共查询到20条相似文献,搜索用时 304 毫秒
1.
基于燃料电池客车行驶特性和其能量流控制策略对镍氢蓄电池组的功能需求,依据试验数据分析了镍氢蓄电池脉冲功率容量、可用能量与放电深度的关系特性,从脉冲功率容量、充放电能量和放电深度等方面对燃料电池客车进行蓄电池组性能匹配。装车实践表明,该匹配方法高效可行,不仅极大地提高了车辆的机动性和制动能量回馈吸收,而且避免了以往蓄电池频繁处于过充过放状态的缺陷,提高了蓄电池性能并延长了其使用寿命。 相似文献
2.
为了提高插电式燃料电池混合动力汽车的经济性和燃料电池耐久性,在构建燃料电池衰退模型的基础上,制定等效氢气消耗最小(ECMS)的反馈优化控制策略。ECMS反馈优化控制策略中目标价值函数的等效氢气消耗除包括燃料电池氢气消耗和动力电池等效氢气消耗外,还将燃料电池开路电压衰退转化成等效的氢气消耗加入到目标价值函数之中,以电机需求功率Pm、动力电池SOC值为状态变量,动力电池目标功率为控制变量,取使目标价值函数最小的动力电池目标功率作为参考动力电池目标功率输出,并根据反馈的燃料电池电压衰退速率对燃料电池系统输出功率限制变化值ΔPf进行动态调整,最终得到燃料电池目标功率。通过MATLAB/Simulink建立插电式燃料电池汽车前向仿真模型,采用城市道路循环(UDDS)工况进行验证。研究结果表明:相比基于规则的能量管理策略,电量保持(CS)阶段采用ECMS反馈优化控制策略,氢气消耗量降低2.6%,同时燃料电池的开路电压衰退降低4.1%,基于ECMS的反馈优化控制策略相比基于规则的能量管理策略在高效区间的工作点占比更高;与ΔPf分别为1,2,3 kW时相比,采用燃料电池系统电压衰退速率反馈调节ΔPf策略的氢气消耗量为0.105 3 kg,相比ΔPf为1,2 kW的氢气消耗量(0.121 3,0.110 2 kg)有明显优化,接近ΔPf为3 kW的氢气消耗量(0.102 9 kg),同时燃料电池电压衰退速率有明显的减小,整车经济性与燃料电池耐久性都得到了改善。 相似文献
3.
4.
Using MATLAB/Simulink, we constructed a comprehensive simulation model for the fuel cell hybrid vehicle (FCHV) power train
in parallel with a power control strategy that uses a logic threshold approach implemented with a hybrid control unit (HCU).
The simulation implements power flow and power distribution under different vehicle operating modes using the accelerator
and decelerator pedal positions deduced from the driving schedule as primary inputs. The HCU control strategy also incorporates
regenerative braking and recharging for recovery of battery capacity. Using the D-optimality method for selection of the optimal
experiment values, three control threshold variables for the HCU are selected to maximize the hydrogen fuel economy under
certain driving cycles. The proposed method provides the optimal configuration of the FCHV model, which has the capability
of achieving the requested drive power while also meeting the vehicle driving schedule and recovery needs of the state of
charge (SOC) battery, with lower fuel consumption levels. 相似文献
5.
Erfan Taherzadeh Shahram Javadi Morteza Dabbaghjamanesh 《International Journal of Automotive Technology》2018,19(6):1061-1069
Recently Plug-in hybrid electric vehicles (PHEVs) have gained increasing attention due to their ability to reduce the fuel consumption and emissions. In this paper a new efficient power management strategy is proposed for a series PHEV. According to the battery state of charge (SOC) and vehicle power requirement, a new rule-based optimal power controller with four different operating modes is designed to improve the fuel economy of the vehicle. Furthermore, the teaching-learning based optimization (TLBO) method is employed to find the optimal engine power and battery power under the specified driving cycle while the fuel consumption is considered as the fitness function. In order to demonstrate the effectiveness of the proposed method, four different driving cycles with various numbers of driving distances for each driving cycle are selected for the simulation study. The performance of the proposed optimal power management strategy is compared with the rule-based power management method. The results verify that the proposed power management method could significantly improve the fuel economy of the series PHEV for different driving conditions. 相似文献
6.
7.
