scholarly journals Numerical analyses of a hydraulic hybrid powertrain system for a transit bus

2020 ◽  
Vol 24 (1 Part A) ◽  
pp. 159-170
Author(s):  
Marko Kitanovic ◽  
Slobodan Popovic ◽  
Nenad Miljic ◽  
Predrag Mrdja
Keyword(s):  
Dynamic Programming ◽  
Fuel Economy ◽  
Model Parameters ◽  
Hybrid Powertrain ◽  
Hydraulic Hybrid ◽  
Powertrain System ◽  
Improvement Potential ◽  
Fuel Economy Improvement ◽  
Hydraulic Accumulator ◽  
Transit Bus

A dynamic programming optimization algorithm has been applied on a transit bus model in MATLAB in order to assess the fuel economy improvement potential by implementing a hydraulic hybrid powertrain system. The numerical model parameters have been calibrated using experimental data obtained on a Belgrade?s public transport bus. This experiment also provided the representative driving cycle on which to conduct simulation analyses. Various functional parameters of a hydraulic hybrid system have been evaluated for obtaining the best possible fuel economy. Dynamic programming optimization runs have been completed for various hydraulic accumulator sizes, preload values and accumulator foam quantities. It has been shown that a fuel economy improvement of 28% can be achieved by implementing such a system.

Fuel Economy Improvement Potential of a PFI Gasoline Engine Using VVT/VCR

2004 ◽  
Author(s):  
Frank M. Washko ◽  
Ming-Chia Lai
Keyword(s):  
Fuel Economy ◽  
Gasoline Engine ◽  
Fuel Efficiency ◽  
Operating Efficiency ◽  
Powertrain System ◽  
Improvement Potential ◽  
Fuel Economy Improvement ◽  
The Many ◽  
System Variables ◽  
Variable Valve

It is desired to optimize a spark ignition PFI (port fuel injected) engine for various regimes within the operating ranges of a vehicle. The goal of this work is to identify the set of technologies that complement each other and offer the optimum performance and fuel economy. For an ideal powertrain system, the engine should be optimized for best fuel economy during the typical drive cycles and best performance during high load acceleration. A typical PFI 1.8L four-cylinder engine is baselined at cycle representative speed/load points. The engine is supercharged and intercooled to later quantify the efficiency benefits from replacing a larger engine with a smaller boosted engine that offers similar performance. Then the effects of different operating regimes and the effect of different proposed technologies are studied. The fuel economy enablers considered include variable valve timing (VVT) and variable compression ratios (VCR). The effects of VVT was studied to see which valve event scenarios afford the best operating efficiency and fuel economy during part load operation. VVT can also be a source of performance improvement if implemented appropriately. VCR operation is studied to see if the efficiency gains from VCR are additive with VVT or if they overlap to some degree. Typically, the fuel efficiency potential of a production engine is limited by spark knock. The engine studied here uses the geometrical and virtual compression ratio reductions offered by the VVT and VCR systems to give knock limit relief and allows the knock-limited BMEP curve to be pushed up. The results showed that the fuel economy gain with the above mentioned technologies is somewhat additive throughout the typical driving cycle but is highly dependent on proper optimization of the many system variables.

scholarly journals Modelling and experimental validation of the performance of a digital displacement® hydraulic hybrid truck

2021 ◽  
pp. 095440702110261
Author(s):  
William JB Midgley ◽  
Daniel Abrahams ◽  
Colin P Garner ◽  
Niall Caldwell
Keyword(s):  
Mathematical Model ◽  
Hybrid System ◽  
Fuel Economy ◽  
Experimental Validation ◽  
Vehicle Model ◽  
Drive Cycle ◽  
Hydraulic Hybrid ◽  
Fuel Economy Improvement ◽  
Foam Filled ◽  
Hydraulic Accumulator

The development, modelling and testing of a novel, fuel-efficient hydraulic hybrid light truck is reported. The vehicle used a Digital Displacement® pump/motor and a foam-filled hydraulic accumulator in parallel with the existing drivetrain to recover energy from vehicle braking and use this during acceleration. The pump/motor was also used to reduce gear-shift times. The paper describes the development of a mathematical vehicle model and the validation of this model against an extensive testing regime. In testing, the system improved the fuel economy of the vehicle by 23.5% over the JE05 midtown drive cycle. The validated mathematical model was then optimised and used to determine the maximum fuel economy improvement over the diesel baseline vehicle for two representative cycles (JE05 midtown and WLTP). It was found that the hybrid system can improve the fuel economy by 24%–43%, depending on the drive cycle. When this was combined with engine stop-start, the system improved the fuel economy of the vehicle by 29%–95%, depending on the drive cycle.

