequence of a first zero current period, a first battery measurement of the first battery circuit, delivery of a known quantity of charge to the first battery circuit, a second zero current period, and a second battery measurement is performed. The known quantity of charge may be obtained from various sources. The battery parameter is estimated using an inverted open circuit voltage model, the first and second battery voltage measurements, and the known quantity of charge. The battery parameter may be a battery capacity and/or battery state of health.

Abstract: Control architectures and methods for use in a vehicle having a battery and a powertrain including an electric motor that receives power from the battery. A battery thermal management system is controlled to minimize economic costs that are summed from each of costs of battery deterioration and costs of maintaining the battery at given temperatures. The control architecture is for the thermal management system and treats battery current as a disturbance rather than as a controlled parameter.

Abstract: Methods and systems for controlling charging of the battery in an electric vehicle. Lithium plating is monitored, measured, or estimated. Identification of lithium plating conditions is used to determine whether and when to reduce charging current. Conversely, if no lithium plating conditions are identified, charging current may be increased toward a maximum level determined based on the state, age and/or health of the battery.

Abstract: A method includes implementing an inverted degradation model to determine an optimal battery core temperature. The inverted degradation model receives as inputs one or more of a power state value indicating whether the battery is currently in a high-power state or a low power state, a battery temperature value representing a current battery core temperature, a battery degradation value representing a battery degradation status, a battery age indicator representing a current age of the battery, a state of charge value representing a remaining battery charge and a battery current load value representing a current draw from the battery by the electric vehicle. The inverted degradation model outputs a desired battery core temperature value. The method includes operating the battery thermal system in order to achieve the desired battery core temperature.

Abstract: Methods and systems for fault identification and mitigation in an engine system. A state observer obtains current state information from the engine system, and a feature calculator uses data obtained from the state observer to calculate one or more feature indicators, which are monitored by a health estimator for the occurrence of a change using one or more change probability models. When the health estimator identifies a change, a fault isolator determines a component of the engine system that is subject to fault or health deterioration.

Abstract: Methods and systems for estimating driving range for an electric vehicle. Each of Kalman Filter-based and receding horizon-based approaches to estimating driving range and providing driving range data to a driver of a vehicle are illustrated. Approaches configured for use when a destination is not known as well as when a destination is known are illustrated.

Abstract: Engine systems, vehicles and methods related to refueling in conjunction with infrastructure to vehicle communication. A vehicle or engine system may receive refueling information including a fuel quantity at a refueling event, and uses the refueling information to identify and/or eliminate measurement or modelling bias in the underlying engine system controls. The vehicle may also self-determine fuel efficiency. The vehicle may use charging data, rather than refueling data, to perform calculations of battery life, state of charge, state of health, and efficiency in electric vehicle examples.

Abstract: Methods and systems for fault identification and mitigation in an engine system. A state observer obtains current state information from the engine system, and a feature calculator uses data obtained from the state observer to calculate one or more feature indicators, which are monitored by a health estimator for the occurrence of a change using one or more change probability models. When the health estimator identifies a change, a fault isolator determines a component of the engine system that is subject to fault or health deterioration.

Abstract: The health of a battery within an electric or hybrid electric vehicle may be estimated by receiving battery condition signals from a battery monitoring system within the vehicle. The received battery condition signals are used to estimate an SOH (state of health) of the battery and an SOC (state of charge) of the battery. The estimated SOH and the estimated SOC are used in combination with a degradation model to estimate one or more of a capacity loss-related parameter and a internal resistance-related parameter, which are then used to estimate a RUL (remaining useful life) value and/or a CBW (cumulative battery wear cost) value.

Abstract: Methods and systems for fault identification and mitigation in an engine system. A state observer obtains current state information from the engine system, and a feature calculator uses data obtained from the state observer to calculate one or more feature indicators, which are monitored by a health estimator for the occurrence of a change using one or more change probability models. When the health estimator identifies a change, a fault isolator determines a component of the engine system that is subject to fault or health deterioration.

Abstract: Methods and systems for calculating a plurality of aging factors in a system operating an engine. The calculated aging factors may include one or more of fuel injector drift, exhaust gas recirculation valve obstruction, and mass air flow sensor bias. Mass flow throughout the system, and pressures and temperatures within the system, are observed in an approach that relies on mass preservation concepts to estimate fuel injector drift, exhaust gas recirculation valve obstruction, and mass air flow sensor bias.

