A Simulation Study Quantifying the Effects of Drive Cycle Characteristics on the Performance of a Pneumatic Hybrid Bus

Author(s):  
Sasa Trajkovic ◽  
Per Tunesta˚l ◽  
Bengt Johansson

In the study presented in this paper, the effect of different vehicle driving cycles on the pneumatic hybrid has been investigated. The pneumatic hybrid powertrain has been modeled in GT-Power and validated against experimental data. The GT-Power engine model has been linked with a MATLAB/simulink vehicle model. The engine in question is a single-cylinder Scania D12 diesel engine, which has been converted to work as a pneumatic hybrid. The base engine model, provided by Scania, is made in GT-power and it is based on the same engine configuration as the one used in real engine testing. Earlier studies have shown a great reduction in fuel consumption with the pneumatic hybrid compared to conventional vehicles of today. However, most of these studies have been completely of theoretical nature. In this paper, the engine model is based on and verified against experimental data, and therefore more realistic results can be expected. The intent with the vehicle driving cycle simulation is to investigate the potential of a pneumatic hybrid bus regarding reduction in fuel consumption (FC) compared to a traditional internal combustion engine (ICE) powered bus. The results show that the improvement in fuel economy due to pneumatic hybridization varies heavily with choice of drive cycle. The New York bus drive cycle shows a reduction of up to 58% for the pneumatic hybrid while the FIGE drive cycle only shows a reduction of 8%. What all cycles have in common is that the main part of the fuel consumption reduction comes from the start/stop-functionality, while regenerative braking only account for a modest part of up to about 12% of the fuel consumption. The results also show that the optimal pressure tank volume varies with drive cycles, ranging from 60 to over 500 liters.

2020 ◽  
Vol 19 (1) ◽  
pp. 20-33
Author(s):  
W. U. Maddumage ◽  
K. Y. Abeyasighe ◽  
M. S. M. Perera ◽  
R. A. Attalage ◽  
P. Kelly

Hybrid electric powertrains in automotive applications aim to improve emissions and fuel economy with respect to conventional internal combustion engine vehicles. Variety of design scenarios need to be addressed in designing a hybrid electric vehicle to achieve desired design objectives such as fuel consumption and exhaust gas emissions. The work in this paper presents an analysis of the design objectives for an automobile powertrain with respect to different design scenarios, i. e. target drive cycle and degree of hybridization. Toward these ends, four powertrain configuration models (i. e. internal combustion engine, series, parallel and complex hybrid powertrain configurations) of a small vehicle (motorized three wheeler) are developed using Model Advisor software and simulated with varied drive cycles and degrees of hybridization. Firstly, the impact of vehicle power control strategy and operational characteristics of the different powertrain configurations are investigated with respect to exhaust gas emissions and fuel consumption. Secondly, the drive cycles are scaled according to kinetic intensity and the relationship between fuel consumption and drive cycles is assessed. Thirdly, three fuel consumption models are developed so that fuel consumption values for a real-world drive cycle may be predicted in regard to each powertrain configuration. The results show that when compared with a conventional powertrain fuel consumption is lower in hybrid vehicles. This work led to the surprisingly result showing higher CO emission levels with hybrid vehicles. Furthermore, fuel consumption of all four powertrains showed a strong correlation with kinetic intensity values of selected drive cycles. It was found that with varied drive cycles the average fuel advantage for each was: series 23 %, parallel 21 %, and complex hybrids 33 %, compared to an IC engine powertrain. The study reveals that performance of hybrid configurations vary significantly with drive cycle and degree of hybridization. The paper also suggests future areas of study.