Fuel economy and NOx emission potential investigation and trade-off of a hybrid electric vehicle based on dynamic programming

2008 ◽  
Vol 222 (10) ◽  
pp. 1851-1864 ◽  
Author(s):  
G-Q Ao ◽  
J-X Qiang ◽  
H Zhong ◽  
X-J Mao ◽  
L Yang ◽  
...  
Keyword(s):  
Dynamic Programming ◽  
Cost Function ◽  
Fuel Economy ◽  
Hybrid Electric Vehicle ◽  
Pollutant Emissions ◽  
Power Requirement ◽  
Trade Off ◽  
Fuel Economy Improvement ◽  
Hybrid Electric ◽  
Potential Improvement

Hybrid electric vehicles (HEVs) combined with more than one power source offer additional flexibility to improve the fuel economy and to reduce pollutant emissions. The dynamic-programming-based supervisory controller (DPSC) presented here investigates the fuel economy improvement and emissions reduction potential and demonstrates the trade-off between fuel economy and the emission of nitrogen oxides (NO x) for a state-of-charge-sustaining parallel HEV. A weighted cost function consisting of fuel economy and emissions is proposed in this paper. Any possible engine-motor power pairs meeting with the power requirement is considered to minimize the weighted cost function over the given driving cycles through this dynamic program algorithm. The fuel-economy-only case, the NO x-only case, and the fuel-NO x case have been achieved by adjusting specific weighting factors, which demonstrates the flexibility and advantages of the DPSC. Compared with operating the engine in the NO x-only case, there is 17.4 per cent potential improvement in the fuel-economy-only case. The fuel-NO x case yields a 15.2 per cent reduction in NO x emission only at the cost of 5.5 per cent increase in fuel consumption compared with the fuel-economy-only case.

Power Optimization of Series Hydraulic Hybrid Powertrain for Compact Wheel Loader

2019 ◽  
Author(s):  
Qunya Wen ◽  
Feng Wang ◽  
Bing Xu ◽  
Zongxuan Sun
Keyword(s):  
Energy Management ◽  
Fuel Economy ◽  
Management Strategy ◽  
Power Optimization ◽  
Parameter Study ◽  
Energy Management Strategy ◽  
Hybrid Powertrain ◽  
Wheel Loader ◽  
Hydraulic Hybrid ◽  
Equivalent Consumption Minimization Strategy

Abstract As an effective approach to improving the fuel economy of heavy duty vehicles, hydraulic hybrid has shown great potentials in off-road applications. Although the fuel economy improvement is achieved through different hybrid architectures (parallel, series and power split), the energy management strategy is still the key to hydraulic hybrid powertrain. Different optimization methods provide powerful tools for energy management strategy of hybrid powertrain. In this paper a power optimization method based on equivalent consumption minimization strategy has been proposed for a series hydraulic hybrid wheel loader. To show the fuel saving potential of the proposed strategy, the fuel consumption of the hydraulic hybrid wheel loader with equivalent consumption minimization strategy was investigated and compared with the system with a rule-based strategy. The parameter study of the equivalent consumption minimization strategy has also been conducted.

Influence of Hydraulic Accumulator Performance on the Hydraulic Hybrid Powertrain

2019 ◽  
Author(s):  
Qi Zhang ◽  
Feng Wang ◽  
Bing Xu ◽  
Kim A. Stelson
Keyword(s):  
Thermal Hysteresis ◽  
Hybrid Powertrain ◽  
Actual Performance ◽  
Wheel Loader ◽  
Accumulator Model ◽  
Hydraulic Hybrid ◽  
Dynamic Simulation Model ◽  
The Difference ◽  
Hydraulic Accumulator ◽  
Accumulator Models

Abstract Owing to its high power density, hydraulic hybrid is considered as an effective approach to reducing the fuel consumption of heavy duty vehicles. A gas-charged hydraulic accumulator serves as the power buffer, storing and releasing hydraulic power through gas. An accurate hydraulic accumulator model is crucial to predict its actual performance. There are two widely used accumulator models: isothermal and adiabatic models. Neither of these models are practical to reflect its real performance in the hydraulic hybrid system. Therefore, the influence of an accumulator model considering thermal hysteresis on a hydraulic hybrid wheel loader has been studied in this paper. The difference of three accumulator models (isothermal, adiabatic and energy balance) has been identified. A dynamic simulation model of the hydraulic hybrid wheel loader has been developed. The fuel consumptions of the hydraulic hybrid wheel loader with three accumulator models has been compared. The influence of heat transfer coefficient of the accumulator housing has also been studied.

Matching and Optimization for Powertrain System of Parallel Hybrid Electric Vehicle

2013 ◽  
Vol 341-342 ◽  
pp. 423-431
Author(s):  
Jian Ping Gao ◽  
Yue Hui Wei ◽  
Zhen Nan Liu ◽  
Hong Bing Qiao
Keyword(s):  
Electric Vehicle ◽  
Fuel Economy ◽  
Hybrid Electric Vehicle ◽  
Dynamic Performance ◽  
Hybrid Powertrain ◽  
Parallel Hybrid Electric Vehicle ◽  
Powertrain System ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Avl Cruise

The parameters matching of the hybrid powertrain system of the hybrid electric vehicle has a directly impact on the performance of the vehicle dynamic and the fuel economy. The preliminary match of the powertrain system base on analysis of Driving Cycle is done, then the software of AVL-Cruise and Matlab are integrated with Isight to optimize parameters of match, by using the Multi-Island GA and NLPQL to establish the combinatorial optimization algorithm. The results show that the fuel economy have been improved by 10.92% without sacrificing the dynamic performance and under the premise of ensuring the limits of the state of charge of battery.

Fuel Economy Improvement Potential Study with Energy Management of Heavy Duty Truck HEV for Long Haul Application

2015 ◽  
Author(s):  
Nobuhiro Kondo ◽  
Hideyuki Takahashi ◽  
Junichi Yamada ◽  
Keiki Tanabe ◽  
Takuya Kitasei ◽  
...  
Keyword(s):  
Energy Management ◽  
Fuel Economy ◽  
Heavy Duty ◽  
Heavy Duty Truck ◽  
Potential Study ◽  
Improvement Potential ◽  
Fuel Economy Improvement
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