An energy management of plug-in hybrid electric vehicles based on driver behavior and road information

作者：Liu, Gengchen^*; Zhang, Jianwu

来源：Journal of Intelligent and Fuzzy Systems, 2017, 33(5): 3009-3020.

DOI：10.3233/JIFS-169352

• Equivalent Consumption Minimization Strategy (ECMS)
• Intelligent Transport System (ITS)
• equivalent factor
• fuzzy logic
• traffic flow theory

Plug-in hybrid electric vehicles (PHEVs) provide the flexibility to be used as pure electric vehicles in daily commuting, as well as common hybrid vehicles (HEVs) on longer trips. To appropriately distribute power between the engine and the energy buffer (normally battery) without sacrificing fuel economy, optimal control strategies of varies kinds have been proposed in recent years. Some strategies, however, cannot be applied in real time environment for the tightly independent on the future driving information. Some others could identify the different road condition but the identification accuracy is questionable, making their real-world effectiveness could suffer significantly. Moreover, the proposed energy management method seldom consider the effect from the driver behavior, which is an essential factor that can determine the vehicle energy consumption. For such reasons, this paper proposes a novel energy management strategy, the instantaneous optimization method-Equivalent Consumption Minimization Strategy (ECMS) is chosen as the foundation solution to the PHEV energy management problem. Then the paper studies the effect from different driver behavior and uses fuzzy logic method to identify different drive behavior. Combined with the pre-knowledge provide by Intelligent Transport System (ITS), the equivalent factor, which is the core of ECMS, is adjusted, making the real instantaneous application of ECMS. Then the simulation is performed to prove its viability and effectiveness.

• 出版日期2017
• 单位上海交通大学