Numerical Simulation for Vehicle Powertrain Development

Millo, Federico; Rolando, Luciano; Andreata, Maurizio

doi:10.5772/24111

Cited by 41 publications

(20 citation statements)

References 10 publications

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“…It relies on a kinematic approach [18], based on a backward methodology where the input variables are the speed of the vehicle and the grade angle of the road. From these variables, the powertrain output speed and the traction force that should be provided to the wheels can be easily determined [19].…”

Section: Methodsmentioning

confidence: 99%

Real World Operation of a Complex Plug-in Hybrid Electric Vehicle: Analysis of Its CO2 Emissions and Operating Costs

2014

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Plug-in hybrid electric vehicles (pHEVs) could represent the stepping stone to move towards a more sustainable mobility and combine the benefits of electric powertrains with the high range capability of conventional vehicles. Nevertheless, despite the huge potential in terms of CO 2 emissions reduction, the performance of such vehicles has to be deeply investigated in real world driving conditions considering also the CO 2 production related to battery recharge which, on the contrary, is currently only partially considered by the European regulation to foster the diffusion of pHEVs. Therefore, this paper aims to assess, through numerical simulation, the real performance of a test case pHEV, the energy management system (EMS) of which is targeted to the minimization of its overall CO 2 emissions. The paper highlights, at the same time, the relevance of the CO 2 production related to the battery recharge from the power grid. Different technologies mixes used to produce the electricity required for the battery recharge are also taken into account in order to assess the influence of this parameter on the vehicle CO 2 emissions. Finally, since the operating cost still represents the main driver in orienting the customer's choice, an alternative approach for the EMS, targeted to the minimization of this variable, is also analyzed.

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Section: Methodsmentioning

confidence: 99%

Real World Operation of a Complex Plug-in Hybrid Electric Vehicle: Analysis of Its CO2 Emissions and Operating Costs

2014

Self Cite

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“…The calculated engine torque and speed is then used alongside with a statistical fuel consumption model to produce an instantaneous fuel consumption or emissions rate prediction [30]. The kinematic approach assumes that the vehicle meets the target performance, so that the vehicle speed is supposedly known a priori; thus enjoying the advantage of simplicity and low computational cost [31]. The backward or kinematic modelling method ensures that the driving speed profile will be exactly followed.…”

Section: Kinematic Approachmentioning

confidence: 99%

“…The quasi-static approach of HEV modelling as shown in Figure 7 makes use of a driver model typically a PID which compares that target vehicle speed (driving cycle speed), with the actual speed profile of the vehicle and then generates a power demand profile which is needed to follow the target vehicle speed profile. This power demand profile is generated by solving the differential motion equation of the vehicle [31]. Once the propulsion torque and speed of the engine have been determined, instantaneous fuel consumption can be estimated using a statistical engine model as already explained in the kinematic or backward approach.…”

Section: Quasi Static Approachmentioning

confidence: 99%

Modelling and control of hybrid electric vehicles (A comprehensive review)

Enang

Bannister

2017

Renewable and Sustainable Energy Reviews

281

152

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The gradual decline in global oil reserves and presence of ever so stringent emissions rules around the world, have created an urgent need for the production of automobiles with improved fuel economy. HEVs (hybrid electric vehicles) have proved a viable option to guarantying improved fuel economy and reduced emissions.The fuel consumption benefits which can be realised when utilising HEV architecture are dependent on how much braking energy is regenerated, and how well the regenerated energy is utilized. The challenge in developing an HEV control strategy lies in the satisfaction of often conflicting control constraints involving fuel consumption, emissions and driveability without over-depleting the battery state of charge at the end of the defined driving cycle. To this effect, a number of power management strategies have been proposed in literature. This paper presents a comprehensive review of theseliteratures, focusing primarily on contributions in the aspect of parallel hybrid electric vehicle modelling and control. As part of this treatise, exploitable research gaps are also identified. This paper prides itself as a comprehensive reference for researchers in the field of hybrid electric vehicle development, control and optimization.

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“…Fig. 2 shows the corresponding functional block diagrams, in which the electrical and mechanical links are bidirectional while the hydraulic link is unidirectional [10,11,12] .…”

Section: Hybrid Electric Vehicle Modelsmentioning

confidence: 99%

Use of Gt-Suite to Study Performance Differences Between Internal Combustion Engine (Ice) and Hybrid Electric Vehicle (Hev) Powertrains

Asfoor

Sharaf

Beyerlein

2014

The International Conference on Applied Mechanics and Mechanica

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Hybrid Electric Vehicles (HEVs) are receiving a great deal of interest around the world due to not only their promise of higher energy efficiency and reduced highway emissions, but also their ability to overcome the range limitations inherent in a purely electric automobile. In a hybrid powertrain, energy is stored as a petroleum fuel and in an electrical storage device, such as a battery pack, and is converted to mechanical energy by an internal combustion engine (ICE) and an electric motor (EM), respectively. The EM is used to improve energy efficiency and vehicle emissions while the ICE provides extended range capability.Computer simulation is a valuable tool for analyzing hardware components and predicting vehicle performance with different powertrain configurations. In this work a traditional ICE operated vehicle is compared to several hybrid versions of the same vehicle, all modeled using GT-Suite. A variety of standard driving cycles are considered, among them the Federal Test Procedure (FTP) for city driving, the Highway Fuel Economy Test (HWY), the high acceleration aggressive driving schedule (US06) that is often identified by the Supplemental FTP, and the New European Driving Cycle (NEDC). This study considers a rule-based energy management strategy for power splitting in the hybrid powertrain models. ICE only and hybrid modes are compared based on average as well as instantaneous performance. The overall fuel economy, energy consumption and losses in the ICE and HEV powertrain models are monitored and compared based on average performance, and a comprehensive energy analysis is performed to track energy sources and sinks. The paper results reveal the benefits of HEVs in terms of reduced fuel energy consumption and improved fuel economy.

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Numerical Simulation for Vehicle Powertrain Development

Cited by 41 publications

References 10 publications

Real World Operation of a Complex Plug-in Hybrid Electric Vehicle: Analysis of Its CO2 Emissions and Operating Costs

Real World Operation of a Complex Plug-in Hybrid Electric Vehicle: Analysis of Its CO2 Emissions and Operating Costs

Modelling and control of hybrid electric vehicles (A comprehensive review)

Use of Gt-Suite to Study Performance Differences Between Internal Combustion Engine (Ice) and Hybrid Electric Vehicle (Hev) Powertrains

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