公开(公告)号：US12095920B2

公开(公告)日：2024-09-17

申请号：US17185607

申请日：2021-02-25

申请人： OLA ELECTRIC MOBILITY LIMITED

发明人： Jeevan Visvesha ,  Sathya Narayanan Nagarajan

IPC分类号： H04L9/32 ,  H01M10/48 ,  H04L12/40

CPC分类号： H04L9/3228 ,  H01M10/48 ,  H04L12/40 ,  H01M2220/20 ,  H04L2012/40215 ,  H04L2012/40273 ,  H04L2209/84

摘要： An offline authentication of batteries includes communicating an encrypted authentication request to secondary batteries and a vehicle controller by a primary battery of an electric vehicle. The encrypted authentication request is decrypted to obtain a first random number and a fleet flag. An encrypted authentication response, including a first random number, a second random number, and a vehicle identifier, is communicated to each battery. Each battery verifies the first random number and the vehicle identifier. An encrypted battery status, including the first and second random numbers and an authentication status, is communicated to the primary battery that verifies the first and second random number and the authentication status. The primary battery communicates an encrypted authentication message to the secondary batteries and the vehicle controller. The secondary batteries and the vehicle controller verify the first and second random numbers and the authentication status for authenticating each battery.

公开(公告)号：US20240346640A1

公开(公告)日：2024-10-17

申请号：US18699263

申请日：2022-10-07

申请人： OLA ELECTRIC MOBILITY LIMITED

发明人： Hitesh HINDUJA ,  Gaurav AGARWAL ,  Abhishek TRIVEDI ,  Mohammad AHMAD

IPC分类号： G06T7/00 ,  G05B23/02 ,  G06V10/25 ,  G06V10/62 ,  G06V10/764

CPC分类号： G06T7/0004 ,  G05B23/0283 ,  G06V10/25 ,  G06V10/62 ,  G06V10/764 ,  G06T2207/20081 ,  G06T2207/30252

摘要： A damage assessment method is provided. The method comprises recognizing a region of interest in an image that corresponds to a visible damage inflicted on a target object. The method further comprises determining a first plurality of feature values for a plurality of image features based on the recognized region of interest. The method further comprises retrieving, from a memory, time-series information that indicates a usage pattern of the target object and determining a second plurality of feature values for a plurality of usage features based on the retrieved time-series information. The method further comprises providing the first plurality of feature values and the second plurality of feature values as input to a trained classifier and predicting a true age of the visible damage based on a classification output of the trained classifier for the first plurality of feature values and the second plurality of feature values.