BATTERY ASSEMBLY STATE-OF-CHARGE ESTIMATION

    公开(公告)号:US20250102585A1

    公开(公告)日:2025-03-27

    申请号:US18475363

    申请日:2023-09-27

    Abstract: A system for estimating a state-of-charge of a battery assembly includes a sensor cell and an estimator circuit. The sensor cell is coupled in series to the battery assembly. The battery assembly has an assembly battery chemistry and the sensor cell has a sensor battery chemistry, and the assembly battery chemistry is different than the sensor battery chemistry. The estimator circuit is operational to acquire a sequence of current sensor cell state-of-charges based on a sensor cell model and a sequence of sensor voltages across the sensor cell, calculate a sequence of current battery assembly state-of-charges based on the sequence of current sensor cell state-of-charges, and calculate an estimated battery assembly state-of-charge of the battery assembly and an estimated sensor cell state-of-charge of the sensor cell by filtering in parallel the sequence of current battery assembly state-of-charges and the sequence of current sensor cell state-of-charges.

    Traffic-info-incorporated NNT driver model for EV trip energy prediction

    公开(公告)号:US12152893B2

    公开(公告)日:2024-11-26

    申请号:US17700996

    申请日:2022-03-22

    Abstract: A trip energy estimation system for a vehicle includes a traffic speed module configured to determine an average traffic speed along a projected route, a path information module configured to output path information indicating route features along the projected route, a perceived speed module configured to output a perceived vehicle speed along the projected route based on the average traffic speed and the path information, and a dynamic driving module configured to calculate and output a predicted driver speed based on the perceived vehicle speed and a feedback input indicative of the predicted driver speed. The dynamic driving module is configured to execute a machine learning algorithm to calculate the predicted driver speed.

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