Energy consumption estimation model for dual-motor electric vehicles based on multiple linear regression

ABSTRACT

The drive range of electric vehicle (EV) is one of the major limitations that impedes its universalism. A great deal of research has been devoted to drive range improvement of EV, an accurate and efficiency energy consumption estimation plays a crucial role in these researches. However, the majority of EV’s energy consumption estimation models are based on single motor EV, these models are not suitable for dual-motor EVs, which are composed of more complex transmission mechanisms and multiple operating modes. Thus, an energy consumption estimation model for dual-motor EV is proposed to estimate battery power. This article focuses on studying the operating modes and system efficiency in each operating mode. The limitation of working area of each mode ensures the vehicle dynamic performance, then PSO algorithm is adopted to optimize the torque (speed) distribution between two motors to improve the system efficiency in the coupled driving mode. Finally, the energy consumption estimation model is established by multiple linear regression (MLR). The result shows that the proposed model has a high precision in energy consumption estimation of dual-motor EV.     

Analysis of the recycling system for aluminum cans,focusing on collection,transportation, and the intermediate processing methods

In this article, the systems for the collection and intermediate processing of used beverage cans (UBCs) are compared and analyzed, focusing on the time taken and the cost of processing, the energy consumption, and the emissions of CO₂, SO _x , and NO _x , during the process. We found that cases where the UBCs were crushed in the discharging process gave better results, and how the UBCs were collected was the most important factor. It was more desirable to treat UBCs in one place than in two places. When the transportation distance was longer, the pressed form of UBCs was more convenient. When the transportation distance was short, the original form, the crushed form, and the shredded form of UBCs were all suitable. That is, the contribution of the transportation process to the evaluation was large when the transport distance was long, and the contribution of the treatment process was large when the transport distance was short.     

组合优化的能源消费量预测模型

针对非等间距灰色系统预测中存在误差较大的问题，结合序列本身的特点，利用世界能源消费的历史数据，采用3种灰色预测模型与神经网络进行组合优化，建立了灰色神经网络的能源消费量组合预测模型。实证分析结果表明，提高了模型的拟合和预测精度，拓宽了应用范围。该模型可对能源的消费趋势进行预测，为科学分析能源结构提供依据。     

自主研发、技术引进与能源消耗强度——基于中国工业行业的实证分析

本文运用1998-2007年中国工业32个行业面板数据,将工业各行业研发总支出划分为自主研发、国外技术引进和国内技术转移三个部分,在估算自主研发存量和技术引进存量的基础上,研究了自主研发、技术引进对工业能源消耗强度的影响,并考察了能源相对价格、FDI的进入程度以及工业内部行业结构等因素.研究表明,自主研发和国外技术引进对能源强度的影响存在行业差异.自主研发对全工业行业和高能源强度行业的能源强度有显著负效应,对低能源强度行业的影响不显著;国内技术转移对全工业行业和低能源强度行业的能源强度有显著负的影响,对高能源强度行业的影响不显著;国外技术引进在所有样本中对能源强度的影响均不显著.研究还发现,在低能源强度行业中,自主研发并没有与国外技术引进互为补充共同促进能源强度的下降;在高、低能源强度行业样本中,自主研发没有与国内技术转移形成互补优势,有助于能源强度的下降.     

Climate dynamics and extreme precipitation and flood events in Central Europe

Past changes and possible future variations in the nature of extreme precipitation and flood events in Central Europe and the Alpine region are examined from a physical standpoint. An overview is given of the following key contributory physical processes: (1) the variability of the large-scale atmospheric flow and the associated changes of the North-Atlantic storm track; (2) the feedback process between climate warming and the water cycle, and in particular the potential for more frequent heavy precipitation events; and (3) the catchment-scale hydrological processes associated with variations in major river flooding events and that are related to land-use changes, river training measures, and shifts in the proportion of rain to snowfall. In this context an account is provided of the possible future forecasting and warning methodologies based upon high-resolution weather prediction and runoff models. Also consideration is given to the detectability of past (future) changes in observed (modeled) extreme events. It is shown that their rarity and natural fluctuation largely impedes a detection of systematic variations. These effects restrict trend analysis of such events to return periods of below a few months. An illustration using daily precipitation from the Swiss Alps does yield evidence for pronounced trends of intense precipitation events (return period 30 days), while trends of stronger event classes are not detectable (but nevertheless can not be excluded). The small detection probability for extreme events limits possible mitigation of future damage costs through an abatement of climate change alone, and points to the desirability of developing improved early forecasting/warning systems as an additional no-regret strategy. This revised version was published online in July 2006 with corrections to the Cover Date.     

