Abstract: A control system for controlling a powertrain of an electric vehicle is disclosed. The powertrain comprises a traction motor and a battery for powering the traction motor. The control system is configured to detect a low state of charge of the battery and to operate the powertrain in a low state of charge mode when the low state of charge is detected. In the low state of charge mode, the control system adjusts at least one parameter of the powertrain, such as traction motor torque, powertrain cooling, accessory cooling and accessory power consumption, to reduce power drawn from the battery.

Abstract: Methods and systems of estimating an end of life of a rechargeable energy storage device in an energy storage system is disclosed. The system includes at least a motor, the energy storage device associated with the motor, a processing unit associated with the energy storage device, and at least one sensor operatively coupled with the processing unit and the energy storage device. The method includes measuring a most recent state of health (SOH) of the energy storage device after the system is started, storing the most recent SOH with at least one previously measured SOH, calculating a new replace-by date of the energy storage device based on the most recent SOH and the at least one previously measured SOH, and replacing a previously calculated old replace-by date with the new replace-by date, the new replace-by date being the same as or shorter than the old replace-by date.

Abstract: A control system for controlling a powertrain of an electric vehicle is disclosed. The powertrain comprises a traction motor and a battery for powering the traction motor. The control system is configured to detect a low state of charge of the battery and to operate the powertrain in a low state of charge mode when the low state of charge is detected. In the low state of charge mode, the control system adjusts at least one parameter of the powertrain, such as traction motor torque, powertrain cooling, accessory cooling and accessory power consumption, to reduce power drawn from the battery.

Abstract: The present disclosure provides systems and methods for charging multiple electric vehicles. In particular, the present disclosure provides a system having a single charger configured to connect with a plurality of electric vehicles and methods for charging one or more electric vehicles using said system. The present disclosure further provides a method for bidirectional current flow between the grid and the one or more electric vehicles.

Abstract: The present disclosure provides a system and method for performing an automatic port over process to replace and/or add to calibration data of an electric vehicle with updated calibration data, comprising: downloading the updated calibration data from a remote computing system; determining whether a charging port of the vehicle is connected to a charging station; determining whether a charging event is complete, wherein an energy storage system of the vehicle receives electrical energy from the charging station through the charging port; determining whether the vehicle is located within a predetermined geo-fence location; and performing the automatic port over process in response to (1) the charging port being connected to the charging station, (2) the charging event being complete, and (3) the vehicle being located within a predetermined geo-fence location

Abstract: Methods and systems of estimating an end of life of a rechargeable energy storage device in an energy storage system is disclosed. The system includes at least a motor, the energy storage device associated with the motor, a processing unit associated with the energy storage device, and at least one sensor operatively coupled with the processing unit and the energy storage device. The method includes measuring a most recent state of health (SOH) of the energy storage device after the system is started, storing the most recent SOH with at least one previously measured SOH, calculating a new replace-by date of the energy storage device based on the most recent SOH and the at least one previously measured SOH, and replacing a previously calculated old replace-by date with the new replace-by date, the new replace-by date being the same as or shorter than the old replace-by date.

Abstract: A spark ignited internal combustion engine is controlled in response to a self-learned TOB reference. The self-learned TOB reference is based on a difference between a learned TOB offset and a desired or target TOB, and a sensed TOB. The learned TOB offset at a given operating condition, such as charge pressure, can be found by interpolating between the learned charge pressure breakpoints in a TOB learning algorithm. The TOB learning algorithm can include using a filtered charge pressure value to indicate the engine load at which the TOB is learned. An index determination is made with a look up table with charge pressure as an input and an array index of learned charge pressure and learned TOB offset as outputs.

Abstract: At least some embodiments of the present disclosure are directed to systems and methods for route identifications and/or range estimations. The system is configured to generate a plurality of routes and a plurality of sub-routes based on transit route information and/or historical telematics data. The system is configured to receive or obtain location information of an electrified transit vehicle and identify a route/sub-route being taken by the electrified transit vehicle based on the location information. In some cases, the system is configured to determine a range estimation of the electrified transit vehicle based on the location information and the identified route/sub-route.

Abstract: A method to estimate a time to full charge of battery packs of an electric vehicle, including: determining a predetermined transition voltage based on a charging capacity of a charger; estimating a voltage of a battery pack; determining a constant charging-current phase duration, a transition from the constant charging-current phase duration to a tapered charging-current phase occurring when the estimated voltage equals the predetermined transition voltage, the constant charging-current phase duration being based on the transition to the tapered charging-current phase; determining a tapered charging-current phase duration; and adding the constant charging-current phase duration to the tapered charging-current phase duration to determine a charging time.

Abstract: A spark ignited internal combustion engine is controlled in response to a self-learned TOB reference. The self-learned TOB reference is based on a difference between a learned TOB offset and a desired or target TOB, and a sensed TOB. The learned TOB offset at a given operating condition, such as charge pressure, can be found by interpolating between the learned charge pressure breakpoints in a TOB learning algorithm. The TOB learning algorithm can include using a filtered charge pressure value to indicate the engine load at which the TOB is learned. An index determination is made with a look up table with charge pressure as an input and an array index of learned charge pressure and learned TOB offset as outputs.