燃料电池汽车动力总成结构配置及参数优化匹配

结合燃料电池大客车动力系统的实际开发过程,分3个步骤阐述燃料电池汽车动力总成结构配置和参数匹配的一般方法。第1步,通过分析燃料电池的特性论证了动力总成结构配置的优化解决方案。第2步,通过分析不同类型功率部件特性阐述了主要功率部件选型的依据,并且根据设计性能要求进行动力总成主要部件基本参数设计。第3步,进行燃料电池混合动力总成参数优化匹配的研究。仿真和实验台测试的结果证明所设计的燃料电池大客车动力总成满足要求。     

燃料电池电动汽车能量管理系统研究

提出多能源燃料电池加镍氢电池及超级电容燃料电池电动汽车混合动力系统的方案,并设计了动力系统结构。通过比较车载3种能源,给出了动力总成控制系统结构,重点对能量管理系统进行优化,采取燃料电池发动机输出功率预测控制策略,减少了其输出功率的频繁波动。仿真结果证明能量管理策略可行。     

燃料电池混合动力汽车动力系统匹配与优化研究

首先,基于中国客车典型循环工况对燃料电池混合动力系统进行匹配计算,确定了电动机、燃料电池发动机和蓄电池的基本参数;然后基于中国客车典型循环工况,建立燃料电池混合动力系统的优化模型,采用序列二次规划算法进行优化,分析了各种参数对整车燃料经济性的影响,包括燃料电池发动机与动力蓄电池之间的功率分配比、SOC的初始值与目标值、变速器传动比及传动比间隔以及主减速比等,为燃料电池混合动力汽车的构型提供指导。     

某混合动力客车动力总成悬置系统的设计计算

动力系统作为混合动力客车的主要振源之一,其悬置系统工作性能直接影响着混合动力客车的振动与噪声水平。本文利用动力总成悬置系统设计的基本理论,对某混合动力大客车动力总成悬置系统进行设计和计算。     

混合动力汽车动力系统选型分析

随着全球石油资源短缺,全球环境恶化给我们带来的生活压力越来越大,混合动力汽车可以有效地改善日益加剧的环境问题。文章在某车型的基础上,根据汽车行驶要求和理论,先确定动力总成方案,然后对混合动力汽车的电机、电池和传动比进行了精确地计算和选型分析。选定的动力系统总成能够满足混合动力汽车的各项动力性能要求,指出基于原车的动力系统选型能够保证混合动力汽车动力性要求,而且易于改进。     

燃料电池汽车动力系统模块化集成设计探讨

文章结合实际项目案例,阐述了一种燃料电池动力系统模块化集成设计的思想、方法。将模块化的燃料电池动力系统集成布置于发动机舱,使之适应传统汽车车身平台,类似于传统汽车动力总成的装配方式。     

基于ADVISOR仿真的混合动力客车动力系统匹配研究

分析一种单轴并联式混合动力系统的工作原理,对动力总成关键部件进行匹配计算。在Matlab/Simulink环境下,对电动汽车仿真软件ADVISOR进行二次开发,嵌入动力系统的控制策略,对整车进行动力性和经济性仿真分析,为混合动力客车动力系统的匹配设计提供参考。     

氢燃料电池整车动力系统参数匹配方法研究

燃料电池整车动力匹配在燃料电池整车研发设计中属于十分重要的一环,直接关系到燃料电池整车动力性和经济性,但目前市面上暂无成熟的动力系统参数匹配方法。基于上述情况,结合已开发的全功率和混合动力架构车型,以整车指标为基础,结合动力学理论以及测试经验,提出燃料电池汽车动力系统参数匹配方法,并选择全功率和混合动力车型进行实车验证,进一步证实了该整车动力匹配方法的合理性,对燃料电池整车动力匹配集成以及参数选型有较好的借鉴意义。     

