动力电池产业技术及其标准化

通过对几种以化石燃料为基础的替代性动力源从体积比能量角度进行了对比,阐述了动力电池作为驱动动力与汽油的本质区别,以明确替代性能源战略需要关注和解决的本质性问题.文章还就动力电池标准化涉厦的重点问题进行了阐述.     

浅谈锂离子动力电池与电动汽车的发展

传统汽车所带来的能源危机和环境问题逐渐引起世界各国的重视。锂离子动力电池作为一种全新的绿色能源,对电动汽车的发展起着至关重要的作用。本文分析了动力电池的使用特点,对锂离子动力电池的材料体系特点进行了阐述和比较,并指出了动力电池在电动汽车使用过程中存在的问题及解决方向。     

锂动力电池寿命预测研究进展

综述了国内外对于锂动力电池储存寿命和循环寿命预测模型的研究进展。阐述了以容量衰减、电阻增加与衰退为基础建立的寿命预测模型的研究成果。统一储存寿命和循环寿命预测,并综合考虑我国动力电池使用条件和外部环境情况,这对锂动力电池的应用具有现实意义。     

一种基于预测开路电压估算SOC初值的方法

为解决电动汽车动力电池 SOC初值估算问题,文章以锂离子动力电池为对象,进行了脉冲放电实验,拟合了锂离子动力电池开路电压与 SOC函数关系式。对七阶Thevenin等效电池模型进行了参数辨识,预测了锂离子电池开路电压,将预测的开路电压代入开路电压与 SOC函数关系式进行了 SOC初值的估计。通过仿真实验,得出 SOC 初值估计误差为0.1321%。文中 SOC初值估算精度优于市场上通用的电池容量检测仪精度,验证了预测开路电压估算 SOC初值方法的可行性。     

发展我国锂离子动力电池关键工艺设备思考

锂离子电池作为一种性能优越的新型二次电源越来越得到行业重视,尤其是锂离子动力电池未来市场前景广阔,被更为看好。介绍了锂离子动力电池的发展应用概况和目前我国该行业与国外先进水平对比及存在问题,并重点就滞后于行业发展的关键工艺装备技术做了分析,阐述了作者的观点。     

基于大数据的电动汽车动力电池充电预测分析

阐述大数据技术的特点，电动汽车的发展现状，动力电池系统和电池充电能量分析，探讨电动汽车动力电池的充电预测，电动汽车动力电池装置的安全，动力电池数据可视化、回归计算分析，提出针对性的改进措施。     

基于物联网的锂动力电池智能综合管理系统

锂动力电池是一种应用非水电解质溶液，并由锂合金或锂金属作为负极材料的电池，具有绿色环保、轻便、高能量密度、使用寿命长等特点。近年来，锂动力电池被广泛应用于电动工具、电动自行车等领域，并逐步应用到电动车辆与混合动力车领域。但是，原有的锂动力电池监控方法局限于电池组节点保护层面，无法保证将信息传输至监控平台。为提高电动汽车的电池智能综合管理系统的智能化与实时性水平，文中提出以物联网技术为基础，设计了一款基于物联网的锂动力电池智能综合管理系统，其以全面感知、获取锂动力电池的实时数据，并通过智能综合管理系统对相关数据的计算与分析，实现对锂动力电池的智能化控制。文中以构建物联网背景下的锂动力电池智能综合管理系统为目标，首先分析了锂动力电池智能综合管理系统的基本结构，然后从系统物理层、系统网络层、系统应用层等层面出发，研究了锂动力电池智能综合管理系统的相关设计。     

报废动力电池回收自动拆解机设计

随着我国新能源电动汽车、储能新兴产业的快速发展,必将面临大量动力电池报废。文章结合动力电池生产企业的经验和需求,对报废动力电池精细拆解回收工艺流程进行了探索研究。针对方形动力电池进行了砂轮旋切、液压冲切、芯壳分离拆解工艺及机构设计,研制出自动拆解机在企业试运行,实现报废电池自动拆解芯壳分离。结合动力电池结构技术发展趋势,比较拆解节拍、拆解过程废料、刀具磨损等结果,液压冲切拆解工艺要优于砂轮旋切拆解工艺,建议企业规模化生产采用液压冲切拆解工艺设备。     

