WO2024246597 - ESTIMATING A CONFIGURATION OF CHARGING INFRASTRUCTURE FOR VEHICLE FLEETS

National phase entry is expected:
Publication Number WO/2024/246597
Publication Date 05.12.2024
International Application No. PCT/IB2023/058943
International Filing Date 09.09.2023
Title **
[English] ESTIMATING A CONFIGURATION OF CHARGING INFRASTRUCTURE FOR VEHICLE FLEETS
[French] ESTIMATION D'UNE CONFIGURATION D'INFRASTRUCTURE DE CHARGE POUR FLOTTES DE VÉHICULES
Applicants **
DAIMLER TRUCK AG, GERMANY
Inventors
KULSHRESTHA, Shlok
MUNIRAJAPPA, Chandrashekara
SHRIVASTAVA, Himanshu
SALAH EL DIN, Florian
VEDULA, Sashank
PRASAD, Slilpa P.
VIJAYARAGHAVAN, Satish
AGASHE, Shrirang
KANNAPPAN, Pazhanivel
Priority Data
202311037742   01.06.2023   IN
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Quotation for National Phase entry

Country StagesTotal
China Filing, Examination, Granting2367
EPO Filing, Examination, Granting11430
Japan Filing, Examination, Granting2309
South Korea Filing, Examination, Granting2385
USA Filing, Examination, Granting4740
MasterCard Visa
Total: 23,231

The term for entry into the National Phase has expired. This quotation is for informational purposes only

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Abstract[English] The present disclosure provides systems and methods for determining configurations for charging infrastructure for vehicle fleets based on received user inputs and estimated load demand. The disclosed examples include carrying out a probabilistic load simulation for a number of vehicles in the fleet to determine a probabilistic load demand. Further, the disclosed examples include obtaining one or more inputs associated with the charging infrastructure and associated configuration settings, and then mapping the one or more obtained inputs with the determined probabilistic load demand. The disclosed examples further include carrying out optimization of the charging infrastructure taking into consideration the obtained one or more obtained inputs that are mapped with the determined probabilistic load demand.[French] La présente invention concerne des systèmes et des procédés pour déterminer des configurations pour une infrastructure de charge pour des flottes de véhicules sur la base d'entrées d'utilisateur reçues et d'une demande de charge estimée. Les exemples décrits comprennent la réalisation d'une simulation de charge probabiliste pour un certain nombre de véhicules dans la flotte pour déterminer une demande de charge probabiliste. En outre, les exemples décrits consistent à obtenir une ou plusieurs entrées associées à l'infrastructure de charge et des paramètres de configuration associés, puis à mapper la ou les entrées obtenues avec la demande de charge probabiliste déterminée. Les exemples décrits comprennent en outre la réalisation d'une optimisation de l'infrastructure de charge en prenant en considération la ou les entrées obtenues qui sont mappées avec la demande de charge probabiliste déterminée.