Fuel economy comparison of conventional drive trains series and parallel hybrid electric step vans

Han, Sung Bin; Chang, Yun Hee; Chung, Yon Jong; Lee, E. Y.; Suh, B.; Frank, Andrew A.

doi:10.1007/s12239-009-0028-y

Cited by 12 publications

(4 citation statements)

References 4 publications

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“…The performance of the vehicle largely depends on working characteristics of the vehicle engine and wheel axle, and the engine is often an established on-demand product. Therefore, it is particularly important to carry out simulated loading tests on the vehicle drive axle under various complex working conditions (Han et al, 2009). The working environment of engineering vehicles is mostly poor, as a key component of the vehicle, the working performance of the drive axle determines the reliability and stability of the vehicle (Zhai et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Research on disturbance rejection control strategy of vehicle drive axle loading test bench

Huang¹,

Wang²,

Li³

et al. 2022

Journal of Theoretical and Applied Mechanics

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Aiming at the problems of parameter disturbance and coupling disturbance in a vehicle drive axle loading test-bed, this paper used the adaptive backstepping sliding mode control (ABSMC) strategy to design the controller for the speed and torque system. The effectiveness of the controller has been verified by simulation and an experiment. The results show that the equivalent moment of inertia is increased by 5 times, and the step response overshoot of the speed system is 4.1%. By adding a random disturbance, the sinusoidal tracking errors of the speed and torque systems are 0.05 r/min and 0.09 Nm, respectively.

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Section: Introductionmentioning

confidence: 99%

Research on disturbance rejection control strategy of vehicle drive axle loading test bench

Huang¹,

Wang²,

Li³

et al. 2022

Journal of Theoretical and Applied Mechanics

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“…As per the statistical database of US Energy Information Administration, the CO 2 emissions by the end-user sector are shown in Figure 1. 6 In spite of various advancements in the technology for automotive applications, there is still a large necessity for optimizations on consumption and related CO 2 emissions in the hybrid vehicles. Figure 1 is modified from the literature.…”

Section: Introductionmentioning

confidence: 99%

“…To help the engineers and researchers in automotive industry, software tools were developed by National Renewable Energy Laboratory with the support of US Department of Energy so as to develop new HEVs. 6 In spite of various advancements in the technology for automotive applications, there is still a large necessity for optimizations on consumption and related CO 2 emissions in the hybrid vehicles. Fossil fuels are available in limited amounts, and it is increasingly difficult to make new resources accessible.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive review on choice of hybrid vehicles and power converters, control strategies for hybrid electric vehicles

Krithika

Subramani

2017

Int J Energy Res

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Summary A worldwide shift headed for a greener and low emissions will necessitate remarkable advancement in the way in which the energy is being produced and used. The factors such as climate changes induced by pollution, progressively more strict emissions norms for vehicles, depletion of petrol/diesel along with instability in their prices for transportation systems, play a vital role in the improvisation of technology involved in conventional vehicles. The hybrid electric vehicles (HEVs) are on the peak of the list of choices available for clean vehicle technologies. The various architectures of HEV, different methodologies of hybrid vehicle, are focused in this paper. The design criteria and optimization techniques with reference to the driving cycle is also elucidated. The various electric drives used for HEV are discussed in this paper. Also, the different electric propulsion systems are explained. To improve the fuel economy and emission of hybrid power system, control strategies are very significant. Researchers concentrate in optimizing the performance of HEV.

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“…Multiple power sources with greater flexibility for vehicle power distribution can make fuel consumption and exhaust emissions reduced without decreasing vehicle performance [1]. Dynamic parameters of hybrid power system such as power of engine and motor, torque, rotational speed and gear ratio all have an effect on dynamic performance, emission property and fuel economy [2]. As the matching relationship between parameters of any part of hybrid power system has direct effect on the performance of HEV, so optimization design of parameters plays an important role in the process of simulation and development [3] .…”

Section: Introductionmentioning

confidence: 99%

Parameters optimization and performance simulation for parallel hybrid electric vehicle

Zhou

Zhang

Gao

2011

Proceedings of 2011 6th International Forum on Strategic Technology

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Aiming at the hybrid electric vehicle (HEV) low emission and fuel-efficient advantages, the original model vehicle is refit into parallel hybrid electric vehicle (PHEV), and its power system parameters are designed. The dynamic performance, fuel economy and battery state of charge (SOC) on the NEDC typical driving cycle are simulated by hybrid electric vehicle simulation software ADVISOR. The comparisons between the simulation results of two models show that the modified HEV is better than the original model on fuel economy, the dynamic performance is basically unchanged, and the charge-discharge characteristics of battery achieve a balance on driving cycle, so the design of power system parameters is reasonable.

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Fuel economy comparison of conventional drive trains series and parallel hybrid electric step vans

Cited by 12 publications

References 4 publications

Research on disturbance rejection control strategy of vehicle drive axle loading test bench

Research on disturbance rejection control strategy of vehicle drive axle loading test bench

A comprehensive review on choice of hybrid vehicles and power converters, control strategies for hybrid electric vehicles

Parameters optimization and performance simulation for parallel hybrid electric vehicle

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