浅谈退役动力电池综合利用方法和发展路径

我国目前已是全球最大的动力电池市场,对退役动力电池进行多场景、多用途综合利用方法的研究必须走在大规模动力电池退役潮全面来临之前。做好电池回收和梯次利用工作,无论从经济、资源安全,还是环保的角度,都有很大的必要性和现实意义。国家层面始终高度重视动力蓄电池的回收与处理问题,管理力度不断加严。在此背景下,退役动力电池的综合利用遵循着先梯次再回收的原则,一直在探索更加符合行业发展需求的利用模式和回收路径。     

新能源汽车动力电池关键技术研究

在科技飞速发展及国家政策的大力支持下,新能源汽车已经在市场中获得广泛运用。对新能源汽车而言,选择一组好的动力电池至关重要。在生产实践中,动力电池的应用与污染控制、效能提升关键技术、成本控制等因素息息相关。文章对当前动力电池关键技术进行分析,同时在应用层面,针对动力电池评估、特性影响因素及电池管理系统进行探讨,旨为动力电池技术发展提供经验参考。     

An Overview to the Concept of Smart Coupling and Battery Management for Grid Connected Photovoltaic Battery System

The paper gives an overview on the need for smart coupling for battery management in grid integrated renewable energy system (RES). Grid integrated photovoltaic (PV) battery system, as being popular and extensively used has been discussed in the paper. Smart coupling refers to intelligent grid integration such that it can foresee local network conditions and issue battery power flow management strategy accordingly to shave the peak PV and peak load. Therefore, a need for predictive energy management arises for smart integration to the grid and supervision of the power flow in accordance to the grid conditions. This is also a running project at the Institute of Energy Systems (INES), Offenburg University of Applied Science, Germany since January, 2015. The paper should provide insights to the motivation, need and gives an outlook to the features of desired predictive energy management system (PEMS).     

A Trip to Oz and a Peak Behind the Curtain of Magnesium Batteries

The introduction of the Li‐ion battery has revolutionized the electronics industry due to its high energy density. Magnesium batteries may have the potential to exceed the energy densities of Li‐ion batteries. Herein, the major advancements in magnesium electrochemistry and the challenges that must be overcome to realize a practical magnesium battery are discussed. So too are the controversial realities of current magnesium battery research and their implications.     

微型蚂蚁激光供能系统设计

基于微型蚂蚁的太阳光供能技术,设计了一种微型蚂蚁激光供能系统,有效地克服了使用引线和电池供能所带来的不足以及太阳光供能方式对阳光的依赖．对激光供能系统的整体结构与部件进行分析,研究了能量转换装置的转换效率,讨论了传输过程中的能量损耗问题,论证了系统供能的可行性．实验采用半导体激光器提供能量,经透镜准直后照射到微型蚂蚁携带的光电池上转换成电能．激光对微型蚂蚁供能比太阳光有更高的供能效率。     

ADVISOR-based model of a battery and an ultra-capacitor energy source for hybrid electric vehicles

An energy source is the heart of a hybrid electric vehicle. If it is capable of supplying enough power at all times, then it is an adequate source. Major problems presently facing the industry include the size, cost, and efficiency of the energy source. The primary energy source presently used in automotive systems is a battery. In order to reduce the cost of the battery, the current needs to be decreased and stabilized so it is not very erratic. The purpose of this paper is to introduce and justify the use of a new model for an energy source: a battery in parallel with an ultra-capacitor. The ultra-capacitor can supply a large burst of current, but cannot store much energy. Conversely, the battery can store mass amounts of energy; however, without expensive and inefficient units, a battery cannot provide the current that the ultra-capacitor can. By combining the two energy sources in parallel, the storage and peak current characteristics desired can be achieved. The standards of the vehicle are not degraded, allowing this to be a promising technique to incorporate into hybrid electric vehicles to reduce their cost and increase the efficiency of their energy-source system.     

