1.

Record Nr.

UNINA9910712824103321

Autore

Cook Joshua

Titolo

Machine learning for planetary mining applications / / Joshua Cook, Jamshid Samareh

Pubbl/distr/stampa

Hampton, Virginia : , : National Aeronautics and Space Administration, Langley Research Center, , January 2020

Descrizione fisica

1 online resource (18 pages, 1 unnumbered page) : color illustrations

Collana

NASA/TM ; ; 2020-220439

Soggetti

Robotics

Problem solving

Controllers

Mining

Machine learning

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

"January 2020."

Nota di bibliografia

Includes bibliographical references (pages 17-18).



2.

Record Nr.

UNINA9911018662303321

Autore

Zhu Jiangong

Titolo

Alternating Current (AC) Heating for Lithium-Ion Batteries in Electric Vehicles : Heating Principles, Modeling, and Implementation / / by Jiangong Zhu, Ranjun Huang, Haifeng Dai

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025

ISBN

981-9690-71-4

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (364 pages)

Altri autori (Persone)

HuangRanjun

DaiHaifeng

Disciplina

629.2

Soggetti

Automotive engineering

Thermodynamics

Heat engineering

Heat - Transmission

Mass transfer

Electric batteries

Materials

Power electronics

Transportation engineering

Traffic engineering

Automotive Engineering

Engineering Thermodynamics, Heat and Mass Transfer

Batteries

Power Electronics

Transportation Technology and Traffic Engineering

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Chapter 1 Low-temperature performance of Lithium-ion batteries for Electric Vehicles -- Chapter 2 Battery Low-temperature degradation mechanisms -- Chapter 3 AC heating theory and principles.

Sommario/riassunto

This book provides a comprehensive and innovative exploration of low-temperature AC heating techniques for lithium-ion batteries,



addressing a critical challenge in electric vehicle (EV) performance. By integrating theoretical insights, experimental validations, and advanced modeling approaches, it offers a systematic framework to understand and optimize battery heating under cold conditions. The book introduces novel methodologies, such as square wave AC heating and impedance-based thermal analysis, which significantly enhance heating efficiency while mitigating degradation risks like lithium plating. With a focus on practical implementation, it also presents cutting-edge solutions for AC heating system design, including integrated charger and self-heating battery pack configurations.The intended readership includes researchers, engineers, and industry professionals in the fields of battery technology, electric vehicles, and thermal management systems. Written at an advanced level, the book bridges the gap between academic research and industrial applications, making it a valuable resource for both theoretical understanding and practical innovation.