Applied Materials, Inc.

Guangzhou Automobile Group Co., Ltd.

Yizhen Zhang

Jay D Pinson, Ii

Yonggang Xu

Jason M Schaller

Jingmei Liang

Xiong Zhang

DongQing Li

Daemian Raj

Hanish Kumar Panavalappil Kumarankutty

Rupankar Choudhury

Jin Shang

Ying Ma

Dao Hoang Ho

Tonatiuh Rangel

Ying Fu

A method and a system for predicting battery health based on distance driven on a full battery load with machine learning model are provided. The method includes: obtaining historical vehicle telematics of vehicles, wherein the historical vehicle telematics comprise at least one of the following: odometer readings, battery SOC, vehicle speed, battery-module temperatures, and battery-cell voltages; creating a distance driven model according to a relationship between a distance driven on a full battery load of vehicles and the historical vehicle telematics; obtaining a distance driven on a full battery load of a vehicle based on the distance driven model by using real-time vehicle telematics of the vehicle as model input; predicting battery health of the vehicle by comparing the obtained distance with a reference distance value.

Method and system for predicting battery health with machine learning model

A method and system for estimating a battery pack balance state of a new energy vehicle are provided. The method includes: acquiring an actual cell voltage difference measured for a battery pack of a new energy vehicle, and acquiring one or more operation condition parameters for an operation condition under which the actual cell voltage difference is measured, wherein the actual cell voltage difference is the difference between the maximum and minimum battery cell voltages within the battery pack; determining an expected cell voltage difference according to a model based on the one or more operation condition parameters; determining a compensated cell voltage difference according to the actual cell voltage difference and the expected cell voltage difference; and estimating a battery pack balance state of the new energy vehicle according to the compensated cell voltage difference.

Method and system for estimating battery pack balance state of new energy vehicle

Implementations described herein generally relate to an apparatus for forming flowable films. In one implementation, the apparatus is a processing chamber including a first RPS coupled to a lid of the processing chamber and a second RPS coupled to a side wall of the processing chamber. The first RPS is utilized for delivering deposition radicals into a processing region in the processing chamber and the second RPS is utilized for delivering cleaning radicals into the processing region. The processing chamber further includes a radical delivery ring disposed between a showerhead and a substrate support for delivering cleaning radicals from the second RPS into the processing region. Having separate RPSs for deposition and clean along with introducing radicals from the RPSs into the processing region using separate delivery channels minimizes cross contamination and cyclic change on the RPSs, leading to improved deposition rate drifting and particle performance.

Integration of dual remote plasmas sources for flowable CVD

Embodiments described herein include integrated systems used to directly monitor a substrate temperature during a plasma enhanced deposition process and methods related thereto. In one embodiment, a substrate support assembly includes a support shaft, a substrate support disposed on the support shaft, and a substrate temperature monitoring system for measuring a temperature of a substrate to be disposed on the substrate support. The substrate temperature monitoring system includes a optical fiber tube, a light guide coupled to the optical fiber tube, and a cooling assembly disposed about a junction of the optical fiber tube and the light guide. Herein, at least a portion of the light guide is disposed in an opening extending through the support shaft and into the substrate support and the cooling assembly maintains the optical fiber tube at a temperature of less than about 100&#xb0; C. during substrate processing.

Integrated substrate temperature measurement on high temperature ceramic heater

Growing community of inventors

San Jose, CA, United States of America

Yizhen Zhang