Sting Ray-a sound-seeking missile

The author describes the Sting Ray torpedo. The environments to which it is subjected and how they have influenced design, particularly of the casing, are discussed. The propulsion system is a magnesium-silver chloride battery with a seawater electrolyte driving an electric motor. The acoustic detection and tracking system and the homing and guidance system are also described. The warhead is of the directed energy type. The trials and production of Sting Ray are also discussed     

Energy Management Strategies for Modern Electric Vehicles Using MATLAB/Simulink

The paper describes the various energy management techniques that can be implemented for a modern electric vehicle by using MATLAB/Simulink. The Renault Twizy vehicle is considered for MATLAB simulation. Regenerative braking technique is discussed, in which the kinetic energy is converted to electricity to charge the battery of the vehicle when the brakes are applied or when the vehicle is moving down the hill. A solar photovoltaic (PV) on the roof-top of the vehicle is implemented to charge the battery used in the vehicle. The simulation results are highlighted and energy management strategies are presented. The results showed that the speed control of direct current (DC) motor during the motoring mode and regenerative braking mode was successfully achieved by using a bi-directional DC-DC converter and a proportional-integral (PI) controller at various reference speeds set by the user by applying a variable load torques to the motor. The size of solar PV on roof-top of the vehicle was found to be 280 W that charged the 48 V battery of the vehicle by using a bi-directional DC-DC converter, which was evaluated by using MATLAB/Simulink.     

氢燃料备用电源系统在通信基站中应用前景展望

本文介绍了一种新型后备电源系统--氢燃料备用电源系统。本文从氢燃料备用电源系统的技术原理和节能减排的角度讨论了氢燃料电源与普通铅酸电池作为通信基站备用电源的优劣,介绍了氢燃料备用电源系统国内外发展现状;提出氢燃料备用电源应用于目前传统基站与户外机柜的方案;最终得出现阶段氢燃料备用电源系统使用中面临的问题及解决方法,并对今后氢燃料备用电源系统在通信基站中的应用进行了展望。     

Battery-Aware Routing for Streaming Data Transmissions in Wireless Sensor Networks

Recent technological advances have made it possible to support long lifetime and large volume streaming data transmissions in sensor networks. A major challenge is to maximize the lifetime of battery-powered sensors to support such transmissions. Battery, as the power provider of the sensors, therefore emerges as the key factor for achieving high performance in such applications. Recent study in battery technology reveals that the behavior of battery discharging is more complex than we used to think. Battery powered sensors might waste a huge amount of energy if we do not carefully schedule and budget their discharging. In this paper we study the effect of battery behavior on routing for streaming data transmissions in wireless sensor networks. We first give an on-line computable energy model to mathematically model battery discharge behavior. We show that the model can capture and describe battery behavior accurately at low computational complexity and thus is suitable for on-line battery capacity computation. Based on this battery model we then present a battery-aware routing (BAR) protocol to schedule the routing in wireless sensor networks. The routing protocol is sensitive to the battery status of routing nodes and avoids energy loss. We use the battery data from actual sensors to evaluate the performance of our protocol. The results show that the battery-aware protocol proposed in this paper performs well and can save a significant amount of energy compared to existing routing protocols for streaming data transmissions. Network lifetime is also prolonged with maximum data throughput. As far as we know, this is the first work considering battery-awareness with an accurate analytical on-line computable battery model in sensor network routing. We believe the battery model can be used to explore other energy efficient schemes for wireless networks as well.     

钒电池系统用控制管理系统关键技术研究

目前,新能源应用比较广泛的就是太阳能和风能,而钒液流储能电池是其中非常重要的组成部分,属于一种蓄电储能装置,而在钒电池系统中,控制管理系统技术占据非常重大的意义,直接关系到整个系统的运行状态。基于这一情况,本文就针对钒电池系统用控制管理系统的关键技术开展研究,为我国的现代化建设提供一定的帮助,也为实现可持续发展奠定坚实的基础。     

独立光伏系统的储能技术研究

储能环节是独立光伏系统的重要组成部分,其优劣直接影响到光伏系统的好坏。文章简要介绍了独立光伏发电系统、储能技术的特殊要求,分析比较了各种储能技术的基本原理、技术特点、发展现状和储能技术在光伏系统中的适用性。