电喷摩托车发动机与标定技术

介绍了电喷摩托车发动机电喷参数的采集和标定系统;同时针对电喷摩托车的技术要求,介绍了基于XC164CM单片机的摩托车电喷系统的主要标定内容及其标定方法;并就电喷摩托车及其发动机的重要运行工况及排放特性的标定进行了讨论。     

FAI电喷摩托车故障诊断技术的研究

本文介绍了FAI电喷摩托车发动机远程故障诊断专家系统诊断模块的开发过程。该系统的故障诊断模块采用在线诊断与离线诊断相结合的方法,模仿了专家在诊断过程中推理的思维特点,提高了诊断复杂故障的效率。     

摩托车电喷系统的匹配技术及其开发系统的研究

本文介绍了我国摩托车工业及其排放法规的发展状况。介绍了摩托车针对控制油耗和降低排放问题所采用的电喷系统方案，提出了摩托车电喷系统的匹配技术以及新研制的摩托车电喷系统的开发平台的技术特点。     

电喷摩托车发动机的燃烧优化研究

介绍了电喷摩托车发动机燃烧过程优化的必要性以及自主研发的测试标定系统。电喷系统是实现发动机燃烧优化的有效技术平台；通过电喷发动机燃烧过程的优化标定，可以使电喷发动机的动力性、经济性和排放性能等综合能力得到充分应用和发挥。     

电喷摩托车混合气的管理

本文介绍了电喷摩托车进气系统的组成以及电喷系统对空气进气量的计量和控制方式.同时就节气门体总成的结构和技术要点,特别是电子节气门ETC的控制技术进行了讨论.研究表明,混合气的管理对电喷摩托车的综合性能至关重要.     

FAI电喷摩托车工作状态监测及系统诊断

本文介绍了FAI电喷摩托车系统部件的工作状态监测原理和方法，以及一种针对FAI电喷摩托车售后服务所开发的诊断仪。该诊断仪为全数字式仪器，能全面指示FAI电喷系统主要部件的瞬时工作状态及故障情况，可随车使用，结构简单，方便可靠。不仅为电喷摩托车的维修提供了有效的检测工具，而且也为电喷系统开发提供了便利。     

电喷摩托车的数据传输和远程通讯

文章介绍了电喷摩托车的数据流及常用的数据通讯模式,对比分析了其相互之间的特点以及对硬软件环境的要求。介绍了先进的电喷摩托车数据记录仪和远程通讯技术,以及对实现快速技术服务的作用。     

焦炉煤气电喷发电机组可靠性的试验研究

本论文主要介绍了焦炉煤气电喷发电机组在某焦化厂电站试验的整个过程,对机组的配置做了基本描述,分析了电喷控制系统在不同控制模式下的机组工况,着重分析了电喷阀可靠性对机组在目标功率600kW运行的影响,针对出现的活塞环岸损坏问题做了详细分析;通过以上试验研究,验证了电喷阀可靠性对机组正常运行起着至关重要的作用。     

氧传感器在诊断电喷发动机故障中的应用

电喷发动机中的氧传感器是电子控制燃油喷射系统中重要的传感器之一.氧传感器可以对发动机气缸内部的燃烧起监控和指示作用.笔者在电喷发动机故障诊断试验台上,通过测取发动机相关参数及氧传感器波形等信号,验证氧传感器在诊断电喷发动机故障中的作用.     

谈电喷发动机使用维修操作技巧

不同电喷发动机虽然在结构和控制原理方面有所不同,但在使用维修上却有相同之处,现介绍电喷发动机使用维修上的一些操作技巧。     

Optimized rule-based energy management for a polymer electrolyte membrane fuel cell/battery hybrid power system using a genetic algorithm

The polymer electrolyte membrane fuel cell (PEMFC) coupled with the battery is a promising hybrid power system for future energy supply application. Fuel cell durability, battery charge sustenance, and fuel consumption strongly rely on the energy management strategy (EMS). This paper puts forward an optimized rule-based EMS using genetic algorithm (GA) to optimally allocate the power between the fuel cell and the battery system. Control variables in real-time rule-based EMS are optimally adjusted with single objective of battery charge sustenance considering the fuel cell durability and efficiency. The proposed optimized rule-based EMS is simulated and experimentally verified via MATLAB/Simulink and LabVIEW-based experimental rig, respectively. The conventional rule-based EMS, fuzzy logic EMS, and dynamic programming (DP) EMS are also examined for comparison. The comparison results elucidate that the optimized rule-based EMS realizes a large performance improvement over the conventional rule-based and fuzzy logic EMSs. Near optimal performance is verified compared with DP EMS in terms of fuel economy, battery charge sustenance, fuel cell efficiency, and system durability. The combination of rule-based EMS and GA optimization algorithm has the advantage of having expert experience and global optimization properties, realizing optimal power allocation in real-time application with lower computation burden, which could be applied easily to other EMS system without loss of validity.     

