新能源汽车节能减排技术研究进展（2）——能量管理系统（下）

描述了电动力汽车（EV）、混合动力汽车（HEV）和燃料电池汽车（FCV）节能减排技术的研究进展,主要从以下三方面论述：发动机系统、能量管理系统、传感器系统,并指出了存在问题和发展方向。本文介绍了能量管理系统,包括功率转换器、电力半导体器件、电池和超大电容器、节能技术。     

新能源汽车节能减排技术研究进展（1）——发动机系统

综述了电动力汽车（EV）、混合动力汽车（HEV）和燃料电池汽车（FCV）节能减排技术研究进展,主要从以下三方面论述：发动机系统、能量管理系统、传感器系统,并指出了存在问题和发展方向。本文主要介绍了发动机系统,包括：EV、HEV和FCV的关键技术、电机设计和驱动技术、控制技术。     

本期摘要

新能源汽车节能减排技术研究进展（2）——能量管理系统（上） 摘要：描述了电动力汽车（EV）、混合动力汽车（HEV）和燃料电池汽车（FCV）节能减排技术研究进展，主要从以下三方面论述：发动机系统、能量管理系统、传感器系统，并指出了存在问题和发展方向。本文介绍了能量管理系统，包括功率转换器、电力半导体器件、电池和超大电容器、节能技术。     

本期摘要

新能源汽车节能减排技术研究进展（2）——能量管理系统（下） 摘要：描述了电动力汽车（EV）、混合动力汽车（HEV）和燃料电池汽车（FCV）节能减排技术的研究进展，主要从以下三方面论述：发动机系统、能量管理系统、传感器系统，并指出了存在问题和发展方向。本文介绍了能量管理系统，包括功率转换器、电力半导体器件、电池和超大电容器、节能技术。     

本期摘要

新能源汽车节能减排技术研究进展（1）——发动机系统 综述了电动力汽车（EV）、混合动力汽车（HEV）和燃料电池汽车（FCV）节能减排技术研究进展,主要从以下三方面论述：发动机系统、能量管理系统、传感器系统,并指出了存在问题和发展方向。本文主要介绍了EV、HEV和FCV的发动机系统,包括关键技术、电机设计和驱动技术、控制技术。     

新能源汽车节能减排技术研究进展(3)——传感器系统

描述了电动力汽车(EV)、混合动力汽车(HEV)和燃料电池汽车(FCV)节能减排技术的研究进展,主要从以下三方面论述:发动机系统、能量管理系统、传感器系统,并指出了存在问题和发展方向.本文介绍了传感器系统,包括新型汽车传感器、新的零部件和新的系统应用.     

嵌入式燃料电池车锂离子动力电池管理系统

锂离子动力电池是燃料电池汽车的辅助动力源,合理地对锂离子电池进行管理对燃料电池汽车起了至关重要的作用。文章基于模块化的思想,从燃料电池汽车的整车性能需求出发对车用锂离子电池管理系统的功能结构进行了划分,设计出了相应的硬件系统,并在此基础上,为了保证系统的稳定性和实时性,基于嵌入式实时操作系统μC/OS-II进行了软件系统设计。将管理系统用于实车运行,取得了比较理想的效果。     

基于非线性电池模型的WSNs节能技术研究

在无线传感器网络（WSNs）节能技术研究中,如何最大化节点电池能量效率从而延长整个网络寿命是一个关键问题。采用非线性电池模型,使用在低数据传输速率场合中较为节能的FSK调制技术,通过理论分析和参数优化方法,以电池能耗最小为目标,建立电池能耗模型,优化调制指数,使得电池能耗最低。仿真结果表明：该模型能够更加准确地评估节点能耗和寿命。在给定传输距离下,存在一个最优调制指数,使得电池能耗最低。最后给出了不同传输距离对应的最优调制指数。     

飞思卡尔推出用于汽车电池监控的智能传感器

在当今的汽车中,日益增加的电力负荷对电池提出了挑战。由电气系统引起的汽车故障通常可以追溯到铅酸电池,一般可以通过了解电池的准确状态加以避免。电池必须能够提供足够的能量以启动发动机,并作为一个备份的电源来支持混合动力汽车的新功能,例如起停和智能交     

混合动力汽车Ni—MH电池SOC估算算法的研究

电池的荷电状态SOC（state—of—charge）,对于混合动力汽车的电池管理系统来说是一个非常重要的参数。文章介绍了当前常用的一些SOC的估算方法,并分析了这些方法存在的一些局限性。着重研究了基于卡尔曼滤波器估算SOC的算法,并在MATLAB下进行了仿真。     

A survey of power and energy efficient techniques for high performance numerical linear algebra operations

Extreme scale supercomputers available before the end of this decade are expected to have 100 million to 1 billion computing cores. The power and energy efficiency issue has become one of the primary concerns of extreme scale high performance scientific computing. This paper surveys the research on saving power and energy for numerical linear algebra algorithms in high performance scientific computing on supercomputers around the world. We first stress the significance of numerical linear algebra algorithms in high performance scientific computing nowadays, followed by a background introduction on widely used numerical linear algebra algorithms and software libraries and benchmarks. We summarize commonly deployed power management techniques for reducing power and energy consumption in high performance computing systems by presenting power and energy models and two fundamental types of power management techniques: static and dynamic. Further, we review the research on saving power and energy for high performance numerical linear algebra algorithms from four aspects: profiling, trading off performance, static saving, and dynamic saving, and summarize state-of-the-art techniques for achieving power and energy efficiency in each category individually. Finally, we discuss potential directions of future work and summarize the paper.     

