共查询到20条相似文献,搜索用时 31 毫秒
1.
B. Suh A. Frank Y. J. Chung E. Y. Lee Y. H. Chang S. B. Han 《International Journal of Automotive Technology》2010,11(4):555-563
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). 相似文献
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B. Suh Y. H. Chang S. B. Han Y. J. Chung 《International Journal of Automotive Technology》2012,13(5):701-711
The plug-in hybrid electric bus (HEB) is designed to overcome the vulnerable driving range and performance limitations of a purely electric vehicle (EV) and have an improved fuel economy and lower exhaust emissions than those of a conventional bus and convention HEBs. The control strategy of the plug-in parallel HEB??s complicated connected propulsion system is one of the most significant factors for achieving a higher fuel economy and lower exhaust emissions than those of the HEV. The proposed powertrain control strategy has flexibility in adapting to the battery??s state of charge (SOC), exhaust emissions, classified driving patterns, driving conditions, and engine temperature. Simulation is required to model hybrid powertrain systems and test and develop powertrain control strategies for the plug-in parallel HEB. This paper describes the simulation analysis tools, powertrain components?? models and modifications, simulation procedure, and simulation results. 相似文献
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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. 相似文献
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B. Suh A. Frank Y. J. Chung E. Y. Lee Y. H. Chang S. B. Han 《International Journal of Automotive Technology》2011,12(1):131-139
This research concerns the design of a powertrain system for a plug-in parallel diesel hybrid electric bus equipped with a
continuously variable transmission (CVT) and presents a new design paradigm for 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 it is also designed to improve the fuel economy and exhaust emissions of conventional buses and conventional HEBs. Optimization
of the control strategy for the complicated and interconnected propulsion system in the plug-in parallel HEB is one of the
most significant factors for achieving higher fuel economy and lower exhaust emissions in the hybrid electric vehicle (HEV).
In this research, the proposed control strategy was simulated to prove its validity using the ADVISOR (advanced vehicle simulator)
analysis simulation tool. 相似文献
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W. Zhuang X. Zhang D. Zhao H. Peng L. Wang 《International Journal of Automotive Technology》2016,17(2):299-309
Many of today’s power-split hybrid electric vehicles (HEVs) utilize planetary gears (PGs) to connect the powertrain elements together. Recent power-split HEVs tend to use two PGs and some of them have multiple modes to achieve better fuel economy and driving performance. Looking to the future, hybrid powertrain technologies must be enhanced to design hybrid light trucks. For light trucks, the need for multi-mode and more PGs is stronger, to achieve the required performance. To systematically explore all the possible designs of multi-mode HEVs with three PGs, an efficient searching and optimization methodology is proposed. All possible clutch topology and modes for one existing configuration that uses three PGs were exhaustively searched. The launching performance is first used to screen out designs that fail to satisfy the required launching performance. A near-optimal and computationally efficient energy management strategy was then employed to identify designs that achieve good fuel economy. The proposed design process successfully identify 8 designs that achieve better launching performance and better fuel economy, while using fewer number of clutches than the benchmark and a patented design. 相似文献
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This paper presents the optimization of key component sizes and control strategy for parallel hybrid electric vehicles (parallel HEVs) using the bees algorithm (BA). The BA is an intelligent optimization tool that mimics the food foraging behavior of honey bees. Parallel HEV configuration and electric assist control strategy were used to conduct the research. The values of the key component size and the control strategy parameters were adjusted according to the BA to minimize the weighted sum of fuel consumption (FC) and emissions, while the vehicle performance satisfies the PNGV constraints. In this research, the software ADVISOR was used as the simulation tool, and the driving cycles FTP, ECE-EUDC and UDDS were employed to evaluate FC, emission and dynamic performance. The results demonstrate that the BA is a powerful tool in parallel HEV optimization to determine the optimal parameters of component sizes and control strategy, resulting in the improvement of FC and emissions without sacrificing vehicle performance. In addition, the BA is able to define a global solution with a high rate of convergence. 相似文献
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S. B. Han Y. H. Chang E. Y. Lee Y. J. Chung B. Suh 《International Journal of Automotive Technology》2010,11(1):105-110
Hybrids combine a combustion engine with an electric motor and battery. The two technologies can be combined to reduce fuel
consumption and exhaust emissions. This paper presents the concept of hybrid electric vehicles (HEVs) applied to truck or
van vehicles with diesel engines. The simulation results from the advanced vehicle simulator (ADVISOR) demonstrate that the
required power may be properly shared between the internal combustion engine and electric motor. The simulation can also be
used to prove that the technique is useful for improvements in driving performance; additionally, the technique is suitable
for hybrid electric vehicles, allowing for good fuel economy and low emissions performance. 相似文献
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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。 相似文献
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针对增程式电动汽车动力系统参数匹配的问题,在Simulink-Cruise联合仿真平台上建立了用于匹配设计的整车初始模型,提出了基于典型工况统计分析的匹配设计方法,对增程式动力系统进行了稳态匹配。为了进一步验证设计参数的合理性,采用恒温式定点控制策略和CD-CS型最优曲线功率跟随控制策略进行了仿真对比分析,验证了匹配参数的合理性。以燃油经济性、发动机启停次数和平均充电电流为目标,基于粒子群算法对控制参数进行了多目标优化。优化结果表明,优化后的控制策略使整车在目标工况下的百公里综合油耗下降了7.2%,平均充电电流下降了3.1%,优化后的控制参数使整车性能和电池寿命都有所提升,为进一步的控制策略制定和优化奠定了基础。 相似文献
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This paper proposes a design and implementation of an auxiliary mode, hybrid electric scooter (HES) by means of more cost-effective way for improving scooter’s performance and efficiency. The HES is built in a parallel hybrid configuration with a 24V 370W auxiliary power electric motor, a 24V 20AH battery, and an electronically controlled fuel injection internal combustion engine (ICE) scooter. In contrast to hybrid electric vehicles (HEVs), the issues concerning cost, volume, and reliability are even more rigorous when developing hybrid electric scooters (HESs). Therefore, the drive topology and control strategy used in HEV cannot be applied to HES directly. In order to hasten the developing phase and achieve the parametric tune-up of the HES component, a dynamic simulation model for the HES is developed here. Because the powertrain system is complex and nonlinear in nature, the simulation model utilizes mathematical models in tandem with accumulated experimental data. The method about the mathematical model construction, analysis and simulation of the hybrid powertrain used in a scooter are fully described. The efficacy of the model was verified experimentally on a scooter chassis dynamometer and the performance of the proposed hybrid powertrain is studied using the developed model under a representative urban driving cycle. Finally, Simulation and experimental results confirm the feasibility and prosperity of the proposed hybrid HES and indicate that the designed hybrid system can improve the fuel consumption rate up to 15% compared with the original scooter. 相似文献
13.
