BATTERY STATE OF HEALTH ESTIMATION BASED ON REAL-TIME DATA

In some examples, a system may determine route information for a route to be traversed by a vehicle from a start location to a destination location, the vehicle including a battery having a state of health. The system receives discharge data corresponding to traversal of the vehicle along the route,...

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Hauptverfasser: KUNDU, Subrata Kumar, ABBARAJU, Praveen, ZHU, Xiaoliang
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Sprache:eng
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creator KUNDU, Subrata Kumar
ABBARAJU, Praveen
ZHU, Xiaoliang
description In some examples, a system may determine route information for a route to be traversed by a vehicle from a start location to a destination location, the vehicle including a battery having a state of health. The system receives discharge data corresponding to traversal of the vehicle along the route, the discharge data indicative of a rate of discharge of the battery at a plurality of locations along the route. Based on the received discharge data, the system at least one of trains or updates a first machine learning model configured for predicting the state of health of the battery. The vehicle may determine an estimated battery state of health based at least on the first machine learning model, and may receive control information while traversing the route based on the estimated battery state of health to at least partially minimize battery degradation during traversal of the route.
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subjects CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION
CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES
ELECTRIC EQUIPMENT OR PROPULSION OF ELECTRICALLY-PROPELLEDVEHICLES
ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES, IN GENERAL
MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES
MEASURING
MEASURING ELECTRIC VARIABLES
MEASURING MAGNETIC VARIABLES
PERFORMING OPERATIONS
PHYSICS
ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT
TESTING
TRANSPORTING
VEHICLES IN GENERAL
title BATTERY STATE OF HEALTH ESTIMATION BASED ON REAL-TIME DATA
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