基于ASP的EMS考核管理信息发布系统

基于动态服务器页面，并综合应用Java Applet技术研发了EMS考核管理信息发布系统，使用该系统，运行管理人员可通过互联网实时查看EMS系统的考核信息，据此调整EMS系统的运行参数，保证EMS系统的安全、优质、经济运行。     

汽车柴油机电控管理系统的初步研究

汽车柴油机管理系统是汽车电子控制研究中的重要内容。作者介绍了以机电混合式调速器为硬件基础的管理系统,阐述了与管理系统相关的其他软,硬件,提出了管理系统的一些基本控制算法。     

Optimized power management based on adaptive-PMP algorithm for a stationary PEM fuel cell/battery hybrid system

This research develops an efficient and robust polymer electrolyte membrane (PEM) fuel cell/battery hybrid operating system. The entire system possesses its own rapid dynamic response benefited from hybrid connection and power split characteristics due to DC/DC buck-boost converter. An indispensable energy management system (EMS) plays a significant role in achieving optimal fuel economy and in a promising running stability. EMS as an indispensable part plays a significant role in achieving optimal fuel economy and promising operation stability. This study aims to develop an adaptive supervisory EMS that comprises computer-aided engineering tools to monitor, control, and optimize the performance of the hybrid power system. A stationary fuel cell/battery hybrid operating system is optimized using adaptive-Pontryagin's minimum principle (A-PMP). The proposed algorithm depends on the adaptation of the control parameter (i.e., fuel cell output power) from the state of charge (SOC) and load power feedback. The integrated model simulated in a Matlab/Simulink environment includes the fuel cell, battery, DC/DC converter, and power requirements models by analyzing the three different load profiles. Real-time experiments are performed to verify the effectiveness of EMS after analyzing the simulated operating principle and control scheme.     

Long-term optimization based on PSO of a grid-connected renewable energy/battery/hydrogen hybrid system

This paper presents and evaluates three energy management systems (EMSs) based on Particle Swarm Optimization (PSO) for long-term operation optimization of a grid-connected hybrid system. It is composed of wind turbine (WT) and photovoltaic (PV) panels as primary energy sources, and hydrogen system (fuel cell –FC–, electrolyzer and hydrogen storage tank) and battery as energy storage system (ESS). The EMSs are responsible for making the hybrid system produce the demanded power, deciding on the energy dispatch among the ESS devices. The first PSO-based EMS tries to minimize the ESS utilization costs, the second one to maximize the ESS efficiency, and the third one to optimize the lifetime of the ESS devices. Long-term simulations of 25 years (expected lifetime of the hybrid system) are shown in order to demonstrate the right performance of the three EMSs and their differences. The simulations show that: 1) each EMS outperforms the others in the designed target; and 2) the third EMS is considered the best EMS, because it needs the least ESS devices, and presents the lowest total acquisition cost of hybrid system, whereas the rest of parameters are similar to the best values obtained by the other EMSs.     

Optimal energy management strategy of fuel-cell battery hybrid electric mining truck to achieve minimum lifecycle operation costs

Proton exchange membrane fuel cell (PEMFC) electric vehicle is an effective solution for improving fuel efficiency and onboard emissions, taking advantage of the high energy density and short refuelling time. However, the higher cost and short life of the PEMFC system and battery in an electric vehicle prohibit the fuel cell electric vehicle (FCEV) from becoming the mainstream transportation solution. The fuel efficiency-oriented energy management strategy (EMS) cannot guarantee the improvement of total operating costs. This paper proposes an EMS to minimize the overall operation costs of FCEVs, including the cost of hydrogen fuel, as well as the cost associated with the degradations of the PEMFC system and battery energy storage system (ESS). Based on the PEMFC and battery performance degradation models, their remaining useful life (RUL) models are introduced. The control parameters of the EMS are then optimized using a meta-model based global optimization algorithm. This study presents a new optimal control method for a large mining truck operating on a real closed-road operation cycle, using the combined energy efficiency and performance degradation cost measures of the PEMFC system and lithium-ion battery ESS. Simulation results showed that the proposed EMS could improve the total operating costs and the life of the FCEV.     

Optimal energy management system for stand-alone wind turbine/photovoltaic/hydrogen/battery hybrid system with supervisory control based on fuzzy logic

This paper presents a novel hourly energy management system (EMS) for a stand-alone hybrid renewable energy system (HRES). The HRES is composed of a wind turbine (WT) and photovoltaic (PV) solar panels as primary energy sources, and two energy storage systems (ESS), which are a hydrogen subsystem and a battery. The WT and PV panels are made to work at maximum power point, whereas the battery and the hydrogen subsystem, which is composed of fuel cell (FC), electrolyzer and hydrogen storage tank, act as support and storage system. The EMS uses a fuzzy logic control to satisfy the energy demanded by the load and maintain the state-of-charge (SOC) of the battery and the hydrogen tank level between certain target margins, while trying to optimize the utilization cost and lifetime of the ESS. Commercial available components and an expected life of the HRES of 25 years were considered in this study. Simulation results show that the proposed control meets the objectives established for the EMS of the HRES, and achieves a total cost saving of 13% over other simpler EMS based on control states presented in this paper.     

新型电控发动机开发标定系统的设计与实现

从硬件、软件两个方面分别介绍了新型电控发动机开发标定系统的设计与实现。该系统由传感器、执行器、电控单元ECU、串行通讯模块以及上位机组成,可以实现数据实时采集、显示,数据保存,实时动态曲线绘制,离线数据回放,控制参数在线修改、调试的功能。该系统的建立为电控喷射摩托车发动机的优化匹配提供了技术平台。