面向低油耗的燃料电池乘用车动力系统匹配设计

在绿色省能、零污染的燃料电池汽车的基础上,为提高“电-电”混合动力汽车的协调稳定性、动力系统的效率,满足动态性能的要求,开展对燃料电池/蓄电池的电-电混合动力汽车的动力系统匹配设计。文章以燃料电池汽车为研究对象,依据整车动力性能经济性指标开展了驱动电机、燃料电池系统、动力蓄电池系统的选型与参数匹配,引用混合度定义,考虑燃料电池和蓄电池混合动力系统间的功率配合,使用Advisor车辆仿真软件对常见工况下的各种匹配方案进行仿真计算。结果表明,从动力性以及燃油经济性方面,所确定的动力系统匹配设计方案具有一定的可行性,且符合车辆设计指标,即燃料电池（34 kW）与锂离子蓄电池（46 kW）的最佳匹配。两动力源之间合理的功率配合能够有效提高整车动力性,确保经济性,从而降低车辆的平均运行成本。     

某轻型混合动力军用越野车动力系统匹配

本文基于混合动力军用越野车的特殊工况需求,对动力系统的功率、扭矩等要求进行了分析,对动力系统总成选型条件进行了完善。对不同工况下对驱动电机的功率、扭矩需求分别进行了分析。最后以此为基础对某轻型混合动力军用越野车的动力系统进行了匹配。匹配结果显示,相关指标达到要求,相对同吨位传统车辆,加速性能显著提高。     

Development of fuel cell hybrid powertrain research platform based on dynamic testbed

An experimental research platform based on a dynamic testbed is developed and applied for fuel cell hybrid powertrain integration and control. A driver brake model is added to the dynamic testbed to simulate the braking process of an electric vehicle. Sub-systems of the fuel cell hybrid powertrain are tested, and characteristic parameters are obtained. A simulation platform is constructed in LabVIEW environment, and its validity is verified by dynamic test results. A real time control system is developed with an embedded PC for the function of rapid control prototyping. Using this platform, fuel cell battery hybrid and fuel cell supercapacitor hybrid configurations are investigated. This platform provides a powerful tool for fuel cell powertrain research and development.     

Plug-in HEV with CVT: configuration,control, and its concurrent multi-objective optimization by evolutionary algorithm

Plug-in Hybrid Electric Vehicle (Plug-in HEV) has dramatic improvements in fuel economy and emission reduction. It is most important to decide its optimal configuration, energy management strategy, powertrain sizes, and control logic parameters. For multi-objective optimization, we present a concurrent optimization methodology based on an optimal Plug-in HEV powertrain configuration with continuous variable transmission (CVT). The novelty is using evolutionary algorithm in conjunction with an instantaneous optimal energy management strategy. Simulation results indicate the proposed method can significantly reduce fuel consumption and emissions by simultaneously optimizing the propulsion system parameters as well as the energy control parameters.     

PSO algorithm-based parameter optimization for HEV powertrain and its control strategy

The coordination between the powertrain and control strategy has significant impacts on the operating performance of hybrid electric vehicles (HEVs). A comprehensive methodology based on Particle Swarm Optimization (PSO) is presented in this paper to achieve parameter optimization for both the powertrain and the control strategy, with the aim of reducing fuel consumption, exhaust emissions, and manufacturing costs of the HEV. The original multi-objective optimization problem is converted into a single-objective problem with a goal-attainment method, and the principal parameters of powertrain and control strategy are set as the optimized variables by PSO, with the dynamic performance index of HEVs being defined as the constraint condition. Computer simulations were carried out, which showed that the PSO scheme gives preferable results in comparison to the ADVISOR method. Therefore, fuel consumption and exhaust emissions of HEVs can be effectively reduced without sacrificing dynamic performance of HEVs.     

燃料电池汽车动力系统运行效率研究

介绍了燃料电池汽车动力系统的结构和工作原理,结合动力系统的功率分布、能流图对燃料电池动力系统运行效率进行了深入研究.最后从零部件效率、动力系统匹配、动力系统结构以及控制策略4方面对系统运行效率的影响进行敏感度分析,为燃料电池汽车动力系统开发提供了参考依据和理论基础.     

