Analysis of detailed electric vehicle data in electrical engineering education
There is a large quantity of data available on the CAN bus of the Chevrolet Volt that can be obtained through the OBD2 connectors on both the passenger and driver side of the vehicle. Although much of this is not available on the console of the vehicle to passengers, it can be logged and collected to analyse various vehicle performance measures and behaviours as well as charging characteristics. A set of pertinent data has been collected simultaneously for approximately 40 vehicle parameters for numerous trips and charging events for the 2012 Chevrolet Volt. Some of the key parameters are battery voltage, battery current, motor currents, state of charge, engine rpm, vehicle speed, longitude, latitude, altitude, battery power, motor power, etc. This data has been used as a learning tool in the electrical engineering classroom for senior students in both advanced machine courses and in sustainable energy courses. Through analysis the students develop a better understanding of general electric vehicle operation principles and energy useage and management. They also develop problem solving skills and experience with analysing large data sets (certain trips have over 15 million data points) and using appropriate tools to perform large but repetitive tasks.
Engineering And Technology Education For Electric Vehicle Development
During 2011 electric vehicles will be mass produced for the first time in history. Current engineering students will play key roles in the development of the Smart Grid and electric vehicles. Unfortunately many of these same students already fail to see a link between what they are currently learning in the classroom and their role as a professional engineer. The energy engineering community needs to determine topics and instructional techniques that will help students connect their classroom experiences with the future opportunities they will encounter in the unfolding development of the electric vehicle and its supporting infrastructure. This paper reviews electric vehicle development as well as examples of previous learning experiences and Economic Stimulus funded initiatives for electric vehicle course and curriculum development. The paper also provides an overview of the electric vehicle drive train and corresponding engineering roles and skills, and reviews recent employment descriptions of what industry expects. Prospective curriculum items are discussed including identifying major topical areas for electric vehicle courses and a specific topical outline for an introductory electric vehicle course. Finally, the paper forecasts the need for resources including facilities, laboratory equipment and faculty development in this area.
ANALYSIS OF BOLT′S ANCHORING QUALITY BASED ON WAVELET NEURAL NETWORK
The dynamic response of bolt achieved by impact-echo method can be effected easily by some factors.It′s difficult to classify bolt′s anchoring quality according to the dynamic response of bolt.In this paper,a new analytical method of bolt′s dynamic response is put forward.The new analytical method combing with advantages of wavelet analysis and artificial neural network is presented.Firstly,the dynamic response of bolt by numerical simulation software FLAC3D is obtained.Secondlyt,he features are extracted from the dynamic response of bolt by wavelet analysis.Thirdlyt,hese features are fed into the artificial neural network for training.Finallyt,his artificial neural network to classify the bolt′s anchoring quality intelligent according to the dynamic response of bolt is employed.In order to validate this new analytical method,some practical signals of bolt′s dynamic response are used for the test.The results indicate that the new analytical method is practicable.