In order to reduce fuel consumption and the deviation between final battery state-of-charge (SOC) value target at same time, a novel double-layer multi-objective optimization method is proposed, which adopts an improved ant colony (ACO) algorithm equivalent minimization strategy (ECMS) considering mode switching. The proposed two-layer structure. inner layer, ECMS switching was adopted optimize...

train energy saving problem investigates how to control train's velocity such that the quantity of energy consumption is minimized and some system constraints are satis ed. on the assumption that the train's weights on different links are estimated by fuzzy variables when making the train scheduling strategy, we study the fuzzy train energy saving problem. first, we propose a fuzzy energy ...

Continued increases in the emission of greenhouse gases by passenger vehicles have accelerated production hybrid electric vehicles. With this increase production, there has been a parallel demand for continuously improving strategies vehicle control. The goal an ideal control strategy is to maximize fuel economy while minimizing emissions. Methods exist which globally optimal may be found. Howe...

This paper presents a new Fuel Cell Consumption Minimization Strategy (FCFCMS) for Hybrid Electric Vehicles (HEVs) powered by fuel cell and an energy storage system, in order to minimize as much possible the consumption of hydrogen while maintaining State Of Charge (SOC) battery. Compared existing Energy Management Strategies (EMSs) (such well-known Machine (SMC), Fuzzy Logic Control (FLC), Fre...

Abstract: This paper presents a new energy management system based on equivalent consumption minimization strategy (ECMS) for hybrid electric vehicles. The aim is to enhance fuel economy and impose state of charge (SoC) charge-sustainability. First, the relationship between the equivalent factor (EF) of ECMS and the co-state of pontryagin’s minimum principle (PMP) is derived. Second, a new meth...

Reinforcement Learning (RL) is widely utilized in the field of robotics, and as such, it gradually being implemented Hybrid Electric Vehicle (HEV) supervisory control. Even though RL exhibits excellent performance terms fuel consumption minimization simulation, large learning iteration number needs a long time, making hardly applicable real-world vehicles. In addition, initial phases much worse...

The fuel cell system (FCS) is commonly combined with an energy storage (ESS) for enhancing the performance of ship. Consequently, battery ESS size and power allocation strategy are critical hybrid system. This paper focuses on designing a method to solve these two problems. First, degradation model employed assess lifetime. Subsequently, sizing problem optimal integrated into cost-minimization ...

Range-extended Electric Vehicles (REVs) have become popular due to their lack of emissions while driving in urban areas, and the elimination range anxiety when traveling long distances with a combustion engine as power source. The fuel consumption performance REVs depends greatly on energy management strategy (EMS). This article proposes practical solution for based an Adaptive Equivalent Fuel ...