Personalized Mobile Sensing System Development for Emerging Electric-Drive Vehicles

Abstract:

Emerging green-energy cyber-physical systems (CPS), in particular electric-drive vehicles (PHEV, HEV, and EV), have demonstrated great potentials to significantly reduce greenhouse gas emissions and the ever-growing dependence on foreign oil. Few studies have focused on the user-specific driving behavior and its significant impact on electric-drive vehicles fuel efficiency, battery system life-cycle and the environment. This paper presents a personalized mobile sensing system development for the emerging green-energy CPS, which captures user’s run-time driving behavior and characterizes its impact on (P)HEV operations. The proposed sensing computing system has been deployed in a number of PHEVs and HEVs, with user studies of four different drivers and over 150 driving trips under various road and traffic conditions. Using the extracted real-world hybrid vehicle and user driving data, we have conducted detailed analytical studies of users’ specific driving patterns and their impacts on hybrid vehicle electric energy and fuel efficiency.

• Periodical: Advanced Materials Research (Volumes 466-467)
• Pages: 1310-1314
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.466-467.1310
• Online since: February 2012
• Authors: Jie Wu, Yi He Sun
• Keywords: Hybrid Vehicle, Personalized Mobile Sensing, User-Specific Driving.

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