期刊
JOURNAL OF CLEANER PRODUCTION
卷 186, 期 -, 页码 865-876出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2018.03.180
关键词
Electric vehicles; Electric-hydraulic hybrid steering; Energy flow analysis; Parameter optimization; Multi-objective
资金
- National Natural Science Foundation of China [51775268]
- Graduate Innovation Base (Laboratory) Open Fund of Nanjing University of Aeronautics and Astronautics [kfjj20170203]
- Natural Science Foundation of Jiangsu Province [BK20151472]
The on-board battery is the primary energy storage device of the electric vehicle that provides power to drive all actuators of the chassis, i.e., the energy consumption of each actuator has a direct impact on the vehicle's energy management system. To reduce energy consumption while steering and improve the handling stability of electric vehicles, a novel electric hydraulic hybrid steering (E-HHPS) system with multiple steering modes is presented herein. The electric power mode is used to reduce the overall energy consumption of the system by adaptive intervention, whereas the hybrid power mode is responsible for the steering portability in conditions of increased steering torque. To further improve the performance of the E-HHPS system, the structural parameter optimization model of the E-HHPS system is established based on the consideration of the steering economy, steering road feeling, and steering sensitivity. To solve the multi-objective optimization problem with characteristics of increased dimensions, a shuffled particle swarm optimization algorithm (SPSO) is proposed to realize a combination of a local search and global information exchange. The simulation results demonstrate that compared with the HIPS system, the E-HHPS system has a better steering economy at low vehicular speeds. In addition, the E-HFIPS system optimized by the SPSO algorithm can considerably reduce the steering energy consumption and noticeably improve the handling performance of the vehicle. (C) 2018 Elsevier Ltd. All rights reserved.
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