Gear Shifting Strategies Co-simulations to Optimize Vehicle Performance and Fuel Consumption

Eckert, Jony Javorski; Corrêa, Fernanda Cristina; Santiciolli, Fabio Mazzariol; Costa, Eduardo Schettini; Dionísio, Heron José; Dedini, Franco Giuseppe

doi:10.1007/978-3-319-09858-6_14

Cited by 8 publications

(6 citation statements)

References 4 publications

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“…Based on previous results presented by Eckert et al (2015), the current simulated vehicle is unable to follow the US06 velocity profile in some acceleration sections. Thus, a convergence criterion is used, based on the repeatability of the best result in the population.…”

Section: Population and Convergence Criteriamentioning

confidence: 92%

“…Previous simulations shown in Eckert et al (2015) concluded that the simulated A c c e p t e d M a n u s c r i p t vehicle is not able to keep the speed requested by the US06 cycle in some acceleration phases because of both engine power and tire traction limitations. For this reason, the objective now is to increase the vehicle performance in order to get results closer to the requested velocity profile avoiding fuel consumption increases.…”

Section: Introductionmentioning

confidence: 96%

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Vehicle gear shifting strategy optimization with respect to performance and fuel consumption

Eckert

Corrêa

Santiciolli

et al. 2015

Mechanics Based Design of Structures and Machines

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Based on the movement resistance forces, the vehicle longitudinal dynamics is related to power demand for a specific route. The vehicle gear shifting influences significantly the acceleration performance and fuel consumption because it changes the engine operation point and the powertrain inertia. This paper presents a study based on the US06 velocity profile which involves high speed and high acceleration phases, where the vehicle performance is limited by both the engine power and the tire traction limit. For improving A c c e p t e d M a n u s c r i p t the vehicle performance without increasing fuel consumption, a genetic algorithm (GA) technique is used.

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Section: Population and Convergence Criteriamentioning

confidence: 92%

Section: Introductionmentioning

confidence: 96%

Vehicle gear shifting strategy optimization with respect to performance and fuel consumption

Eckert

Corrêa

Santiciolli

et al. 2015

Mechanics Based Design of Structures and Machines

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“…On the top, it is exposed a typical torque curve of a 1 liter engine as a function of the throttle opening. The specific fuel consumption map is pictured on the bottom (adapted from ECKERT et al, 2015).…”

Section: Simulation Configurationmentioning

confidence: 99%

<b>Multiobjective gear shifting optimization considering a known driving cycle

et al. 2015

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ABSTRACT. The reduction of the fuel consumption of the vehicles driven by combustion engines is a target of the automakers, governments and drivers. The literature asserts that the adjustment of the driver behavior results in a substantial fuel economy. Specifically, the gear shifting is one aspect of the driver behavior that can be changed by the use of support systems installed in the vehicle that indicate the right moment that the gear must be shifted. The interested community is focused on the development of the algorithms that are implemented in these support systems. These algorithms must be able to arbitrate between two antagonistic objective functions simultaneously: the maximization of the performance and the fuel economy. Thus, this paper demonstrates that it is possible to calculate the trade-off threshold between performance and fuel economy of a vehicle by means of the multiobjective optimization of the gear shifting considering a known driving cycle. To reach this objective, it is created a dynamic model of an automobile base on the literature data; the optimization algorithm implemented is Non-dominated Sorting Genetic Algorithm -II and the driving cycle used is described by the standards ABNT NBR6601:2012 and FTP-72.Keywords: fuel economy, performance, trade-off, NSGA-II.Otimização multiobjetivo da troca de marchas em um ciclo de condução previamente conhecido RESUMO. A redução do consumo de combustível dos veículos com motor a combustão é um objetivo tanto da indústria automotiva, quanto dos governos e dos motoristas. A literatura aponta que a correção da conduta do motorista junto ao seu veículo resulta em uma economia de combustível substancial. Especificamente, a mudança de marchas é um aspecto da conduta do motorista que pode ser alterado por meio do uso de sistemas auxiliares instalados no veículo, que indiquem o momento correto para execução da troca. A comunidade interessada está voltada para o desenvolvimento dos algoritmos implementados sobre esses sistemas auxiliares. Esses algoritmos devem ser capazes de arbitrar simultaneamente sobre duas funções de objetivo antagônicas: as maximizações de desempenho e de economia de combustível. Assim, o objetivo deste trabalho é demonstrar que é possível calcular o limiar de compromisso entre desempenho e economia de combustível de um veículo por meio da otimização multiobjetivo da troca de marchas, considerando um ciclo de condução conhecido. Para isso, é construído o modelo dinâmico de um automóvel baseado em dados da literatura; o algoritmo de otimização empregado é o "Non-dominated Sorting Genetic Algorithm -II" e o ciclo de condução utilizado é descrito pelas normas ABNT NBR6601:2012 e FTP-72.Palavras-chave: economia de combustível, desempenho, compromisso, NSGA-II.

