Search

The primary goal of engineering outreach is to attract prospective students to engineering education and the engineering profession. Gifted students, especially those identified as possessing unusually high abilities in science and technology, are especially promising students to attract to careers in engineering. It is critical to cultivate these students' interests and develop their potential for engineering while encouraging them to pursue engineering studies beyond K-12 education. This article presents examples of the successful learning outcomes of an ongoing University-based Electronics Technology Project Study (UETPS) program, a joint endeavor between the IEEE Hong Kong Section, the Education Bureau of the Hong Kong SAR Government, and the Hong Kong Academy of Gifted Education (HKAGE). The UETPS program promotes electrical, electronic, and computer engineering education in Hong Kong and is aimed particularly at gifted students as well as their parents, teachers, and schools. Project applicants underwent formal identification procedures by the Gifted Education Section of the HKSAR Education Bureau and were identified as being gifted in the area of science and technology. Selected participants then participated in one-year research projects in electronics and computer engineering under the guidance of university professors in their respective engineering departments. This program addresses an urgent need of the engineering education sector by reaching out to highly talented K-12 students and their surrounding communities. According to the evaluation results, the UETPS program has significantly enhanced the participating students' interest in engineering as a career choice and encouraged them to pursue undergraduate studies in engineering. This article also discusses lessons learned and proposes strategies for future potential implementers. (Contains 3 tables and 5 figures.)

The primary goal of engineering outreach is to attract prospective students to engineering education and the engineering profession. Gifted students, especially those identified as possessing unusually high abilities in science and technology, are especially promising students to attract to careers in engineering. It is critical to cultivate these students' interests and develop their potential for engineering while encouraging them to pursue engineering studies beyond K-12 education. This article presents examples of the successful learning outcomes of an ongoing University-based Electronics Technology Project Study (UETPS) program, a joint endeavor between the IEEE Hong Kong Section, the Education Bureau of the Hong Kong SAR Government, and the Hong Kong Academy of Gifted Education (HKAGE). The UETPS program promotes electrical, electronic, and computer engineering education in Hong Kong and is aimed particularly at gifted students as well as their parents, teachers, and schools. Project applicants underwent formal identification procedures by the Gifted Education Section of the HKSAR Education Bureau and were identified as being gifted in the area of science and technology. Selected participants then participated in one-year research projects in electronics and computer engineering under the guidance of university professors in their respective engineering departments. This program addresses an urgent need of the engineering education sector by reaching out to highly talented K-12 students and their surrounding communities. According to the evaluation results, the UETPS program has significantly enhanced the participating students' interest in engineering as a career choice and encouraged them to pursue undergraduate studies in engineering. This article also discusses lessons learned and proposes strategies for future potential implementers. [ABSTRACT FROM AUTHOR]

This paper presents a new estimation approach for the battery residual capacity (BRC) indicator in electric vehicles (EVs). The key of this approach is to model the EV battery by using a neural network (NN) with a newly defined output and newly proposed inputs. The inputs are the discharged and regenerative capacity distribution and the temperature. The output is the state of available capacity (SOAC) which represents the BRC. Various SOACs of the nickel-metal hydride (Ni-MH) battery are experimentally investigated under different EV discharge current profiles and temperatures. The corresponding data are recorded to train and verify the proposed NN. The results indicate that the NN can provide an accurate and effective estimation of the BRC. Moreover, this NN can be easily implemented as the BRC indicator or estimator for EVs by using a low-cost microcontroller. [ABSTRACT FROM AUTHOR]