Congratulations to Dartmouth's Formula Hybrid on Winning the 2018 ABET Innovation Award
Dartmouth’s Formula Hybrid Wins Coveted Award Recognized by ABET for Innovations in Engineering &...
Now Available! The March 2018 TEC eNewsletter
The March 2018 issue of the TEC...
Check out the December 2017 TEC eNewsletter, now available!
The December 2017 issue of the TEC eNewsletter is now available.IN THIS ISSUE: From the...
CFP: IEEE Transactions on Transportation Electrification (TTE) Special Issue on Electric Machine Design and Numerical Optimization
Modern transportation systems have seen a considerable increase in electrification. This has led...
2018 Newly Elected IEEE Fellows
IEEE Fellow is a distinction reserved for select IEEE members whose extraordinary accomplishments...
20% Discount for TEC Members for TEC eLearning Courses
As a member of the IEEE Transportation Electrification Community you are entitled to a 20%...
Published by Wards Auto
Leveraging this outside information via predictive energy management strategies has been shown to boost the energy efficiency of PHEVs on the order of about 20 to 30%.
By Matthew Barth
Your plug-in hybrid electric vehicle probably has a range of onboard sensors that are collecting a variety of information about what is happening across and within it. The PHEV leverages that intelligence, then, in decision making about when to draw energy from its internal-combustion engine or the battery-powered electric motor.
Presented by IEEE Transportation Electrification Community
Vehicle Cyber Security: Where the Rubber Meets the Code
Wednesday, October 17, 2018 - 11:00am ET - 12:00pm ET
Presenter: Dr. Stacy Prowell, Chief Cyber Security Research Scientist, Oak Ridge National Laboratory