燃料电池轿车动力系统线性二次型最优控制研究

建立了包括燃料电池发动机、电机及其控制器、动力蓄电池组在内的燃料电池轿车动力系统的动态数学模型,根据系统的噪声特性,将动力系统线性二次型最优控制问题归结为线性二次型高斯问题,并建立了考虑随机干扰的燃料电池轿车动力系统线性二次型最优动力控制算法。离线仿真和实车转鼓试验证明,该算法能够充分考虑动力系统主要部件的动力性和经济性,具有一定的实用价值。     

燃料电池城市客车动力驱动系统的合理匹配研究

为实现国家"十一五"863重大科研项目——燃料电池城市客车专项的燃料电池城市客车动力性能指标,建立了燃料电池城市客车的整车动力系统结构形式,进而完成新样车的概念设计。对实际目标样车动力驱动系统不同部件(包括电机、变速器、燃料电池、蓄电池)性能参数的合理匹配理论和过程进行了详尽的研究。建立了基于电压控制策略的动力驱动系统仿真模型。仿真结果达到目标样车的动力性能指标,同时建立的仿真模型对进一步深入研究整车控制策略的优化具有重要指导意义。匹配理论和仿真模型对其他类型的电动汽车研究具有一定的参考价值。     

Design methodology of hybrid electric vehicle energy sources: Application to fuel cell vehicles

This paper presents a methodology to optimize the sizing of the energy and power components in a fuel cell electric vehicle from the driving mission (which includes driving cycles, a specified acceleration and autonomy requirements). The fuel cell and the Energy Storage System associated (battery or/and ultra capacitor) design parameters are the numbers of series and parallel branches respectively Nsi and Npi. They are set so as to minimize the objective function that includes mass, cost, fulfilling the performance requirements and respect the technological constraints of each power component through a penalty function. The methodology is based on a judicious combination of Matlab-Simulink® for the global simulation and a dedicated software tool Pro@Design®. Both are well suited to treat inverse problems for the optimization. An application for a fuel cell/battery powertrain illustrates the feasibility of the proposed methodology.     

汽车动力总成结构参数敏感性研究

定义了结构参数敏感度.以整车动力总成优化为例,对影响汽车动力性及燃油经济性的动力总成结构参数进行了敏感度数学分析.针对某车型,利用AVL Cruise模拟软件绘制了敏感度曲线,得到了不同参数对性能指标的敏感度排序,并对各参数敏感度变化进行了比较和分析,从而提出了动力总成优化方案.优化后该样车的NEDC百公里油耗降低.     

Economic value and utility of a powertrain system for a plug-in parallel diesel hybrid electric bus

This research is the first to develop a design for a powertain system of a plug-in parallel diesel hybrid electric bus equipped with a continuously variable transmission (CVT) and presents a new design paradigm of the plug-in hybrid electric bus (HEB). The criteria and method for selecting and sizing powertrain components equipped in the plug-in HEB are presented. The plug-in HEB is designed to overcome the vulnerable limitations of driving range and performance of a purely electric vehicle (EV) and to improve fuel economy and exhaust emissions of conventional bus and conventional HEBs. The control strategy of the complicated connected propulsion system in the plug-in parallel HEB is one of the most significant factors in achieving higher fuel economy and lower exhaust emissions of the HEV. In this research, a new optimal control strategy concept is proposed against existing rule-based control strategies. The optimal powertrain control strategy is obtained through two steps of optimizations: tradeoff optimization for emission control and energy flow optimization based on the instantaneous optimization technique. The proposed powertrain control strategy has the flexibility to adapt to battery SOC, exhaust emission amount, classified driving pattern, driving condition, and engine temperature. The objective of the optimal control strategy is to optimize the fuel consumption, electricity use, and exhaust emissions proper to the performance targets. The proposed control strategy was simulated to prove its validity by using analysis simulation tool ADVISOR (advanced vehicle simulator).