Large-Scale Battery System Development and User-Specific Driving Behavior Analysis for Emerging Electric-Drive Vehicles

Energies

Jie Wu³  Kun Li²  Yifei Jiang¹  Qin Lv¹  Li Shang² 

[1] Department of Computer Science, University of Colorado at Boulder, Boulder, CO 80309, USA; E-Mails:;Department of Electrical, Computer and Energy Engineering, University of Colorado at Boulder, Boulder, CO 80309, USA; E-Mails:;Institute of Microelectronics, Tsinghua University, Beijing 10084, China; E-Mail:

关键词: battery system;    user-specific driving pattern;    hybrid vehicle;    aging effect;   

DOI  :  10.3390/en4050758

来源: mdpi

【 摘 要 】

Emerging green-energy transportation, such as hybrid electric vehicles (HEVs) and plug-in HEVs (PHEVs), has a great potential for reduction of fuel consumption and greenhouse emissions. The lithium-ion battery system used in these vehicles, however, is bulky, expensive and unreliable, and has been the primary roadblock for transportation electrification. Meanwhile, few studies have considered user-specific driving behavior and its significant impact on (P)HEV fuel efficiency, battery system lifetime, and the environment. This paper presents a detailed investigation of battery system modeling and real-world user-specific driving behavior analysis for emerging electric-drive vehicles. The proposed model is fast to compute and accurate for analyzing battery system run-time and long-term cycle life with a focus on temperature dependent battery system capacity fading and variation. The proposed solution is validated against physical measurement using real-world user driving studies, and has been adopted to facilitate battery system design and optimization. Using the collected real-world hybrid vehicle and run-time driving data, we have also conducted detailed analytical studies of users’ specific driving patterns and their impacts on hybrid vehicle electric energy and fuel efficiency. This work provides a solid foundation for future energy control with emerging electric-drive applications.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland.