双离合自动变速器电控电动换挡执行机构仿真优化与试验对比

为了提高双离合变速器在车辆上的换挡品质,提升电气化换挡执行机构的工作效率,给出执行机构性能与换挡品质评价准则;通过两种不同双离合变速器电控电动执行机构的工作原理与性能分析,基于MATLAB数值仿真方法优化出最高效率进行试验.基于车辆6个维度的换挡工况对二者所搭载的变速器分别进行试验与CAN线数据采集,对比研究两种机构优缺点,通过雷达图的方式进行优劣说明.结果表明,两种执行机构传动效率可达70％且换挡品质相当.可见Tip in tip out工况对二者要求最为严格.     

人民币跨境流动自由度的测算——基于资本项目名义开放指数的借鉴

长期以来,人们只看重货币国际化结果,以占全球贸易计价结算比重、外汇交易比重、国际债券比重、外汇储备比重等相关指标衡量一国货币的国际化程度,而忽视货币跨境流动放松过程,即一国货币的跨境流动自由化程度。货币国际化是一个过程又是一种结果,包含进程和结果两个层面,在货币国际化进程中,过早过快放松本币流出入会引发经济金融风险,某些情形下进程比结果更值得关注。构建人民币跨境自由度指数涉及强度赋值、项目设置和权重确定三方面内容。在梳理2019年第2季度前我国货币政策基础上,对2008年至2019年经常项目下的人民币跨境流动自由度、证券投资项目下的人民币跨境流动自由度以及资本项目下的人民币跨境流动自由度进行评估,并以美国近5年各项目下的资金流动平均占比为权重,构建了人民币跨境流动自由化指数,考察2008—2019年人民币跨境流动自由化程度,结果显示人民币国际化进展较快,跨境流动已得到很大程度放松,而且人民币流入自由程度显著高于流出自由度。我国人民币国际化进程应持续遵循先经常项目后资本项目、先流入后流出、先机构后个人、先大额后小额、先风险小项目后风险大项目的次序,提高人民币跨境流动的稳定性,降低无序流动的投机风险;严格管控证券投资、其他投资、衍生品项目下人民币跨境流动,并依据我国利率市场化程度、金融市场发达程度及审慎监管能力进行调整;大力提升经常项目的人民币结算比重,发展人民币离岸市场,提高非居民间的人民币使用频率和使用规模;充分评估各项目下人民币跨境流动和本外币兑换自由度,提高两者的协同匹配程度,降低因两者不匹配而产生的负面影响。     

We Eat First with Our (Digital) Eyes: Enhancing Mental Simulation of Eating Experiences via Visual-Enabling Technologies

This research examines how consumers’ intentions to purchase food change depending on the visualisation mode (3D vs. AR) and product format (served vs. packaged). In three studies, we demonstrate that mental simulation of eating experiences (process and outcome) mediate these effects. Study 1 shows that AR visualisation of a served food improves simulation of the eating process over 3D visualisation, with a positive effect on purchase intention. Study 2 reveals that 3D visualisation improves purchase intention for packaged products (high instrumental properties) over served products (low instrumental properties) while the opposite is true for AR visualisation. In addition, interactivity and immersion mediate the effects of 3D (vs. AR) on mental simulation of the eating process for packaged products. Study 3 extends these results by showing that 3D increases purchase intention by eliciting mental simulation of the eating outcome, when the food is visible due to transparent (vs. opaque) packaging (displaying both sensory and instrumental properties), but that no such differences emerge for AR. This research highlights the importance of using different visualisation modes to promote food depending on the product format. The findings have important implications for both offline and online retailers.     

Personal Income Tax Reform in China in 2018 and Its Impact on Income Distribution

In the context of personal income tax (PIT) reform in China in 2018, this paper examines some of the major issues of concern regarding the reform and income distribution. Using the China Personal Income Tax Micro‐simulation model, the paper compares the differences between the 2011 and 2018 PIT systems, and finds that residents relying on different income sources may face a large degree of real tax rate change. Once the tax system is altered to PIT 2018, the coverage of PIT for wage earners will decrease from 46.9 to 23.4 percent, the income redistributive effect will drop from 1.95 to 1.22 percent and the PIT's role in fiscal revenue will also be negatively affected. Nevertheless, if individual income continues to grow, the share of PIT in fiscal revenue is expected to return to the 2018 level in 2022, but its income redistribution function is difficult to recover in the short term. The paper finds that the effect of PIT on income distribution depends on the tax structure. Gradual transition to an “entirely comprehensive” tax system when conditions are appropriate will achieve better income redistribution results at a lower average tax rate.     

Estimating emissions based on the integration of microscopic traffic simulation and vehicle dynamics model

This study proposes an integrated simulation approach, which consists of a microscopic traffic simulation model, a vehicle dynamics model, and an emission estimation model, in order to estimate emissions based on more reliable vehicle performance measures. The vehicle performance measures such as engine power and engine speed significantly relate to the amount of emissions, and road curvatures and inclinations are the core inputs affecting these vehicle performance measures. Therefore, providing reliable vehicle performance measures reflecting the road geometric attributes is critical for a reliable emission estimation. This study proposes to use the microscopic traffic simulation model for generating vehicle trajectories, which is advantageous in modeling various traffic situations, and the vehicle dynamics model for producing the vehicle performance measures based on the vehicle trajectories. Finally, the outputs from the vehicle dynamics model are fed into the emission estimation model to compute emission measures. This study conducted a case-study using two road sections, one is a hypothesized road section, including various curvatures and inclinations with regular variations, and the other is a Kesselberg road section, which is an actual geometry in Bayern, Germany. The emission measures are estimated in these case-study road sections using both an existing simulation approach and the proposed integrated simulation approach. The difference between these two emission estimation approaches is discussed in terms of the emission measures, including fuel consumption, nitrogen oxides, and particulate matters.     

Auction theory adaptations for real life applications

We develop extensions to auction theory results that are useful in real life scenarios.1. Since valuations are generally positive we first develop approximations using the log-normal distribution. This would be useful for many finance related auction settings since asset prices are usually non-negative.2. We formulate a positive symmetric discrete distribution, which is likely to be followed by the total number of auction participants, and incorporate this into auction theory results.3. We develop extensions when the valuations of the bidders are interdependent and incorporate all the results developed into a final combined realistic setting.4. Our methods can be a practical tool for bidders and auction sellers to maximize their profits. The models developed here could be potentially useful for inventory estimation and for wholesale procurement of financial instruments and also non-financial commodities.All the propositions are new results and they refer to existing results which are stated as Lemmas.     

The impacts of export competition on international technology flows

Knowledge flow is a key to building technological capabilities. This article investigates how competition in international trade affects knowledge flow between countries using patent data and trade data for analysis. The main finding is that export competition in the third market (in our study, the US market) seems to have a positive impact on the flow of knowledge. The findings from this study contribute to the debate on ‘learning-by-exporting’.     

基于价值流图析的生产线连续流创建

针对M企业A生产线在制品积压、交付周期长等问题，通过现状价值流图分析其原因，提出在考虑改善效益大于投入成本的条件下，选择合适的自动化水平，以克服物料供应不及时、工艺特性等制约因素。从工艺流程、布局、工装等方面进行改善并绘制未来价值流图，创建生产线连续流。生产线连续流创建后，生产周期缩短了13天、搬运距离减少41m、车间面积节省约168m2、作业人数减少6人，为企业降本增效打下了坚实基础。     

Analysis of the effect of charging infrastructure design on electric taxi driving profiles: A case study approach on the example of Singapore

Replacing conventional vehicle taxis with electric vehicles would be an efficient measure to reduce greenhouse gas emissions. Due to the limited range and long charging times of current battery electric vehicles, it is of utmost importance to provide sufficient charging facilities. This article analyses the impact of the placement and charging power of charging stations on potential mileage and revenue of electric taxis on the example of Singapore. Therefore, we developed an agent-based electric taxi simulation model to investigate electric taxis’ driving profiles with respect to different vehicle types and charging infrastructure designs. This model is also capable of simulating conventional taxi driving profiles. The validation of these simulation results with real taxi data showed that the model is reproducing taxi driving profiles with high accuracy in great detail. We found out that electric taxis could reach the same mileage and revenue as conventional taxis if charging with a power of 160?kW is possible. Furthermore, we discovered that waiting times for available charging stations have a stronger effect on revenue than the length of detours to reach charging stations. Based on these findings, we concluded that it is more important to reduce waiting times by placing sufficient numbers of charging stations at each location before expanding the charging network by installing small numbers of charging stations at many locations.