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.     

Risk-based optimal operation of hybrid power system using multiobjective optimization

ABSTRACT

This paper solves an optimal generation scheduling problem of hybrid power system considering the risk factor due to uncertain/intermittent nature of renewable energy resources (RERs) and electric vehicles (EVs). The hybrid power system considered in this work includes thermal generating units, RERs such as wind and solar photovoltaic (PV) units, battery energy storage systems (BESSs) and electric vehicles (EVs). Here, the two objective functions are formulated, i.e., minimization of operating cost and system risk, to develop an optimum scheduling strategy of hybrid power system. The objective of proposed approach is to minimize operating cost and system risk levels simultaneously. The operating cost minimization objective consists of costs due to thermal generators, wind farms, solar PV units, EVs, BESSs, and adjustment cost due to uncertainties in RERs and EVs. In this work, Conditional Value at Risk (CVaR) is considered as the risk index, and it is used to quantify the risk due to intermittent nature of RERs and EVs. The main contribution of this paper lies in its ability to determine the optimal generation schedules by optimizing operating cost and risk. These two objectives are solved by using a multiobjective-based nondominated sorting genetic algorithm-II (NSGA-II) algorithm, and it is used to develop a Pareto optimal front. A best-compromised solution is obtained by using fuzzy min-max approach. The proposed approach has been implemented on modified IEEE 30 bus and practical Indian 75 bus test systems. The obtained results show the best-compromised solution between operating cost and system risk level, and the suitability of CVaR for the management of risk associated with the uncertainties due to RERs and EVs.     

碳中和愿景下电力部门低碳转型路径研究

碳中和愿景一方面加速了全社会电气化发展,致使电力需求持续增加,另一方面对尽早实现零碳电力提出要求,电力部门低碳转型进程更加紧迫而复杂。本文首先定性分析碳中和背景下电力部门的总体转型思路和技术不确定性影响,其次采用电力部门与终端部门耦合的C~3IAM/NET模型对电力需求进行预测,同时根据关键低碳技术发展的保守预期和积极预期设计多种情景,以开展电力低碳转型路径优化和成本效益研究。结果显示,发电碳排放量峰值可能出现在40亿～42亿吨,在2049—2060年有望实现零碳电力,电力部门低碳转型速度和效果因技术不确定性而存在明显差异。2021—2060年电力低碳转型累计投入为171万亿～180万亿元,CCS技术累计减排贡献超过250亿吨,可再生能源电力占比需达到68%以上,风电和光电将成为主要电力。     

中国经济实现持续增长面临的城市化滞后的挑战

我国人口城镇化滞后的根本原因在于计划经济体制下形成的二元经济结构和城乡隔离的户籍管理制度没有在工业化进程和市场经济体制建立进程中予以破除。而城镇化的滞后将给我国经济实现持续增长带来诸多挑战，包括有效需求不足、农业生产率低下、产业结构难以升级等。文章特别阐明通过包括户籍制度、就业制度和土地承包制度在内的制度创新，加快人口城镇化的步伐，促进经济持续稳定的增长。     

Holarctic Collared Lemmings: Traces of Their Spread as Related to the History of the Arctic Biota

Among recent lemmings (D. torquatus from the Yamal Peninsula and D. groenlandicus from Somerset, Bathurst, Melville, and Devon islands), there are populations with archaic sets of morphotypes characteristic of the end of the Late Pleistocene. In some parts of the species range, lemming morphotypes follow the pattern characteristic of the Holocene stage of their evolution. Lemmings with the best developed tooth system live in the Bering Sea sector of the Arctic (Wrangel Island, Chukotka and Alaska). The correspondence of the boundaries of the groups distinguished by odontological traits to the phylogeographic data on mitochondrial DNA (mtDNA) and chromosomal groups is discussed.     

城市土地资产经营新思路探讨

自1996年上海市成立第一家土地收购储备机构——土地发展中心后，全国各大城市已纷纷效仿它的成功经验。截止2001年8月不完全统计，全国已有大小不同的土地收购储备机构669家。实践证明，土地收购储备机制在盘活城市存量土地，促进土地集约利用，保障城市土地资产的保值增值等方面成绩卓著。然而，实践过程中，土地收购储备机制的运作也暴露出不少问题。本文通过对这些问题的分析，提出了引进公司制度完善土地收购储备机制，合理运营城市土地资产的新思路。     

战略导弹核武器系统人因工程应用研究

以战略导弹核武器系统的设计、生产、使用与维修为背景，分析了人为失误的定义、原因及分类，并根据模糊图理论，提出了一种评估人员可靠性的双向模糊图模型，并对人因工程学在战略导弹核武器系统的应用，提出了一些看法和建议。     

环境资源的量化模型及估算指标体系

本文依据区划环境标准，提出了环境资源的成本概念－环境成本。     

基于安全流变理论的交通系统事故过程分析

运用事物的安全流变规律分析系统的运行过程 ,指出系统的运行过程符合安全流变规律。通过对交通系统中的不安全因素扰动的分析 ,揭示了交通系统的安全流变特征 ;对传统的事故定义进行了拓展 ,将事故隐患纳入了事故的发展过程 ;提出了交通系统事故安全流变分析方法 ;最后通过一个具体的案例分析了系统事故的安全流变过程。     

公路运输化学事故应急救援体系研究

以动态源的定义为基础 ,结合危化品公路运输特殊性 ,阐述了危化品在公路运输过程中发生化学事故后应急救援的原则、工作特点与基本要求 ;提出化学事故应急救援中的基本任务是控制危险源 ,抢救受害人员 ,指导并组织群众疏散、自救和做好事故现场清理洗消工作 ,消除危害后果 ;提出公路运输化学事故应急救援预案系统建设的总体目标是 ,在应用ITS智能交通系统对动态源精确定位的基础上 ,建立公路运输化学事故应急救援预案动态库及应急救援组织保障系统和应急救援技术支持系统 ,一旦事故发生 ,能够做到尽快有效处理 ,最大限度地减小或消除事故损失。