Abstract: A first network device includes a transceiver, a memory and a control module. The transceiver receives an integrated model from a second network device that is separate from the first network device. The memory stores the integrated model and diagnostic trouble code data, most probable cause data, and least probable cause data, which have corresponding cause of issue indications for an issue of a vehicle. The control module while executing the integrated model: compares the cause of issue indications to determine whether the cause of issue indications are consistent such that a same cause of issue is indicated; in response to the cause of issue indications being consistent, displays the same cause of issue, and in response to the cause of issue indications being inconsistent and based on a set of conditions, displays a portion of health related information while refraining from displaying another portion of the health related information.

Abstract: A first network device includes a transceiver, a memory and a control module. The transceiver receives an integrated model from a second network device that is separate from the first network device. The memory stores the integrated model and diagnostic trouble code data, most probable cause data, and least probable cause data, which have corresponding cause of issue indications for an issue of a vehicle. The control module while executing the integrated model: compares the cause of issue indications to determine whether the cause of issue indications are consistent such that a same cause of issue is indicated; in response to the cause of issue indications being consistent, displays the same cause of issue, and in response to the cause of issue indications being inconsistent and based on a set of conditions, displays a portion of health related information while refraining from displaying another portion of the health related information.

Abstract: A system and method of managing electrical energy consumption and generation of a vehicle. The method includes: determining a vehicle operation schedule for the vehicle, wherein the vehicle operation schedule includes one or more expected vehicle trips that each include a vehicle start location, a vehicle end location, and a time period; obtaining forecasted vehicle trip data based on the vehicle operation schedule; obtaining forecasted vehicle operation data pertaining to the vehicle operation schedule; determining a vehicle energy plan for the vehicle based on the forecasted vehicle trip data and the forecasted vehicle operation data; and causing the vehicle to carry out the vehicle energy plan during the vehicle operation schedule.

Abstract: A method and system of diagnosing and suggesting least probable faults for an exhibited vehicle failure. The method includes initiating a vehicle health management (VHM) algorithm to monitor a state of health (SOH) for at least one vehicle component at each vehicle operating event over a predetermined time period. The VHM algorithm determines at least one of a Green SOH, a Yellow SOH, and a Red SOH designation with a confidence level for the at least one vehicle component; calculating a number of Green SOH designations (Ncalculated) over the predetermined time period; and upon an exhibited vehicle failure, providing a least probable cause indication for the at least one component when a set of conditions are met. The set of conditions includes (i) Ncalculated is equal to or greater than a predetermined number of Green SOH designations and (ii) no Yellow SOH and Red SOH designations are present.

Abstract: A battery maintenance system includes an enclosure including a plurality of walls. A plurality of battery cells are located in the enclosure and surrounded by electrolyte. An electrolyte agitator such as a piezoelectric device is attached to at least one of the walls of the enclosure and is configured to selectively agitate the electrolyte.

Abstract: A method of diagnosing a root cause for an exhibited vehicle failure, comprises initiating a vehicle health management (VHM) algorithm, repeatedly monitoring, at a specified time interval, the state of health (SOH) for at least one vehicle component, wherein the SOH for the at least one vehicle component is one of Green (normal operation), Yellow, and Red, calculating a number of consecutive Green SOH results for the at least one vehicle component, and providing an indication of likelihood that the at least one vehicle component is not a root cause of the exhibited vehicle failure based on the number of consecutive Green SOH results for the at least one vehicle component.

Abstract: A method and system of diagnosing and suggesting least probable faults for an exhibited vehicle failure. The method includes initiating a vehicle health management (VHM) algorithm to monitor a state of health (SOH) for at least one vehicle component at each vehicle operating event over a predetermined time period. The VHM algorithm determines at least one of a Green SOH, a Yellow SOH, and a Red SOH designation with a confidence level for the at least one vehicle component; calculating a number of Green SOH designations (Ncalculated) over the predetermined time period; and upon an exhibited vehicle failure, providing a least probable cause indication for the at least one component when a set of conditions are met. The set of conditions includes (i) Ncalculated is equal to or greater than a predetermined number of Green SOH designations and (ii) no Yellow SOH and Red SOH designations are present.