Smart procurement of naturally generated energy (SPONGE) for PHEVs

In this paper, we propose a new engine management system for hybrid vehicles to enable energy providers and car manufacturers to provide new services. Energy forecasts are used to collaboratively orchestrate the behaviour of engine management systems of a fleet of plug-in hybrid electric vehicle (PHEVs) to absorb oncoming energy in a smart manner. Cooperative algorithms are suggested to manage the energy absorption in an optimal manner for a fleet of vehicles, and the mobility simulator SUMO (Simulation of Urban MObility) is used to demonstrate the efficacy of the proposed idea.     

On reducing energy management delays in disks

Enterprise computing systems consume a large amount of energy, the cost of which contributes significantly to the operating budget. Consequently, dynamic energy management techniques are prevalent. Unfortunately, dynamic energy management for disks impose delays associated with powering up the disks from a low-power state. Systems designers face a critical trade-off: saving energy reduces operating costs but may increase delays; conversely, reduced access latency makes the systems more responsive but may preclude energy management. In this paper, we propose a System-wide Alternative Retrieval of Data (SARD) scheme. SARD exploits the similarity in software deployment and configuration in enterprise computers to retrieve binaries transparently from other nodes, thus avoiding access delays when the local disk is in a low-power state. SARD uses a software-based approach to reduce spin-up delays while eliminating custom buffering, shared memory infrastructure, or the need for major changes in the operating system. SARD achieves over 71% reduction in delays on trace-driven simulations and in an actual implementation. This will encourage users to utilize energy management techniques more frequently. SARD also achieves an additional 5.1% average reduction in energy consumption for typical desktop applications compared to the widely-used timeout-based disk energy management.     

瓦楞纸制造过程能耗监控物联网关键技术研究

结合智能制造业物联网系统结构关键重大共性技术—机械装备工艺过程优化系统节能。以解决瓦楞纸行业节能降耗关键工艺为目的,重点研究能耗的监测与管理、厂房各种环境参数的可靠感知、实时的网络数据传输和基于物联网的先进能源管理系统、能源动态平衡和优化调度方法等。与常规能耗监控系统方案相比,提高生产效率30%以上;节约能耗30%;节约纸耗20%;节约浆耗20%,将具有良好经济效应、社会效益和节能降耗效益。     

A survey of recommender systems for energy efficiency in buildings: Principles,challenges and prospects

Recommender systems have significantly developed in recent years in parallel with the witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) technologies. Accordingly, as a consequence of IoT and AI, multiple forms of data are incorporated in these systems, e.g. social, implicit, local and personal information, which can help in improving recommender systems’ performance and widen their applicability to traverse different disciplines. On the other side, energy efficiency in the building sector is becoming a hot research topic, in which recommender systems play a major role by promoting energy saving behavior and reducing carbon emissions. However, the deployment of the recommendation frameworks in buildings still needs more investigations to identify the current challenges and issues, where their solutions are the keys to enable the pervasiveness of research findings, and therefore, ensure a large-scale adoption of this technology. Accordingly, this paper presents, to the best of the authors’ knowledge, the first timely and comprehensive reference for energy-efficiency recommendation systems through (i) surveying existing recommender systems for energy saving in buildings; (ii) discussing their evolution; (iii) providing an original taxonomy of these systems based on specified criteria, including the nature of the recommender engine, its objective, computing platforms, evaluation metrics and incentive measures; and (iv) conducting an in-depth, critical analysis to identify their limitations and unsolved issues. The derived challenges and areas of future implementation could effectively guide the energy research community to improve the energy-efficiency in buildings and reduce the cost of developed recommender systems-based solutions.     

Achieving energy efficiency during collective communications

Energy consumption has become a major design constraint in modern computing systems. With the advent of petaflops architectures, power‐efficient software stacks have become imperative for scalability. Techniques such as dynamic voltage and frequency scaling (called DVFS) and CPU clock modulation (called throttling) are often used to reduce the power consumption of the compute nodes. To avoid significant performance losses, these techniques should be used judiciously during parallel application execution. For example, its communication phases may be good candidates to apply the DVFS and CPU throttling without incurring a considerable performance loss. They are often considered as indivisible operations although little attention is being devoted to the energy saving potential of their algorithmic steps. In this work, two important collective communication operations, all‐to‐all and allgather, are investigated as to their augmentation with energy saving strategies on the per‐call basis. The experiments prove the viability of such a fine‐grain approach. They also validate a theoretical power consumption estimate for multicore nodes proposed here. While keeping the performance loss low, the obtained energy savings were always significantly higher than those achieved when DVFS or throttling were switched on across the entire application run. Copyright © 2012 John Wiley & Sons, Ltd.     

A WEB-BASED MULTI-AGENT SYSTEM FOR TRANSPORTATION MANAGEMENT TO PROTECT OUR NATURAL ENVIRONMENT

To improve the situation of wasting natural resources, the existing transportation systems have to be optimized. This means that we should not only think about new technologies for saving energy but also about better use of the existing trafficways. The most efficient way to achieve these objectives is to automate the existing means of communication and to improve transportation management. Since most of the communication channels and technologies for automation in transportation management are Web-based, we want to describe how to improve Web-based transportation management. Talking about Web-based environments means talking about the Internet and services it offers. These Web-based environments build up a good basis for an agent-based approach, because all aspects for communication and information processing are also used in agent systems. In this approach, Web servers build the agents by themselves and an agent-based interaction works with the support of Web services. Thus, we can build an agent-based structure for transportation control that is similar to the structure of the Internet. Agent-based transportation management is a possible contribution to make transportation management more effective in regard to saving energy (fuel) and protecting our environment by stopping the increase of existing trafficways.