By Topic

DSP Applications in Electric and Hybrid Electric Vehicles [In the Spotlight]

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Bilal Akin ; Texas Instrument, Houston, USA ; Seungdeog Choi ; Hamid A. Toliyat

As reported by the Web site CBS MoneyWatch [1], electric vehicles are seeing a steady growth in consumer interest, especially within the youngest age group of potential buyers. As is the case with all vehicles, it is very important and even required to continuously monitor its vital equipment. Therefore, today almost all vehicles are equipped with an onboard diagnosis (OBD) system. This system is used for warnings and monitoring critical failures in the vehicle such as ignition, battery, oil and gasoline level, engine, and brakes, among others. If a problem or malfunction is detected, the OBD system sets a malfunction indicator light (MIL) on the dashboard that is readily visible to the vehicle operator and informs the driver of the existing problem. The OBD is a valuable tool that assists in the service and repair of vehicles by providing a simple, quick, and effective way to pinpoint problems by retrieving vital automobile diagnostics. In the case of vehicles with electric motors, the detection of faults expectedly differs from that in vehicles with gasoline engines. This article will describe DSP techniques using Texas Instruments TMS320F2812 signal processor to achieve this.

Published in:

IEEE Signal Processing Magazine  (Volume:29 ,  Issue: 3 )