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This paper establishes the simulation model of a city bus on the basis of the EQ6110 bus prototype and its experimental data.
According to the actual urban driving cycle, the fuel economy and the traction performance of the EQ6110 city bus have been
simulated, and factors such as the driving cycle, the loss of power to engine accessories, the gear-shifting strategy, the
fuel shut-off strategy of the engine, etc., which influence on the bus’s fuel economy, are also quantitatively analyzed. Some
conclusions are drawn as follows: (1) driving cycles have a great influence on the fuel economy of a city bus; (2) under the
typical urban driving cycle of the public bus in China, the engine fuel shut-off strategy can save about 1 to 1.5 percent
of the fuel consumption; and (3) the optimized gear-shifting rules can save 6.7 percent of the fuel consumption. Experimental
results verify that the fuel economy for the EQ6110 public bus is improved by 7.2 pecent over the actual Wuhan urban driving
cycle of the current public bus in China. 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》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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EQ6110HEV并联混合动力系统参数匹配及性能研究 总被引:4,自引:0,他引:4
阐述了EQ6110HEV并联混合动力总成结构和采用的控制策略,提出了并联混合动力汽车动力传动系统参数匹配方法及过程,分析了电机峰值功率及基速点的选取对汽车动力性和经济性的影响。并将匹配方案仿真结果与试验结果进行比较,结果说明该匹配方法正确可行,可为动力总成优化提供理论依据。 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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This paper first describes the control strategy used in a hybrid electric public bus and then proposes a torque-balancing
control strategy. Simulations were performed using the designed control strategies, and the results were analyzed under different
conditions. The torque-balancing control strategy was improved on the basis of the efficiency-first ideas of the hybrid system.
Finally, experiments were performed to verify that the efficiency-first and torque-balancing control strategy (EFCS) is both
feasible and reliable. The simulation results showed that, compared with a conventional public bus, the hybrid electric bus
could save approximately 27.3 percent on fuel consumption using the EFCS control strategy in a public bus in China, while
under the Wuhan urban driving cycle. 相似文献
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介绍采用超级电容作为储能系统的并联式混合动力客车的动力系统结构和原理,并对该车做一般城市实际公交工况的油耗试验以及中国典型城市公交工况下的油耗试验。油耗试验结果经计算表明,该车具有较好的节油效果。 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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G. -Q. Liu Y. -C. Yan J. Chen F. -F. Xu 《International Journal of Automotive Technology》2010,11(4):573-580
A hydraulic power-assist system is a hydraulic regeneration system that can significantly improve fuel economy when installed
on a conventional bus operating in urban traffic. This paper presents a methodology for matching a new hydraulic power-assist
system (HPA) to a conventional bus. The HPA and the conventional bus were modeled using the AMESim environment. The HPA was
optimized using a simulation-based orthogonal design method with two indexes, the fuel economy and the acceleration performance.
According to the simulation results, the volume of the accumulator was the primary factor affecting fuel economy, and the
gear ratio of the transfer case was the primary factor influencing the acceleration performance. As a result, tradeoffs between
the two indexes are required for a practical operational scenario. Experimental results demonstrated that the optimal HPA
installed on a conventional bus was able to satisfy the acceleration performance requirement of the vehicle and also reduced
fuel consumption by 25 percent. 相似文献
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基于多种循环工况的混合动力客车制动能量回收对燃油经济贡献率的研究 总被引:1,自引:0,他引:1
建立再生制动能量回收的数学模型和试验评价方法,并针对某一并联混合动力城市客车,选择四种典型城市循环工况进行试验分析,得到不同行驶工况下混合动力客车的制动能量回收对整车燃油经济性的贡献率,对混合动力汽车的前期开发具有参考作用. 相似文献
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Power distribution between an internal combustion engine and electric motors is one of main features of hybrid electric vehicles that improves their fuel economy. An equivalent fuel consumption minimization strategy can instantaneously identify the optimal power distribution by converting the battery power into the equivalent fuel power and minimizing the overall fuel consumption. To guarantee the effectiveness of the strategy, it is essential to find the proper value of the conversion factor used to obtain the equivalent fuel power. However, finding the proper value is not a straightforward process because it is necessary to consider the overall power conversion efficiencies and battery charge sustaining strategy for the target driving cycle in advance. In this study, a model-based parameter optimization method is introduced to find the optimal conversion factor. A hybrid electric vehicle simulation model capable of estimating fuel consumption was developed, and the optimal conversion factor was discovered using a genetic algorithm that evaluates its population members using the simulation model. A series of simulations and vehicle tests was conducted to verify the effectiveness of the optimized strategy, and the results show a distinct improvement in fuel economy. 相似文献
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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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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
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By considering the effect of the driving cycle on the energy management strategy (EMS), a fuzzy EMS based on driving cycle recognition is proposed to improve the fuel economy of a parallel hybrid electric vehicle. The EMS is composed of driving cycle recognition and a fuzzy torque distribution controller. The current driving cycle is recognized by learning vector quantization in driving cycle recognition. The torque of the engine and the motor is controlled by a fuzzy torque distribution controller based on the required torque of the hybrid powertrain and the battery state of charge. The membership functions and rules of the fuzzy torque distribution controller are optimized simultaneously by using particle swarm optimization. Based on the identification results of driving cycle recognition, the fuzzy torque distribution controller selects the corresponding membership function and rule to control the hybrid powertrain. The simulation research based on ADVISOR demonstrates that this EMS improves fuel economy more effectively than fuzzy EMS without driving cycle recognition. 相似文献