Abstract:
A system for monitoring a battery of a vehicle includes a processor and a memory storing instructions which when executed by the processor configure the processor to receive first features including statistics of internal resistances of a plurality of cell groups in a battery pack of the battery, compute second features for the battery pack based on the first features, determine whether the battery pack is faulty based on one or more of the second features, and determine, in response to the battery pack being faulty, whether one or more of the cell groups is faulty based on one or more of the first features.
Abstract:
Methods and systems for a remote transportation system including a first autonomous vehicle, at least one second autonomous vehicle and a remote transportation server are provided. The at least one second autonomous vehicle includes non-transitory computer readable media and one or more processors configured by programming instructions on the non-transitory computer readable media to: receive a request for tow service from the remote transportation server, wherein the request includes a location of the first autonomous vehicle; locate and identify the first autonomous vehicle based on the request; create a communicate link between the first autonomous vehicle and the second autonomous vehicle; select at least one of a centralized towing method and a projection-based towing method based on the request; and perform autonomous towing of the first autonomous vehicle based on the selected of the at least one of the centralized towing method and the projection-based towing method.
Abstract:
A vehicle including an internal combustion engine, a DC power source and a controller are described. The internal combustion engine includes an engine starting system and an electrical charging system. A method for monitoring the DC power source includes determining a State of Charge (SOC) for the DC power source. Upon detecting that the SOC is less than a threshold SOC, routines are executed in the controller to evaluate a plurality of potential root causes associated with the low SOC. At least one of the potential root causes associated with the low SOC may be identified as a candidate root cause, and a fault probability for each of the candidate root causes is determined. One of the candidate root causes is determined to be a final root cause based upon the fault probabilities associated with the candidate root causes.
Abstract:
An internal combustion engine employs a starting system. A method for evaluating the starting system includes determining a cranking resistance ratio between a starter and a battery of the starting system during engine cranking. The cranking resistance ratio is normalized based upon an operating temperature of the starting system, and the starting system is evaluated based upon the normalized cranking resistance ratio.
Abstract:
A controller area network (CAN) has a plurality of CAN elements including a communication bus and controllers. A method for monitoring the CAN includes identifying each of the controllers as one of an active controller and an inactive controller. A fault-active controller isolation process is executed to detect and isolate presence of a fault-active controller. A fault isolation process can be executed to detect and isolate presence of one of a wire open fault, a wire short fault and a controller fault when one of the controllers is identified as an inactive controller. Presence of a fault associated with a persistent bus disturbance in the CAN is detected when a bus error count is greater than a predetermined threshold continuously for a predetermined period of time.
Abstract:
A vehicle, system method for operating the vehicle is disclosed. The system includes a camera and a processor. The camera is configured to obtain a camera image of a road segment. The processor determines a location of a road edge for the road segment within the camera image, obtains a lane attribute for the road segment, generates a virtual lane mark for the road segment based on the road edge and the lane attribute, and moves the vehicle along the road segment by tracking the virtual lane mark.
Abstract:
An autonomous driving system for an autonomous vehicle includes a plurality of on-board autonomous sensors that sense data related to operation of the autonomous vehicle and a surrounding environment and an automated driving controller in electronic communication with the plurality of on-board autonomous sensors. The automated driving controller is instructed to receive an indication one or more of the plurality of on-board autonomous sensors are non-functional and a secondary autonomous sensor system including one or more replacement sensors are installed. The automated driving controller is instructed to verify the secondary autonomous sensor system based on a security check and perform a redundancy check between the one or more replacement sensors and the plurality of on-board autonomous sensors. In response to determining the one or more replacement sensors are valid based on the redundancy check, the automated driving controller operates the autonomous vehicle in a limp home mode.
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 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 scheduling controller in communication with a plurality of autonomous vehicles is described, and includes an operator request compiler, a fleet state-of-health database, an environmental conditions compiler and a fleet scheduling controller. The fleet scheduling controller is configured to deploy the autonomous vehicles based upon inputs from the operator request compiler, the fleet state-of-health database and the environmental conditions compiler. A process for coordinating a fleet of autonomous vehicles includes determining states of health for the autonomous vehicles, and determining a desired autonomous vehicle use requirement from each of a plurality of operators that are associated with the autonomous vehicles. A usage schedule for each of the autonomous vehicles is determined based upon the states of health and the desired autonomous vehicle use requirements from the operators. The autonomous vehicles are deployed based upon the usage schedule.