Estimating Signal Timing of Actuated Signal Control Using Pattern Recognition under Connected Vehicle Environment

The Signal Phase and Timing (SPaT) message is an important input for research and applications of Connected Vehicles (CVs). However, the actuated signal controllers are not able to directly give the SPaT information since the SPaT is influenced by both signal control logic and real-time traffic demand. This study elaborates an estimation method which is proposed according to the idea that an actuated signal controller would provide similar signal timing for similar traffic states. Thus, the quantitative description of traffic states is important. The traffic flow at each approaching lane has been compared to fluids. The state of fluids can be indicated by state parameters, e.g. speed or height, and its energy, which includes kinetic energy and potential energy. Similar to the fluids, this paper has proposed an energy model for traffic flow, and it has also added the queue length as an additional state parameter. Based on that, the traffic state of intersections can be descripted. Then, a pattern recognition algorithm was developed to identify the most similar historical states and also their corresponding SPaTs, whose average is the estimated SPaT of this second. The result shows that the average error is 3.1 seconds

Cycling Li-O2 Batteries via LiOH Formation and Decomposition

The rechargeable aprotic Li-air (O₂) battery is a promising potential technology for next generation energy storage, but its practical realization still faces many challenges. In contrast to the standard Li-O₂ cells, which cycle via the formation of Li₂O₂, we use a reduced graphene oxide electrode, the additive LiI, and the solvent dimethoxyethane to reversibly form/remove crystalline LiOH with particle sizes > 15 μm during discharge/charge. This leads to high specific capacities, excellent energy efficiency (93.2%) with a voltage gap of only 0.2 V, and impressive rechargeability. The cells tolerate high concentrations of water, water being the dominant proton source for the LiOH; together with LiI it has a decisive impact on the chemical nature of the discharge product and battery performance.This work was partially supported by the Assistant Secretary for Energy Efficiency and Renewable Energy, Office of Vehicle Technologies of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231, under the Batteries for Advanced Transportation Technologies (BATT) Program subcontract #7057154 (WY, ML, PB), EPSRC (TL), Johnson Matthey (AM) and Marie Curie Actions (PB and ML).This is the author accepted manuscript. The final version is available from AAAS via http://dx.doi.org/10.1126/science.aac773

Cycling Li-O₂ batteries via LiOH formation and decomposition.

The rechargeable aprotic lithium-air (Li-O2) battery is a promising potential technology for next-generation energy storage, but its practical realization still faces many challenges. In contrast to the standard Li-O2 cells, which cycle via the formation of Li2O2, we used a reduced graphene oxide electrode, the additive LiI, and the solvent dimethoxyethane to reversibly form and remove crystalline LiOH with particle sizes larger than 15 micrometers during discharge and charge. This leads to high specific capacities, excellent energy efficiency (93.2%) with a voltage gap of only 0.2 volt, and impressive rechargeability. The cells tolerate high concentrations of water, water being the dominant proton source for the LiOH; together with LiI, it has a decisive impact on the chemical nature of the discharge product and on battery performance.This work was partially supported by the Assistant Secretary for Energy Efficiency and Renewable Energy, Office of Vehicle Technologies of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231, under the Batteries for Advanced Transportation Technologies (BATT) Program subcontract #7057154 (WY, ML, PB), EPSRC (TL), Johnson Matthey (AM) and Marie Curie Actions (PB and ML).This is the author accepted manuscript. The final version is available from AAAS via http://dx.doi.org/10.1126/science.aac773

A New Production-Splitting Method for the Multi-Well-Monitor System

In order to reduce the cost of wellheads, the production rate of the gas wells in the Hechuan Gas Field are mostly measured in groups, which raises a stringent barrier for industries to determine the production rate of each single well. The technique for determining the production of a single well from the production of the well-group can be called the production splitting method (PSM). In this work, we proposed a novel PSM for the multi-well-monitor system (MWMS) on the basis of the Beggs and Brill (BB) correlation. This proposed method can account for the multi-phase flow together with the features of the pipelines. Specifically, we discretize the pipeline into small segments and recognize the flow pattern in each segment. The pressure drop along the pipeline is calculated with the Beggs and Brill correlation, and the production of each well is subsequently determined with a trial method. We also applied this proposed method to a field case, and the calculated results show that the results from this work undergo an excellent agreement with the field data. Document type: Articl