Author(s):  
Hanna Sara ◽  
David Chalet ◽  
Mickaël Cormerais ◽  
Jean-François Hetet

Since the main interest worldwide of green environment companies is to reduce pollutant emissions, the automotive industry is aiming to improve engine efficiency in order to reduce fuel consumption. Recently, studies have been shifted from upgrading the engine to the auxiliary systems attached to it. Thermal management is one of the successful fields that has shown promise in minimizing fuel consumption and reducing pollutant emissions. Throughout this work, a four-cylinder turbocharged diesel engine model was developed on GT-Power. Also, a thermal code has been developed in parallel on GT-Suite, in which the different parts of the coolant and lubricant circuits were modeled and calibrated to have the best agreement with the temperature profile of the two fluids in the system. Once the model was verified, hot coolant storage, a thermal management strategy, was applied to the system to assess the fuel consumption gain. The storage tank was located downstream the thermostat and upstream the radiator with three valves to control the coolant flow. The place was chosen to avoid negative impact on the cold start-up of the engine when the tank is at the ambient temperature. This strategy was applied on different driving cycles such as the NEDC, WLTC, CADC (urban and highway), and an in-house developed driving cycle. The ambient temperature was varied between −7°C to represent the coldest winter and 20°C. The results of this study summarize the ability of the hot coolant storage strategy in reducing the fuel consumption, and show the best driving cycle that needs to be applied on along with the influence of the different ambient temperatures.


2019 ◽  
Vol 11 (11) ◽  
pp. 168781401988625 ◽  
Author(s):  
Lijun Hao ◽  
Chunjie Wang ◽  
Hang Yin ◽  
Chunxiao Hao ◽  
Haohao Wang ◽  
...  

In order to estimate the light-duty vehicle fuel economy at high-altitude areas, the coast-down tests of a passenger car on level road were conducted at different elevations, and the coast-down resistance coefficients were calculated. Furthermore, a fuel economy model for a light-duty vehicle adopting backward simulation method was developed, and it mainly consists of vehicle dynamic model, internal combustion engine model, transmission model, and differential model. The internal combustion engine model consists of the brake-specific fuel consumption maps as functions of engine torque and engine speed, and the brake-specific fuel consumption map near sea level was constructed based on engine experimental data, and the brake-specific fuel consumption maps at high altitudes were calculated by GT-Power Modeling of the internal combustion engine. The fuel consumption rate was calculated from the brake-specific fuel consumption maps and brake power and used to calculate the fuel economy of the light-duty vehicle. The model predicted fuel consumption data met well with the test results, and the model prediction errors are within 5%.


2014 ◽  
Vol 663 ◽  
pp. 510-516 ◽  
Author(s):  
Agus Mujianto ◽  
Muhammad Nizam ◽  
Inayati

Urban area is the center of activities. Many people use the vehicle to cover the distance toward their activities places. In order to support the activities a large number of vehicles are moving in urban areas. Consequently, the consumption of fuel will increase from time to time and oil price has increased due to higher of demands. Thus, a plugin hybrid electric vehicle (PHEV) is proven as one of the best practical applications for transportation in order to reduce fuel consumption. One of the types of PHEV is a series PHEV (SPHEV). SPHEV is the simplest type of PHEV but still having higher efficiency of fuel than an internal combustion engine vehicle. This study was focused to discuss on the ability of SPHEV for covering distance and velocity of the urban drive cycle. Three driving cycles namely new European drive cycle (NEDC), extra urban driving cycle (EUDC), and EPA highway fuel economy cycle (HWFET) were used for the simulation using ADVISOR software to study performance of SPHEV. To achieve the best performance of SPHEV, the control strategy based on an artificial intelligence was purposed. The simulation was done by using SPHEV which consisted of15 kW battery, 41 kW engine, and 41 kW DC motor. The performance of SPHEV (fuel consumption and emission) was then compared to a gasoline engine vehicle (GEV). The results showed that SPHEV consumed less fuel and generated less emission during performing all drive cycles.


