Semantic Scholar Open Access 2014 567 sitasi

Charging infrastructure planning for promoting battery electric vehicles: An activity-based approach using multiday travel data

Jing Dong Changzheng Liu Zhenhong Lin

Lihat Sumber DOI

Abstrak

This paper studies electric vehicle charger location problems and analyzes the impact of public charging infrastructure deployment on increasing electric miles traveled, thus promoting battery electric vehicle (BEV) market penetration. An activity-based assessment method is proposed to evaluate BEV feasibility for the heterogeneous traveling population in the real world driving context. Genetic algorithm is applied to find (sub)optimal locations for siting public charging stations. A case study using the GPS-based travel survey data collected in the greater Seattle metropolitan area shows that electric miles and trips could be significantly increased by installing public chargers at popular destinations, with a reasonable infrastructure investment.

Topik & Kata Kunci

Engineering

Penulis (3)

Jing Dong

Changzheng Liu

Zhenhong Lin

Format Sitasi

APA MLA BibTeX

Dong, J., Liu, C., Lin, Z. (2014). Charging infrastructure planning for promoting battery electric vehicles: An activity-based approach using multiday travel data. https://doi.org/10.1016/J.TRC.2013.11.001

Akses Cepat

Lihat di Sumber doi.org/10.1016/J.TRC.2013.11.001

Informasi Jurnal

Tahun Terbit: 2014
Bahasa: en
Total Sitasi: 567×
Sumber Database: Semantic Scholar
DOI: 10.1016/J.TRC.2013.11.001
Akses: Open Access ✓