Motor drive software reduces energy consumption

February 15, 2013 by  
Filed under News, Product News


A new green technology developed by AC Kinetics, Inc.  can help eliminate as much as 26 million tons of carbon dioxide (CO2) annually while also reducing electricity usage by about 104 billion KwH.

“We have developed several algorithms for electric motor control that reduce energy consumption by 10% to 40%, while simultaneously improving motor performance,” explains Dr. Neil Singer, president of AC Kinetics, Inc. This next generation motor control is compatible with existing AC induction motor drive hardware and is now available for licensing.  It will debut at the ARPA-E Energy Innovation Summit in Washington DC, February 25-27.

Ford plans personal mobility research lab in Silicon Valley

January 6, 2012 by  
Filed under Company News, Industry News, News

Bookmark and Share

Ford announced plans to open its first dedicated research lab in Silicon Valley in the first quarter of 2012.

Ford President and CEO Alan Mulally will elaborate on the new areas of focus for the lab, plus Ford’s latest technologies including SYNC®, EcoBoost™, MyKey® and inflatable rear safety belts, in his Innovation Power Panel keynote at the 2012 Consumer Electronics Show (CES).

“An open attitude to new ideas is critical to solving the transportation, environmental and societal challenges we expect in the future,” said Paul Mascarenas, Ford chief technical officer and vice president of Research and Innovation. “With increasing pressures from urbanization and the need to reduce energy use, we’re going to see energy storage, wireless connectivity, sensing systems and even autonomous vehicles as key parts of the solution.”

MIT research project helps drivers avoid waiting at lights

August 25, 2011 by  
Filed under Industry News, News, Telematics

Bookmark and Share

Increasing fuel efficiency with a smartphone–A network of dashboard-mounted phones can collect data on traffic lights and tell drivers how to avoid inefficient stopping and starting.

Where previous experimental traffic-light advisory systems used GPS data or data from traffic sensors, SignalGuru uses visual data from cellphone cameras. Graphic: Christine Daniloff


Written by Larry Hardesty, MIT News Office