C. H. Zheng Y. I. Park W. S. Lim S. W. Cha 《International Journal of Automotive Technology》2012,13(3):517-522
The fuel economy of a fuel cell hybrid vehicle (FCHV) depends on its power management strategy because the strategy determines
the power split between the power sources. Several types of power management strategies have been developed to improve the
fuel economy of FCHVs. This paper proposes an optimal control scheme based on the Minimum Principle. This optimal control
provides the necessary optimality conditions that minimize the fuel consumption and optimize the power distribution between
the fuel cell system (FCS) and the battery during driving. In this optimal control, the final battery state of charge (SOC)
and the fuel consumption have an approximately proportional relationship. This relationship is expressed by a linear line,
and this line is defined as the optimal line in this research. The optimal lines for different vehicle masses and different
driving cycles are obtained and compared. This research presents a new method of fuel economy evaluation. The fuel economy
of other power management strategies can be evaluated based on the optimal lines. A rule-based power management strategy is
introduced, and its fuel economy is evaluated by the optimal line. 相似文献
8.
在我国,中重型货车是温室气体及污染物排放的主要贡献者,加快以柴油为主的中重型货车向电动化转型十分迫切,纯电动与燃料电池是当下最受重视的两条技术路线。纯电动路线在十多年的中短途运输和公共领域中的发展被证明是成功的;燃料电池路线在能量补给、能量密度等方面的优势比纯电动路线更适宜于长途重型货车的应用,目前正处于迅猛发展阶段。然而,以柴油牵引汽车为例,车辆可通过采用大油箱轻松达到 3 000 km的续驶里程,而当前的燃料电池牵引汽车的续驶里程正努力向500 km迈进,远不能与柴油汽车相比较。鉴于此,基于客户需求视角考虑,当下燃料电池重型货
车整车开发的主要矛盾,是过低的车载储氢量带来的续驶里程过低问题,这主要是由氢过低的体积存储密度决定的。提高燃料电池堆和燃料电池系统的能量转化效率虽然有助于提升续驶里程,但其前提是关键材料的技术突破。在当前整车开发中,最大限度地提升车载储氢量,降低辅助系统能耗,提高机械传动与电力电子系统效率,降低车辆行驶消耗更具有现实意义和可操作性。重点介绍在提升车载储氢量和降低车辆空气阻力系数方面的措施,以及对提升续驶里程的影响。按照《节能与新能源汽车技术路线图2.0》的愿景,能够实现燃料电池重型货车到2030年达到800 km的续驶里程的目标。 相似文献
9.
10.
11.
J. M. Pi Y. S. Bak Y. K. You D. H. Park H. S. Kim 《International Journal of Automotive Technology》2016,17(6):1101-1111
A route information based driving control algorithm was developed for an RE-EV which consists of two motorgenerators, MG1 and MG2. A threshold power which controls the engine on/off to charge the battery was obtained by an optimization process using route information, such as the vehicle velocity and altitude. The threshold power allows the vehicle to travel to the final destination while making the final battery SOC close to SOC low. Using the threshold power, route based control (RBC) was proposed by considering the driver’s characteristics and traffic conditions using the driving data base. In addition, a relationship between the threshold power and various initial battery SOC was obtained by off-line optimization. The performance of the RBC was evaluated by simulation and human-in-the-loop simulation (HILS) for city driving. It was found from the simulation and HILS results that the RBC achieved approximately 4 % to 12 % reduction in fuel consumption compared to the existing charge depleting/charge sustaining (CD/CS) driving control. 相似文献
12.
13.
C. H. Zheng Y. I. Park W. S. Lim S. W. Cha 《International Journal of Automotive Technology》2012,13(6):979-985
Fuel cell hybrid vehicles (FCHVs) have become one of the most promising candidates for future transportation due to current energy supply problem and environmental problem. Fuel economy is an important factor in FCHVs. In order to properly evaluate the fuel economy of an FCHV, the initial battery state of charge (SOC) and the final battery SOC have to be identical so that the effect of the battery energy usage on the fuel economy is neglected. In the simulation or in the real driving, however, the final battery SOC is usually different from the initial battery SOC, and the final battery SOC often depends on the power management strategy. To consider the difference between the two battery SOC values, the concept of equivalent fuel consumption is presented by two methods. One is based on the relationship between delta SOC and delta fuel consumption, and the other is based on the optimal control theory. Two rule-based power management strategies for an FCHV are presented, and for each strategy, the fuel economy is evaluated based on the two methods. The characteristics of the two methods are discussed and compared, and the superior one is selected based on the comparison. 相似文献
14.
通过软件ADVISOR对燃料电池电动车和各子系统进行了建模并对整车性能进行了仿真。仿真结果显示,在某种混合度下整车燃料经济性较高。通过仿真过程分析,描述了不同行驶循环的动力性要求、两供能部件效率以及混合度三者之间的相互影响和复杂关系,并给出了结论。 相似文献
15.