基于某高速汽油机,对燃烧室结构、燃油喷射特性、凸轮型线改型设计为稀薄燃烧发动机。提出利用响应面模型对正时策略进行分析和优化的研究方法,并建立利用响应面进行多目标优化计算的流程。以提高有效功率和降低有效燃油消耗率为优化目标,以点火正时、空燃比和进排气正时为设计变量,建立了发动机性能与响应面耦合优化模型。分析与试验结果表明:较标准混合比燃烧时,稀薄燃烧发动机的进排气提前角减小,点火正时提前,最低燃油消耗率下降3.9%,最大功率提升9.7%;同时利用响应面优化方法提高了优化效率。 相似文献
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A. Boukehili Y. T. Zhang Q. Zhao C. Q. Ni H. F. Su G. J. Huang 《International Journal of Automotive Technology》2012,13(6):987-998
The power management strategy in many hybrid vehicles is based on expert rules and thresholds. These rule-based strategies can result in good efficiency in term of fuel economy and emissions if their thresholds and rules are accurate. However, due to the complexity and the non-linearity of the hybrid powertrain, determining accurate thresholds and rules is neither explicit nor straightforward, and experts in most cases fail to define these thresholds and rules with enough accuracy. Based on this fact, the objective of this paper is to propose a method to improve this rule-based strategy by refining its thresholds and rules. To achieve this, we used an optimization method (dynamic programming) to calculate the optimal power management, determine the optimal control signals, and extract efficient thresholds and rules that can be used in real time. Finally, simulation results for the three strategies (optimal, simple and refined strategy) are shown and discussed. 相似文献
16.
混合动力电动汽车模糊逻辑控制策略的研究与仿真 总被引:6,自引:0,他引:6
以四川汽车工业集团野马混合动力电动汽车设计要求为基础,提出了一种混合动力电动汽车模糊逻辑控制策略。这种策略通过对油耗和各排放参数动态地分配权重值确定出发动机的最佳转矩,然后再根据模糊控制原理,以电池SOC值、汽车驱动需求的输出转矩和电动机转速为模糊输入确定出发动机的实际输出转矩,最终实现整车油耗和排放的综合优化。通过在S imu link软件中搭建该控制策略的仿真模型并与基础的电力辅助控制策略相比较,证明了这种控制策略有利于整车运行经济性和环保性的提高。 相似文献
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中度混合动力汽车燃油经济性预测控制研究 总被引:4,自引:2,他引:2
利用车载全球定位系统(Global Position System,GPS)和地理信息系统(Geographic Information System,GIS)所提供的混合动力汽车未来一段预测路线上的道路交通信息、以及汽车当前运行状态模型,建立混合动力汽车在未来一段预测路线上的运行状态模型;以蓄电池荷电状态为系统状态变量,电动机/发电机转矩为决策变量,混合动力汽车等效燃油消耗量最低为优化控制目标函数,运用动态规划逆序算法,建立了中度混合动力汽车预测控制数学模型;研究了混合动力汽车转矩分配的最优控制方法,并就如何减少动态规划法的计算量进行了研究。文中给出了某混合动力汽车的最优控制计算实例结果。 相似文献
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为了提高插电式混合动力汽车的燃油经济性、降低污染物的排放,并解决插电式混合动力汽车单一动力电池低比功率、无法响应暂态功率需求的问题,设计蓄电池和超级电容并联的复合储能系统,采用带有滑动窗口的实时小波功率分配策略,并对滑动窗口长度进行选择。该功率分配策略将复合储能系统的需求功率分解成高频和低频两部分,超级电容接收高频分量,蓄电池接收低频分量,避免了高频分量对于蓄电池的冲击,提高了蓄电池的耐久性和可靠性。制定基于规则的控制策略,以整车燃油消耗量和污染物排放量为优化目标,利用多目标蜻蜓算法对相关控制参数进行优化。基于ADVISOR搭建含有复合储能系统的插电式混合动力汽车整车仿真模型,采用新欧洲行驶循环工况进行测试,并通过与带精英策略的非支配排序遗传算法进行对比,验证算法的有效性。研究结果表明:利用多目标蜻蜓算法优化后的车辆百公里燃油消耗平均降低了12.71%,污染物综合排放性能平均下降了10.05%;相对于优化前,发动机输出功率减少,电机输出功率增加,发动机和电机的工作效率均得到了显著提升;Pareto最优解的收敛性和覆盖范围优于带精英策略的非支配排序遗传算法,同时得到的多组Pareto最优解为整车设计和优化提供了更多选择。 相似文献