Abstract: A system and method of managing electrical energy consumption and generation of a vehicle. The method includes: determining a vehicle operation schedule for the vehicle, wherein the vehicle operation schedule includes one or more expected vehicle trips that each include a vehicle start location, a vehicle end location, and a time period; obtaining forecasted vehicle trip data based on the vehicle operation schedule; obtaining forecasted vehicle operation data pertaining to the vehicle operation schedule; determining a vehicle energy plan for the vehicle based on the forecasted vehicle trip data and the forecasted vehicle operation data; and causing the vehicle to carry out the vehicle energy plan during the vehicle operation schedule.

Abstract: A method of diagnosing a root cause for an exhibited vehicle failure, comprises initiating a vehicle health management (VHM) algorithm, repeatedly monitoring, at a specified time interval, the state of health (SOH) for at least one vehicle component, wherein the SOH for the at least one vehicle component is one of Green (normal operation), Yellow, and Red, calculating a number of consecutive Green SOH results for the at least one vehicle component, and providing an indication of likelihood that the at least one vehicle component is not a root cause of the exhibited vehicle failure based on the number of consecutive Green SOH results for the at least one vehicle component.

Abstract: In an example, a battery control system is disclosed. The battery control system can include a plurality of batteries, a first terminal, a second terminal, and a third terminal. The battery control system also includes a plurality of switches configured to connect a first battery of the plurality of batteries to and from the first terminal and the third terminal and to connect a second battery of the plurality of batteries to and from the second terminal and the third terminal. The battery control system also discloses a switch resistance modulation module configured to modulate a resistance of at least one switch of the plurality of switches between zero ohms and infinity ohms based on a battery parameter and a control signal.

Abstract: In an example, a battery control system is disclosed. The battery control system can include a plurality of batteries, a first terminal, a second terminal, and a third terminal. The battery control system also includes a plurality of switches configured to connect a first battery of the plurality of batteries to and from the first terminal and the third terminal and to connect a second battery of the plurality of batteries to and from the second terminal and the third terminal. The battery control system also discloses a switch resistance modulation module configured to modulate a resistance of at least one switch of the plurality of switches between zero ohms and infinity ohms based on a battery parameter and a control signal.

Abstract: An electrical system includes a direct current (DC) voltage bus, a power supply providing a supply voltage to the DC voltage bus, an electric machine connected to the power supply, a reverse current protection (RCP) circuit positioned between the power supply and the electric machine, the RCP circuit including an energy dissipating element, and a controller. As part of an associated method, the controller detects a reverse current condition in which a current flows from the electric machine toward the power supply when an induced voltage of the electric machine exceeds a voltage level of the voltage bus. The controller transmits a control signal to the RCP circuit to direct the electrical current through the energy dissipating element for a duration of the reverse current condition or for a predetermined duration equal to or greater than that of the reverse current condition.

Abstract: Methods and systems for monitoring no start events for vehicles are provided. In accordance with one embodiment, a vehicle includes an engine, a sensing unit, a processor, and a transmitter. The sensing unit is configured to measure one or more parameter values for a vehicle after a request has been made to start the engine. The processor is coupled to the sensing unit, and configured to determine when a no start event has occurred for the vehicle using the one or more parameter values. The transmitter is coupled to the processor, and is configured to transmit, to a remote server, a no start event history for the vehicle based on the determining by the processor.

Abstract: Methods and systems for monitoring no start events for vehicles are provided. In accordance with one embodiment, a vehicle includes an engine, a sensing unit, a processor, and a transmitter. The sensing unit is configured to measure one or more parameter values for a vehicle after a request has been made to start the engine. The processor is coupled to the sensing unit, and configured to determine when a no start event has occurred for the vehicle using the one or more parameter values. The transmitter is coupled to the processor, and is configured to transmit, to a remote server, a no start event history for the vehicle based on the determining by the processor.