On the confluence of city living,energy saving behaviours and direct residential energy consumption

The purpose of this study is to shed light on the connection between income, dwelling type, tenure type and city living, in terms of both a household’s energy saving behaviours and direct residential energy consumption. This study employs data from the Household Energy Consumption Survey, Australia. Using a seemingly unrelated regression (SUR) system of equations the results reveal some key mechanisms which may allow householders to realise lower levels of energy consumption and hence lower carbon emissions. The results indicate that there are characteristics unique to living in a city that are linked to higher levels of direct residential energy consumption. On a number of measures (e.g. household income, tenure type and dwelling type), the results point to a lower likelihood of engaging in energy saving behaviours in cities. Also, depending on the number of energy saving behaviours, these actions have the potential to more than offset higher direct residential energy consumption of householders residing in separate houses. Coupled with these findings renters, a more vulnerable social group, are found to be significantly disadvantaged, suffering from a much lower adaptive capacity. Specifically, householders who rent their home are 77% less likely to have solar electricity. A result which may reflect differences in access to opportunity. Further, householders who rent are less likely to engage in energy saving actions. A finding which may reflect difference in ontological security and the greater psychological burden associated with undertaking energy saving behaviours (a barrier) borne by renters not shared with home owners.     

A method for evaluating transport energy consumption in suburban areas

Urban sprawl is a major issue for sustainable development. It represents a significant contribution to energy consumption of a territory especially due to transportation requirements. However, transport energy consumption is rarely taken into account when the sustainability of suburban structures is studied. In this context, the paper presents a method to estimate transport energy consumption in residential suburban areas. The study aimed, on this basis, at highlighting the most efficient strategies needed to promote awareness and to give practical hints on how to reduce transport energy consumption linked to urban sprawl in existing and future suburban neighborhoods. The method uses data collected by using empirical surveys and GIS. An application of this method is presented concerning the comparison of four suburban districts located in Belgium to demonstrate the advantages of the approach. The influence of several parameters, such as distance to work places and services, use of public transport and performance of the vehicles, are then discussed to allow a range of different development situations to be explored. The results of the case studies highlight that traveled distances, and thus a good mix between activities at the living area scale, are of primordial importance for the energy performance, whereas means of transport used is only of little impact. Improving the performance of the vehicles and favoring home-work give also significant energy savings. The method can be used when planning new areas or retrofitting existing ones, as well as promoting more sustainable lifestyles regarding transport habits.     

低碳消费偏好与低碳产品需求分析

低碳消费方式是低碳经济的重要环节,本文对低碳消费偏好和低碳产品需求及其影响因素作了理论分析和实证研究.首先对低碳产品的消费偏好进行了分析,低碳产品消费偏好的两个最重要特征是二元价值结构的产品和超越基本价值的消费偏好,在此基础上构建了低碳产品效用函数.然后根据低碳产品效用函数给出了低碳产品的一般需求模式,结合低碳产品置信度变量的引进,构建了一个具体的低碳产品需求函数,并对低碳产品需求函数进行分析,揭示了低碳产品需求的一些基本性质.为了验证低碳消费理论分析的结论,做了低碳产品消费的问卷调查.对问卷调查进行统计分析,结果表明:收入越高,对低碳产品支付的价格就越高;低碳产品的环境价值置信度越高,意愿支付价格就越商；低碳产品碳排放量降低越多,低碳产品需求价格就越高.最后,结合以上分析,从低碳宣传和公益广告、设立低碳产品标准、鼓励低碳产品技术研发角度提出了促进低碳消费发展的政策建议.     

中国碳排放强度与煤炭消耗的冲击效应分析

受能源消费结构的影响,煤炭作为我国经济发展的资源支柱,一方面推动着经济快速增长,另一方面也对中国节能减排、降低碳排放强度提出了挑战,因而准确认识碳排放强度与煤炭消耗之间的交互冲击作用机理,为挖掘碳减排路径提供了科学依据.本文选取1990 - 2008年间中国碳排放强度与煤炭消耗指标,采用EG协整检验证明碳排放强度与煤炭消耗之间存在长期稳定关系,并以此建立VAR模型和脉冲响应函数,考察碳排放强度与煤炭消耗之间的长期动态影响特征.冲击响应分析结果表明:(1)煤炭消耗比重的变化对碳排放强度的冲击影晌具有一定滞后性和波动性,但冲击作用长期持久；(2)碳排放强度对煤炭消耗比重的冲击影响在短期内较剧烈,但长期冲击影响不明显；(3)煤炭消耗比重的降低在长期内会促使碳排放强度的降低,因而可以通过降低煤炭消耗比重来达到降低碳排放强度的目的.最后,从结构性降低、产业传导性降低以及技术性降低等角度,提出减少煤炭消耗、降低碳排放强度的相关对策措施.     

三烧溴化锂集中制冷空调系统改建设计

武钢三烧区域改建了二台大连三洋蒸汽型双效溴化锂吸收式制冷机。叙述了该改建项目的主机选型、参数选定、设计特点等。