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“…The vehicle power demand is based on the forces acting during the vehicle displacement as the aerodynamic drag, rolling and climbing resistance, powertrain and longitudinal displacement inertias and the driving behavior that inputs the desired vehicle acceleration [21] and [22]. The vehicle longitudinal dynamics evaluates, by means of equations, the motion resistance forces to define the vehicle required power to reach the drive desired speed.…”

Section: Vehicle Longitudinal Dynamicsmentioning

confidence: 99%

“…In vehicles propelled by the frontal wheels, the weight transferred during the vehicle acceleration can reduce the tire-ground maximum transmissible force � ( ) � [N] and decrease the vehicle performance as demonstrated in [22]. On the other hand, the rear tires traction limit � (14) and (15) show the maximum tire transmissible force…”

Section: Vehicle Longitudinal Dynamicsmentioning

confidence: 99%

An Influence Study of Parallel Hybrid Vehicle Propulsion System Configurations

Eckert

Corrêa

Santiciolli

et al. 2015

Anais Do XXIII Simpósio Internacional De Engenharia Automotiva

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The hybrid electric vehicle (HEV) became an alternative to reduce the fuel consumption. The HEV parallel configuration consists of two separated drive systems, such as the engine/powertrain system and an extra electric motors (EMs) system. The addition of an extra electrical power changes the engine operation point and consequently the fuel consumption. However, there are many ways to introduce this electrical power source as a secondary drive system. In this paper, two parallel HEV configurations are studied in a condition where the conventional engine/powertrain system, coupled to the vehicle front wheels, is the main power source and two different configurations of EMs drive system, coupled to the rear wheels, are auxiliary power sources. The first one consists of two in-wheel motors coupled directly to the vehicle rear wheels and the other one is an EM coupled to a differential system similar to the existent in the conventional vehicle powertrain. The aim of this paper is to simulate and compare the HEV behavior with the conventional vehicle behavior, both of them running in the Brazilian urban drive cycle NBR6601, evaluating differences in performance, fuel consumption and battery discharging when applicable. INTRODUTIONThe increasing number of cars may be causing serious effects to the environment and to humans, such as pollution, global warming, depletion of oil reserves, among others The hybrid vehicles use different power sources with various powertrain configurations, including the ICE, electric motors (EMs), electric generators and battery packs [6]. In this paper are studied the hybrid electric vehicles (HEVs) that are one of the solutions proposed to minimize problems associated with the energy crisis and global warming [3]. These vehicles consume less gasoline and emit less pollution than conventional vehicles without decreasing

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Gear Shifting Strategies Co-simulations to Optimize Vehicle Performance and Fuel Consumption

Cited by 8 publications

References 4 publications

Vehicle gear shifting strategy optimization with respect to performance and fuel consumption

Vehicle gear shifting strategy optimization with respect to performance and fuel consumption

<b>Multiobjective gear shifting optimization considering a known driving cycle

An Influence Study of Parallel Hybrid Vehicle Propulsion System Configurations

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