Control strategy research of auxiliary power unit in range-extended electric bus

Zhang, Hong; He, Zhaoyang; Wang, Yunlong

doi:10.1109/itec-ap.2014.6940739

Cited by 4 publications

(1 citation statement)

References 2 publications

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“…Current vehicle control strategies for E-REVs are focused on how to use the range-extender to improve vehicle performance in terms of energy conservation and emissions reduction. Studies on how to improve vehicle storage capacity for access to clean energy from the charging station are rare (Zhang and Yang, 2011;Qu et al, 2013;Zhang Hong et al, 2014;.…”

Section: Introductionmentioning

confidence: 99%

A charging management-based intelligent control strategy for extended-range electric vehicles

Song

Zhang

Yi³

et al. 2016

J. Zhejiang Univ. Sci. A

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Abstract:To fully take advantage of external charging conditions and reduce fuel consumption for extended-range electric vehicles, a charging management-based intelligent control strategy is proposed. The intelligent control strategy is applied to different driving patterns based on the various characteristics of urban roads. When the vehicle is driving on arterial roads, a constant power control strategy is applied. When the driver decides to go to a charging station, the extender-off time can be determined based on the current state of the vehicle and the distance to the charging station. When the vehicle is driving on an expressway, a power follower control strategy is applied. The range-extender engine is controlled to work over a wide variety of regions to obtain optimum fuel economy. The simulation results indicate that as the vehicle arrives at the charging station, the proposed charging management-based intelligent control strategy has made the state of charge reach the lowest permissible level after the driver made the decision to charge at the charging station. Therefore, the driver can charge the vehicle with as much clean electric energy as possible from the charging station.

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Section: Introductionmentioning

confidence: 99%