Aiming to create a new standard for next-generation batteries for notebook
and handheld computers that can handle the demands placed on today’s
hardware, the Institute of Electrical and Electronics Engineers (IEEE)
Wednesday issued the first full draft of a new specification.
IEEE P1625, “Standard for Rechargeable Batteries for Mobile Computers,”
seeks to take a “systems approach” to improving the reliability of
next-generation Lithium-Ion and Lithium-Ion polymer batteries, in order to
make those batteries more capable of handling the demands of the latest
hardware technologies, like the need for more power and greater energy
density, and the ability to withstand more frequent charge-discharge
cycles. The specification also aims to help the next-generation batteries
tolerate usage styles that can cause higher operating temperatures and
exposure to mechanical shock, vibration and other stresses.
“Other battery standards tend to emphasize the cell or the pack,” said Jeff
Layton, chairman of the IEEE P1625 Working Group. “This will be the first
standard that seeks to improve the experience by addressing the entire
system from individual cells to the overall device. This approach makes a
lot of sense because the interactions between the battery cell, battery
pack, and computer require a close look at the operating envelope for all
elements alone and in concert.”
The IEEE added that the specification seeks to improve battery reliability
by accounting for multi-fault scenarios. The organization said that
involves examining all relevant battery and system design margins in
combination in order to minimize the risks users might face if the battery
failed “under intended use or reasonably foreseeable misuse conditions.”
Layton said IEEE P1625 will be a voluntary standard that specifies the
minimum guidelines for the design, validation, manufacture and testing of
battery cells and packs, as well as the computer itself.
“It will address such areas as qualification, manufacturing process
control, lithium-ion battery chemistries, packaging and end-user
notification,” Layton said.
The IEEE said the draft standard is based on the experience of industry
leaders involved in mobile computer cells, packs and systems. The working
group itself has 18 members, including: Battery-Biz, Compal, Dell,
Dynapack, Fedco Electronics, Hewlett-Packard, IBM, Inventec, Motorola,
National Semiconductor, Panasonic, Quanta, Samsung, Sanyo, Sony, Solectron,
Texas Instruments and Wistron.
The specification’s status as a full draft indicates it has been completed,
and is now circulating among the working group’s member companies for
comment. Once those comments have been incorporated in the draft, the IEEE
said it expects to issue a revised draft for broader industry review in
October. The organization aims to complete the standard in the first half
of 2004.
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2021
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.