WO2025169215 - PREDICTION OF DRIVING RANGE OF VEHICLE
National phase entry is expected:
Publication Number
WO/2025/169215
Publication Date
14.08.2025
International Application No.
PCT/IN2024/052345
International Filing Date
06.12.2024
Title **
[English]
PREDICTION OF DRIVING RANGE OF VEHICLE
[French]
PRÉDICTION D'AUTONOMIE DE CONDUITE D'UN VÉHICULE
Applicants **
TVS MOTOR COMPANY LIMITED
Inventors
GOMEZ, Jude Dominic
VISHAL, Prasad
CHIPPA, Sunil Kumar
Priority Data
202441009049
10.02.2024
IN
Application details
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International Searching Authority |
IP India
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| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
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| Type of Assignment |
The Standard Agent's Assignment
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| Applicant's Legal Status |
Legal Entity
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| Entry into National Phase under |
Chapter I
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| Patent Delivery |
Send the Letters Patent by Courier
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| Translation |
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* The data is based on automatic recognition. Please verify and amend if necessary.
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Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 2106 | |
| EPO | Filing, Examination, Granting | 11587 | |
| Japan | Filing, Examination, Granting | 2178 | |
| South Korea | Filing, Examination, Granting | 2107 | |
| USA | Filing, Examination, Granting | 4740 |
Total:
22,718
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Abstract[English]
The present invention provides a method and a system for predicting a driving range of a vehicle. The method comprises receiving, by a processor, a first dataset associated with a set of parameters of the vehicle for a first time 5 duration. The method comprises training, by the processor, a machine learning model (224) based on the received first dataset. The method comprises receiving a second dataset associated with the set of parameters of the vehicle, wherein the second dataset comprises real-time information associated with the set of parameters. The method comprises applying the 10 trained machine learning model (224) on the received second dataset. The method comprises predicting the driving range based on the application of the trained machine learning model (224) on the second dataset. The method comprises rendering the predicted driving range on the vehicle.[French]
La présente invention concerne un procédé et un système permettant de prédire une autonomie de conduite d'un véhicule. Le procédé consiste à recevoir, au moyen d'un processeur, un premier ensemble de données associé à un ensemble de paramètres du véhicule pendant une première durée. Le procédé consiste à entraîner, au moyen du processeur, un modèle d'apprentissage automatique (224) sur la base du premier ensemble de données reçu. Le procédé consiste à recevoir un second ensemble de données associé à l'ensemble de paramètres du véhicule, le second ensemble de données comportant des informations en temps réel associées à l'ensemble de paramètres. Le procédé consiste à appliquer le modèle d'apprentissage automatique (224) entraîné sur le second ensemble de données reçu. Le procédé consiste à prédire l'autonomie de conduite sur la base de l'application du modèle d'apprentissage automatique (224) entraîné sur le second ensemble de données. Le procédé consiste à restituer l'autonomie de conduite prédite sur le véhicule.