31-01-2019 дата публикации
Номер: US20190035170A1
A method includes collecting, via processing circuitry, a first set of multi-load data from a power control unit of a vehicle and usage data at a first servicing of the vehicle, computing, via the processing circuitry, a Mahalanobis Distance (MD) using the first set of multi-load data, defining, via the processing circuitry, a healthy state and an anomaly threshold based on the MD, correlating, via the processing circuitry, the first set of usage data to the anomaly threshold; generating, via the processing circuitry, a usage based servicing schedule for a vehicle; collecting, via the processing circuitry, a next set of multi-load data and usage data at a next servicing of the vehicle; updating, via the processing circuitry, the MD, a servicing schedule and evaluating the performance of the vehicle; determining, via the processing circuitry, whether the MD crosses the anomaly threshold; and transmitting, via a network, a servicing alert. 1. A method for generating a servicing schedule of an electrified vehicle , the method comprising:collecting, via processing circuitry, a first set of multi-load data from a power control unit of a vehicle and usage data at a first servicing of the vehicle;computing, via the processing circuitry, a Mahalanobis Distance (MD) using the first set of multi-load data;defining, via the processing circuitry, a healthy state and an anomaly threshold based on the MD;correlating, via the processing circuitry, the first set of usage data to the anomaly threshold;generating, via the processing circuitry, a usage based servicing schedule for a vehicle;collecting, via the processing circuitry, a next set of multi-load data and usage data at a next servicing of the vehicle;updating, via the processing circuitry, the MD, a servicing schedule and evaluating the performance of the vehicle;determining, via the processing circuitry, whether the MD crosses the anomaly threshold; andtransmitting, via a network, a servicing alert upon exceeding the ...
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