The complete chloroplast genome sequence of Rhododendron fortunei: structural comparative and phylogenetic analysis in the Ericaceae family

Rhododendron fortunei (Ericaceae) possesses valuable horticultural and medicinal values. However, the genomic information on R. fortunei is very limited. In this study, the complete chloroplast genome (cp) of R. fortunei was assembled and annotated, SSR loci were characterised, comparative genomic analysis was carried out, and phylogenetic research was also performed. The results showed that the R. fortunei cp genome was of a typical quadripartite structure (200,997 bp). The lengths of the large single copy region (LSC), the inverted repeat regions (IR), and the small single copy region (SSC) were 109,151 bp, 2,604 bp, and 44,619 bp, respectively. A total of 147 unique genes were identified, including 99 protein-coding genes, 42 tRNA genes, and 6 rRNA genes, respectively. Leucine (11.51%) and cysteine (1.15%) were the highest and lowest representative amino acids, respectively. The total of 30 codons with obvious codon usage bias were all A/U-ending codons. Among the 77 simple sequence repeats, the majority were mononucleotide A/T repeats located in the intergenic spacer region. Five gene regions showed high levels of nucleotide diversity (Pi > 0.03). The comparative genome analysis revealed 7 hotspot intergenic regions (trnI-rpoB, trnTrpl16, rpoA-psbJ, rps7-rrn16, ndhI-rps16, rps16-rps19, and rrn16-trnI), showing great potential as molecular makers for species authentication. Expansion and contraction were detected in the IR region of the R. fortunei cp genome. In the phylogenetic tree, R. fortunei was closely related to R. platypodum. This research will be beneficial for evolutionary and genetic diversity studies of R. fortunei and related species among the Ericaceae family

Heterostructured SnO2-SnS2@C Embedded in Nitrogen-Doped Graphene as a Robust Anode Material for Lithium-Ion Batteries

Tin-based anode materials with high capacity attract wide attention of researchers and become a strong competitor for the next generation of lithium-ion battery anode materials. However, the poor electrical conductivity and severe volume expansion retard the commercialization of tin-based anode materials. Here, SnO2-SnS2@C nanoparticles with heterostructure embedded in a carbon matrix of nitrogen-doped graphene (SnO2-SnS2@C/NG) is ingeniously designed in this work. The composite was synthesized by a two-step method. Firstly, the SnO2@C/rGO with a nano-layer structure was synthesized by hydrothermal method as the precursor, and then the SnO2-SnS2@C/NG composite was obtained by further vulcanizing the above precursor. It should be noted that a carbon matrix with nitrogen-doped graphene can inhibit the volume expansion of SnO2-SnS2 nanoparticles and promote the transport of lithium ions during continuous cycling. Benefiting from the synergistic effect between nanoparticles and carbon matrix with nitrogen-doped graphene, the heterostructured SnO2-SnS2@C/NG further fundamentally confer improved structural stability and reaction kinetics for lithium storage. As expected, the SnO2-SnS2@C/NG composite exhibited high reversible capacity (1201.2 mA h g−1 at the current rate of 0.1 A g−1), superior rate capability and exceptional long-life stability (944.3 mAh g−1 after 950 cycles at the current rate of 1.0 A g−1). The results demonstrate that the SnO2-SnS2@C/NG composite is a highly competitive anode material for LIBs

In-situ Grown SnS2 Nanosheets on rGO as an Advanced Anode Material for Lithium and Sodium Ion Batteries

SnS2 nanosheets/reduced graphene oxide (rGO) composite was prepared by reflux condensation and hydrothermal methods. In this composite, SnS2 nanosheets in-situ grew on the surface of rGO nanosheets. The SnS2/rGO composite as anode material was investigated both in lithium ion battery (LIB) and sodium ion battery (SIB) systems. The capacity of SnS2/rGO electrode in LIB achieved 514 mAh g−1 at 1.2 A g−1 after 300 cycles. Moreover, the SnS2/rGO electrode in SIB delivered a discharge capacity of 645 mAh g−1 at 0.05 A g−1; after 100 cycles at 0.25 A g−1, the capacity retention still keep 81.2% relative to the capacity of the 6th cycle. Due to the introduction of rGO in the composite, the charge-transfer resistance became much smaller. Compared with SnS2/C electrode, SnS2/rGO electrode had higher discharge capacity and much better cycling performance