2017 ◽  
Vol 19 (8) ◽  
pp. 854-872
Author(s):  
José Galindo ◽  
Hector Climent ◽  
Olivier Varnier ◽  
Chaitanya Patil

Internal combustion engine developments are more focused on efficiency optimization and emission reduction for the upcoming future. To achieve these goals, technologies like downsizing and downspeeding are needed to be developed according to the requirement. These modifications on thermal engines are able to reduce fuel consumption and [Formula: see text] emission. However, implementation of these kind of technologies asks for right and efficient charging systems. This article consists of study of different boosting systems and architectures (single- and two-stage) with combination of different charging systems like superchargers and e-boosters. A parametric study is carried out with a zero-dimensional engine model to analyze and compare the effects of these different architectures on the same base engine. The impact of thermomechanical limits, turbo sizes and other engine development option characterizations are proposed to improve fuel consumption, maximum power and performance of the downsized/downspeeded diesel engines.


Author(s):  
Ali Safaei ◽  
Vahid Esfahanian ◽  
Mohammad Reza Ha’iri-Yazdi ◽  
Mohsen Esfahanian ◽  
Masood Masih Tehrani ◽  
...  

Using hybrid powertrains is an attractive idea to reduce the fuel consumption in vehicles. Control strategy is the most challenging subject in designing of a hybrid powertrain. In this paper, an optimized control strategy based on the driving cycle type designed for a hydraulic hybrid bus has been presented. Because of considering the type of the driving cycle, the proposed control strategy can be named as an intelligent one. In this controller, at first, four standard driving cycles have been defined as the reference clusters. Then the optimized control strategy for each cluster has been derived using a dynamic programming algorithm. In addition, several multi-layered perceptron networks are modeled in order to use the output of each optimized control strategy. After that a clustering method with a feature selection algorithm has been implemented to assign degree of similarity to each cluster for the unknown driving cycle. Finally, a linear combination of four optimized control strategy outputs has been used for generating final output of the intelligent control strategy. In this combination, each output is weighted by the corresponding degree of similarity. Here, the hydraulic hybrid bus model is a feed forward one and has been simulated using a compound driving cycle. The compound driving cycle consists of six distinct 100s long portions of the Nuremburg driving cycle. The simulation results show that by using the intelligent control strategy, the fuel consumption of the hybrid bus has been reduced by almost 12% in comparison with the results of a rule-based control strategy.


2021 ◽  
Vol 10 (47) ◽  
pp. 107-115
Author(s):  
Nikolay Vadimovich Petrov ◽  
Maria Mikhailovna Evseeva ◽  
Nadezhda Sergeevna Khiterkheeva ◽  
Daba Nimaevich Radnaev ◽  
Nikolay Ilyich Moshkin

The article analyzes suburban bus transportation with specific routes in the Republic of Sakha (Yakutia). For the experimental study, the route No. 101, «Yakutsk – Tabaga» with a total length of 31 km was chosen. The schedule of buses of Municipal Unitary Enterprise «Yakut Passenger Transport Company (YAPAK)» on the suburban route is shown. The basic technical data of the bus PAZ-320412 was studied. In accordance with international regulations for the buses, the determination of fuel consumption and specific emissions of normalized toxic components is carried out using a riding cycle on running drums. For the calculation of fuel consumption, the technique of modeling of indicators of work of the engine which provide change of traction and speed characteristics of the car according to the set driving cycle was used. Finally, the results of the calculated fuel consumption for the NEDC driving cycle are compared with experimental data. As a comparison of the calculated and theoretical fuel consumption data with practical data, the Cummins engine type Cummins ISF 3.8 is considered. This internal combustion engine is installed on a PAZ-320412 bus. Experimental data on the fuel consumption of this bus per 100 km. showed 48 nm3, and theoretical calculations of bus fuel consumption per 100 km. by the proposed method showed 42 nm3. Therefore, to assess the traction and speed properties of the bus, the proposed combined method can be used which allows one to obtain calculation of fuel consumption which is closer to the experimental data on a driving cycle. Using the source data of the vehicle, effective engine performance indicators are evaluated. A calculation method is proposed for modeling a test, and experimental driving cycle of automobile transport with a total mass of more than five tons is suggested.


Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 652
Author(s):  
Mohsen Mirzaeian ◽  
Simon Langridge

In the current study, a 0D/1D engine model built in the commercial code GT-Suite was coupled with the Electronic Control Unit (ECU) model created in the Simulink environment, aiming to more accurately predict the interaction of the engine and aftertreatment system (ATS) operating parameters, both during steady-state and transient maneuvers. After a detailed validation based on extensive experimental data from a heavy-duty commercial diesel Internal Combustion Engine (ICE), the engine model was fine-tuned and the 0D predictive diesel combustion model, DIPulse, was calibrated to best predict the combustion process, including engine-out NOx emissions. For correct prediction of the engine’s behavior in transient operations, the complete control strategy of the air path, including boost, exhaust gas recirculation (EGR), main and pilot Start of Injection (SOI), injection pressure, and exhaust flap, was implemented in the Simulink environment. To demonstrate the predictive capability of the model, a hot World Harmonized Transient Cycle (WHTC) was simulated, obtaining good agreement with the experimental data both in terms of emissions and performance parameters, confirming the reliability of the proposed approach. Finally, a case study on possible fuel consumption improvement through thermal insulation of the exhaust manifold, exhaust ports, and turbocharger was carried out.


Author(s):  
Ian Briggs ◽  
Geoffrey McCullough ◽  
Stephen Spence ◽  
Roy Douglas ◽  
Richard O’Shaughnessy ◽  
...  

The fuel consumption of automotive vehicles has become a prime consideration to manufacturers and operators as fuel prices continue to rise steadily, and legislation governing toxic emissions becomes ever more strict. This is particularly true for bus operators as government fuel subsidies are cut or removed. In an effort to reduce the fuel consumption of a diesel-electric hybrid bus, an exhaust recovery turbogenerator has been selected from a wide ranging literature review as the most appropriate method of recovering some of the wasted heat in the exhaust line. This paper examines the effect on fuel consumption of a turbogenerator applied to a 2.4-litre diesel engine. A validated one-dimensional engine model created using Ricardo WAVE was used as a baseline, and was modified in subsequent models to include a turbogenerator downstream, and in series with, the turbocharger turbine. A fuel consumption map of the modified engine was produced, and an in-house simulation tool was then used to examine the fuel economy benefit delivered by the turbogenerator on a bus operating on various drive-cycles. A parametric study is presented which examined the performance of turbogenerators of various size and power output. The operating strategy of the turbogenerator was also discussed with a view to maximising turbine efficiency at each operating point. The performance of the existing turbocharger on the hybrid bus was also investigated; both the compressor and turbine were optimised and the subsequent benefits to the fuel consumption of the vehicle were shown. The final configuration is then presented and the overall improvement in fuel economy of the hybrid bus was determined over various drive-cycles.


2017 ◽  
Vol 19 (8) ◽  
pp. 873-885 ◽  
Author(s):  
José Galindo ◽  
Hector Climent ◽  
Olivier Varnier ◽  
Chaitanya Patil

Nowadays, internal combustion engine developments are focused on efficiency optimization and emission reduction. Increasing focus on world harmonized ways to determine the performance and emissions on Worldwide harmonized Light vehicles Test Procedure cycles, it is essential to optimize the engines for transient operations. To achieve these objectives, the downsized or downspeeded engines are required, which can reduce fuel consumption and pollutant emissions. However, these technologies ask for efficient charging systems. This article consists of the study of different boosting architectures (single stage and two stage) with a combination of different charging systems like superchargers and e-boosters. A parametric study has been carried out with a zero-dimensional engine model to analyze and compare different architectures on the different engine displacements. The impact of thermomechanical limits, turbo sizes and other engine development option characterizations is proposed to improve fuel consumption, maximum power and performance of the downsized/downspeeded diesel engines during the transient operations.


Sign in / Sign up

Export Citation Format

Share Document