Seokjoo Kwon Minkyung Kang Youngho Seo Sungwook Park 《International Journal of Automotive Technology》2018,19(2):253-261
In this study, the influence on fuel economy testing of gasoline-powered vehicles is evaluated for various test conditions (e.g., laboratory temperature, soaking time, cooling fan, battery charge state, and driving mode tracking). It showed a difference in fuel economy results of approximately 3 % between low (88 %) and high (99 %) battery state of charge conditions because the alternator saving function has a positive effect on fuel economy. Fuel economy testing with laboratory temperature changes gave a slight reduction at 21 °C and slight increase at 29 °C. The cooling fan changes had an almost negligible effect on fuel consumption. The largest fuel economy result varied by 5.2 % in the soft, standard, and rough driving conditions. 相似文献
16.
17.
为了充分发挥混合动力汽车的优越性,文章以整车燃油经济性的评价为基础,通过分析混合动力汽车动力系统的组成,建立了燃油经济性最佳的数学模型;依据考虑汽车的动力性和动力电池的荷电系数要求,使用复合形优化方法对目标函数进行了优化:并利用具体车型对优化方法进行了验证。结果表明,100km油耗降低21%,经济性得到较大提高,动力性仍然保持设计要求?指出采用逆向求解的手段来获得汽车的燃油经济性,并以其为目标函数开发的优化设计系统,能较好地改善汽车的燃油经济性,此优化方法对普通汽车的传动系统优化也具有参考作用。 相似文献
18.
为了提高插电式混合动力汽车(PHEV)在电量保持下的燃油经济性,并解决插电式混合动力汽车在运行过程中动力元件效率对系统能量利用率影响的问题,制定了系统效率最优的控制策略。以PHEV关键动力部件的测试数据为基础,建立发动机、驱动电机、无级变速器(CVT)以及动力电池等关键部件的效率数值模型,并考虑了温度及荷电状态(SOC)对动力电池充放电功率的影响。设计以混合动力系统效率最优为适应度评价函数,将CVT速比、发动机转矩作为优化变量,以车速、加速度和SOC为状态变量,在动力性指标的约束下,运用遗传算法进行迭代寻优,PHEV的系统效率在第20代左右收敛于全局最优值。同时发动机转矩和CVT速比通过多代遗传进化,较快收敛于最佳值。将相关优化结果与车速、加速度拟合成相应的三维控制数表,综合数值建模和试验测试数据建模的方法,基于MATLAB/Simulink搭建插电式混合动力汽车整车控制策略仿真模型,采用新欧洲行驶循环工况进行仿真验证。结果表明:插电式混合动力汽车在电量保持模式下,利用遗传算法优化的系统效率最优控制策略相比优化前,动力电池SOC运行更为平稳,CVT效率有所提升,驱动电机及发动机转矩分配更为合理;百公里燃油消耗量从优化前的5.2 L降至4.5 L,燃油经济性提升了13.5%。 相似文献
19.
首先分析燃料电池的特性得出了动力总成结构配置的优化解决方案,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;最后基于典型的客车循环工况,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对混合动力系统的两种能量管理策略进行优化仿真,其结果符合设计要求。 相似文献
20.
为了提高动力电池组低温环境下的放电效率,针对增程式电动车低温行车条件,考虑电池组预热过程中单体温度的不一致及单体排布等因素的影响,进行增程式电动车动力电池组低温行车预热策略研究。采用Chrom_17011充放电测试机及高低温恒温箱对26650磷酸铁锂电池单体进行低温试验与AMESim模型仿真对比的方法验证预热模型的精度,分析发动机怠速为电池组进行预热时,水泵转速、串行通风鼓风量、串行通道单体数量及单体与单体之间的间隙对电池包内入、出口单体温差的影响。通过整车仿真,分析行车预热策略与传统CDCS策略在不同环境温度下对等价燃油消耗量的影响。研究结果表明:在单体排布间距固定和水泵转速为800 r·min-1的条件下,电池包串行通风风量越大,串行通道入、出口单体温差越小,单体预热时间相对较长,且在串行通风风量不小于3 g·s-1的条件下,能满足电池包串行通道最大温差小于5℃的要求;环境温度在-20℃时,行车预热策略比CDCS策略等价燃油消耗率降低16.25%,纯电动续驶里程增加9.95 km;其影响等价燃油消耗率的因素有制动能量回收量和内阻消耗量,内阻消耗量是影响等价燃油消耗率升高的主要因素。 相似文献