Abstract: Methods and apparatus for determining a fitness of a battery for a candidate mission are provided. The method includes receiving a mission profile for the candidate mission, the mission profile indicating power demand for the battery during the candidate mission, simulating, by at least one computing device, a remaining energy of the battery based on the mission profile and properties of the battery associated with age and/or previous usage of the battery, and outputting an indication of the fitness of the battery for the candidate mission based, at least in part, on the remaining energy.

Abstract: A powertrain system for a vehicle is described. The powertrain system includes a first energy storage unit, a second energy storage unit, and an electronic control unit coupled to the first energy storage unit and the second energy storage unit. The first energy storage unit is configured to provide power to drive a first set of wheels of the vehicle. The second energy storage unit is configured to provide power to drive a second set of wheels of the vehicle different from the first set of wheels. The first and second energy storage units have different energy storage and/or energy discharge characteristics. The electronic control unit is programmed to control a charge and/or a discharge operation of the first energy storage unit and the second energy storage unit. The powertrain system is capable of implementing control strategies for optimizing energy and power to meet various driving demands of the vehicle.

Abstract: An electrical storage system comprises a first energy storage system and a second energy storage system having a lower electrical energy density and a higher rated electrical power output capability than the first energy storage system, at least one electrical power sensor configured to sense over a plurality of time intervals, electrical power usage information for a load electrically coupled to the first energy storage system and the second energy storage system, and at least one computer processor programmed to determine based, at least in part, on the sensed electrical power usage information and a power requirement of the load in a current time interval, charging/discharging parameters for each of the first energy storage system and the second energy storage system, and control charging/discharging of each of the first and second energy storage systems in accordance with the determined charging/discharging parameters during the current time interval.

Abstract: Methods and apparatus for estimating an energy storage performance property of an energy system are provided. The method includes providing, as input to an energy storage model and a machine learning model, sensor information associated with the energy system, wherein the energy storage model comprises an empirical model and/or a physics-based model, providing as input to the machine learning model, one or more values based on an output of the energy storage model, and determining based, at least in part, on an output of the machine learning model, an estimate of the energy storage performance property.

Abstract: Systems, methods, and at least one computer-readable medium for selecting a velocity profile for an electric vehicle. In some embodiments, a first parameter value may be determined for a road segment in a selection horizon, and a second parameter value may be determined for an energy storage device of the electric vehicle. The first and second parameter values may be used to predict a plurality of velocity profiles over the selection horizon, wherein each velocity profile is predicted based on a corresponding value of a variable relating to a driving style of a driver of the electric vehicle. An energy consumption cost and a travel time cost may be computed for each velocity profile. A velocity profile may be selected from the plurality of velocity profiles, based on the respective energy consumption costs and the respective travel time costs.

Abstract: An electrical storage system comprises a first energy storage system and a second energy storage system having a lower electrical energy density and a higher rated electrical power output capability than the first energy storage system, at least one electrical power sensor configured to sense over a plurality of time intervals, electrical power usage information for a load electrically coupled to the first energy storage system and the second energy storage system, and at least one computer processor programmed to determine based, at least in part, on the sensed electrical power usage information and a power requirement of the load in a current time interval, charging/discharging parameters for each of the first energy storage system and the second energy storage system, and control charging/discharging of each of the first and second energy storage systems in accordance with the determined charging/discharging parameters during the current time interval.

Abstract: An electrical storage system comprises a first energy storage system and a second energy storage system having a lower electrical energy density and a higher rated electrical power output capability than the first energy storage system, at least one electrical power sensor configured to sense over a plurality of time intervals, electrical power usage information for a load electrically coupled to the first energy storage system and the second energy storage system, and at least one computer processor programmed to determine based, at least in part, on the sensed electrical power usage information and a power requirement of the load in a current time interval, charging/discharging parameters for each of the first energy storage system and the second energy storage system, and control charging/discharging of each of the first and second energy storage systems in accordance with the determined charging/discharging parameters during the current time interval.

Abstract: An electrical storage system comprises a first energy storage system and a second energy storage system having a lower electrical energy density and a higher rated electrical power output capability than the first energy storage system, at least one electrical power sensor configured to sense over a plurality of time intervals, electrical power usage information for a load electrically coupled to the first energy storage system and the second energy storage system, and at least one computer processor programmed to determine based, at least in part, on the sensed electrical power usage information and a power requirement of the load in a current time interval, charging/discharging parameters for each of the first energy storage system and the second energy storage system, and control charging/discharging of each of the first and second energy storage systems in accordance with the determined charging/discharging parameters during the current time interval.

Abstract: Systems, methods, and at least one computer-readable medium for selecting a velocity profile for an electric vehicle. In some embodiments, a first parameter value may be determined for a road segment in a selection horizon, and a second parameter value may be determined for an energy storage device of the electric vehicle. The first and second parameter values may be used to predict a plurality of velocity profiles over the selection horizon, wherein each velocity profile is predicted based on a corresponding value of a variable relating to a driving style of a driver of the electric vehicle. An energy consumption cost and a travel time cost may be computed for each velocity profile. A velocity profile may be selected from the plurality of velocity profiles, based on the respective energy consumption costs and the respective travel time costs.

Abstract: Systems, methods, and at least one computer-readable medium are described. The system comprises at least one processor and at least one computer-readable storage medium having encoded thereon instructions that, when executed, program the at least one processor to for each candidate model of a plurality of candidate models, determine a reward for using the candidate model in a context, wherein the context comprises a value of a feature selected from a group consisting of, a feature relating to an environment in which an energy application is operating, a feature relating to the energy application, and a feature relating to one or more energy storage devices associated with the energy application. The at least one processor being further programmed to select a model from the plurality of candidate models, based at least in part on the respective rewards for using the candidate models in the context.

Abstract: An electrical storage system comprises a first energy storage system and a second energy storage system having a lower electrical energy density and a higher rated electrical power output capability than the first energy storage system, at least one electrical power sensor configured to sense over a plurality of time intervals, electrical power usage information for a load electrically coupled to the first energy storage system and the second energy storage system, and at least one computer processor programmed to determine based, at least in part, on the sensed electrical power usage information and a power requirement of the load in a current time interval, charging/discharging parameters for each of the first energy storage system and the second energy storage system, and control charging/discharging of each of the first and second energy storage systems in accordance with the determined charging/discharging parameters during the current time interval.