Abstract: Engine systems, vehicles and methods related to refueling in conjunction with infrastructure to vehicle communication. A vehicle or engine system may receive refueling information including a fuel quantity at a refueling event, and uses the refueling information to identify and/or eliminate measurement or modelling bias in the underlying engine system controls. The vehicle may also self-determine fuel efficiency. The vehicle may use charging data, rather than refueling data, to perform calculations of battery life, state of charge, state of health, and efficiency in electric vehicle examples.

Abstract: Methods and systems for fault identification and mitigation in an engine system. A state observer obtains current state information from the engine system, and a feature calculator uses data obtained from the state observer to calculate one or more feature indicators, which are monitored by a health estimator for the occurrence of a change using one or more change probability models. When the health estimator identifies a change, a fault isolator determines a component of the engine system that is subject to fault or health deterioration.

Abstract: New and/or alternative approaches to determine mass flow using a flow measurement device in a pulsatile flow context. The flow measurement device is configured to generate a delta-pressure measurement. A semi-physical valve model is generated for the flow measurement device, and the delta-pressure measurement is then is isolated using the model. A discharge coefficient map is determined for the flow measurement device by testing using sets of operating parameters for a system. The operating parameters of the system are then used to determine the discharge coefficient for use in estimating mass flow with the semi-physical valve model. The resultant estimated mass flow can be used to control the system, and a Factor of Effective Area estimate generated using the valve model can be used to determine the status of the flow measurement device and identify or predict a need for maintenance.

Abstract: Methods and systems for calculating a plurality of aging factors in a system operating an engine. The calculated aging factors may include one or more of fuel injector drift, exhaust gas recirculation valve obstruction, and mass air flow sensor bias. Mass flow throughout the system, and pressures and temperatures within the system, are observed in an approach that relies on mass preservation concepts to estimate fuel injector drift, exhaust gas recirculation valve obstruction, and mass air flow sensor bias.

Abstract: Methods and systems for fault mitigation in an engine system. For ordinary operation, a set of control signals are generated after calculating airflows within the engine system using a set of flow models linked to components of the engine system, while underweighting or omitting an output of a sensor in the engine system. When a fault is identified, the set of flow models is analyzed differently by underweighting or omitting one or more flow models in favor of using the sensor output. By so doing, the engine system can continue to be operated without triggering an on-board diagnostic alert requiring cessation of operation.

Abstract: Methods and systems for calculating a plurality of aging factors in a system operating an engine. The calculated aging factors may include one or more of fuel injector drift, exhaust gas recirculation valve obstruction, and mass air flow sensor bias. Mass flow throughout the system, and pressures and temperatures within the system, are observed in an approach that relies on mass preservation concepts to estimate drift, obstruction and bias estimates.

Abstract: New and/or alternative approaches to determine mass flow using a flow measurement device in a pulsatile flow context. The flow measurement device is configured to generate a delta-pressure measurement. A semi-physical valve model is generated for the flow measurement device, and the delta-pressure measurement is then is isolated using the model. A discharge coefficient map is determined for the flow measurement device by testing using sets of operating parameters for a system. The operating parameters of the system are then used to determine the discharge coefficient for use in estimating mass flow with the semi-physical valve model. The resultant estimated mass flow can be used to control the system, and a Factor of Effective Area estimate generated using the valve model can be used to determine the status of the flow measurement device and identify or predict a need for maintenance.

Abstract: New and/or alternative approaches to determine mass flow using a flow measurement device in a pulsatile flow context. The flow measurement device is configured to generate a delta-pressure measurement. A semi-physical valve model is generated for the flow measurement device, and the delta-pressure measurement is then is isolated using the model. A discharge coefficient map is determined for the flow measurement device by testing using sets of operating parameters for a system. The operating parameters of the system are then used to determine the discharge coefficient for use in estimating mass flow with the semi-physical valve model. The resultant estimated mass flow can be used to control the system, and a Factor of Effective Area estimate generated using the valve model can be used to determine the status of the flow measurement device and identify or predict a need for maintenance.