Implementation of an Energy Management Strategy with Drivability Constraints for a Dual-Motor Electric Vehicle

This paper presents a real-time energy management strategy to distribute the power demand between two independent motors properly. Based on the characteristics of the novel transmission system, an enumeration-based searching approach is used to hunt for the optimal working points for both motors to maximize the overall efficiency. Like many energy management strategies, approaches that focus on reducing energy consumption can result in frequent gearshifts. To improve drivability and make a balance between energy consumption and gearshifts, a cost function is designed. To verify the effectiveness of the proposed method, a mathematical model is built, and the simulation results demonstrate the achieved improvements. Document type: Articl

Cyclist’s Intention Identification on Pedestrian-Bicycle Mixed Sections Based on Phase-Field Coupling Theory

Bicycle is one of the main factors that affects the traffic safety and capacity on pedestrian-bicycle mixed traffic sections. It is important for implementing the warning of bicycle safety and improving the active safety to identify the cyclists’ intention in the mixed traffic environments under the condition of the “Internet of Things”. The phase-field coupling theory has been developed in this paper to comprehensively analyse the generation, spring up, increase, transfer, regression and reduction method of the traffic phase. The adaptive genetic algorithm based on the information entropy has been used to extract feature vectors of different types of cyclists for intention identification from the reduced pedestrian-bicycle traffic phase, and the theory of evidence has been provided here to build the identification model. The experimental verification shows that the extraction method of cyclists’ intention feature vector and identification model are scientific and reasonable. The theoretical basis can be applied to establishing the pedestrian-bicycle interactive security system.</p

Efficient spin-current injection in single-molecule magnet junctions

We study theoretically spin transport through a single-molecule magnet (SMM) in the sequential and cotunneling regimes, where the SMM is weakly coupled to one ferromagnetic and one normalmetallic leads. By a master-equation approach, it is found that the spin polarization injected from the ferromagnetic lead is amplified and highly polarized spin-current can be generated, due to the exchange coupling between the transport electron and the anisotropic spin of the SMM. Moreover, the spin-current polarization can be tuned by the gate or bias voltage, and thus an efficient spin injection device based on the SMM is proposed in molecular spintronics.Comment: 4 figure

Maintenance mechanism of Enteromorpha prolifera green tide: From perspective of nutrients utilization

293-297Green tide caused by macroalgae is one of the global ocean ecological disasters and nutrients with high concentration are considered as materials base for the outbreak of green tide. Nevertheless, there is no continuous nutrients supply for macroalgae during their floating in sea areas. Thus, there must be special nutrients utilization strategy for the macroalgae to maintain growth and proliferation even if the nutrients in seawater can not supply enough nutrients for them. To verify the hypothesis, Enteromorpha prolifera responsible for green tide was exposed to nutrients with different concentrations. E. prolifera absorbed and stored excrescent nutrients when it encountered nutrient eutrophication, then released and reutilized those stored nutrients for growth and proliferation in the nutrient-shortage seawaters. Thus, the green tide can be maintained by the nutrients regulation ability of E. prolifera. Results of the present work may be helpful to provide enlightenment on prediction and controlling of macroalgae green tide