Co-simulation to evaluate acceleration performance and fuel consumption of hybrid vehicles

Eckert, Jony Javorski; Santiciolli, Fabio Mazzariol; Silva, Ludmila C. A.; Costa, Eduardo Schettini; Corrêa, Fernanda Cristina; Dedini, Franco Giuseppe

doi:10.1007/s40430-015-0484-4

Cited by 17 publications

(15 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The third optimization criterion is related to the EV performance as compared with the velocities profiles of the simulated cycles. In this paper, the vehicle performance is evaluated by the correlation coefficient R as in Eckert et al 13,27 The R value defined by Equation 24 provides a numerical value that measures the vehicle capacity to reproduce the target cycle speed profile, comparing the results performed by the current vehicle speed V of EV in the first cycle loop simulation (Figure 2) with the target speed values V c (considering discrete time intervals i of 0.1 s).…”

Section: Optimization Problem Formulationmentioning

confidence: 99%

“…The configuration that aims to minimize the HESS mass (min( 1 )) also represents the minimum drive range (66.38 km) reached by the optimum solutions ( Figure 5A,D), using an HESS composed of a 181.77 V battery with 90.86 Ah capacity (M bat = 137.64 kg), associated with a pack of 4 ultracapacitors Cap (7) (M cap = 34 kg). This configuration drive uses the battery pack until the EV reaches the US06 driving cycle (2650 s) that is characterized by high acceleration stretches 17,27 that increase the vehicle power demand. Due to this, the HESS required current I overcomes the battery discharge limit I lim that enables the PMC to complete the demand with the ultracapacitors power (I cap = I − I lim ).…”

Section: Minimum Hess Mass Solutionmentioning

confidence: 99%

See 1 more Smart Citation

Energy storage and control optimization for an electric vehicle

et al. 2018

View full text Add to dashboard Cite

Summary Two big issues involving electric vehicles are energy supply and power management control. To deal with the energy supply problem, this paper proposes the application of a hybrid energy source system, composed of battery pack and ultracapacitor bank. The power management control between the energy supplies was defined by a fuzzy logic with inference rules optimized through genetic algorithm. The genetic algorithm optimizes lower and upper limits of membership functions aiming to reduce the hybrid energy source system total mass while maximizing the electric vehicle drive range and performance. Through the Pareto frontier, we found the best trade‐off solution.

show abstract

Section: Optimization Problem Formulationmentioning

confidence: 99%

Section: Minimum Hess Mass Solutionmentioning

confidence: 99%

Energy storage and control optimization for an electric vehicle

et al. 2018

View full text Add to dashboard Cite

show abstract

“…The simulations were performed by an integration between the multibody dynamic analysis program Adams TM and the Simulink/Matlab TM which provides an interface to control the multibody vehicle model by means of the Adams TM plugin Adams/Controls TM as proposed in [3]. The set of equations described previously were implemented in Simulink TM to estimate the vehicle power demand, the gear shifting strategy, and the power split between the ICE and electric systems for the PHEV simulations.…”

Section: Simulation Parametersmentioning

confidence: 99%

“…Thus, the vehicle must discharge the battery until it reaches a minimum SoC of 30%-45% depending on battery type and on the powertrain configuration [2], [22]. In this paper the battery SoC is limited to 40% as in [3].…”

Section: Phev Eletric Drive Systemmentioning

confidence: 99%

“…In this configuration, the PMS was expanded to include these new components in its management algorithms. Figure 1 -Conventional and parallel hybrid vehicles adapted from [3] The PHEV configuration chosen for analysis is known as "through-the-road" (TtR) HEV. This is a singular type of HEV because both sources of traction force are summed up "through the road" instead of combing them into one driveline (as it is done in the majority of the other PHEV configurations studied in the literature).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Fuel consumption and emissions analysis for a hybridized vehicle

Eckert¹,

Santiciolli²,

Silva³

et al. 2016

Anais Do XXIV Simpósio Internacional De Engenharia Automotiva

View full text Add to dashboard Cite

The improvement of the energetic efficiency in vehicular systems is a growing demand when developing new technologies for the automotive sector. Laws and regulatory standards that aim at the reduction of fuel consumption, such as the Brazilian INOVAR-AUTO, create constrains in order to improve the overall efficiency and reduce the emissions of new produced automobiles. Hybrid electric vehicles (HEVs) became an alternative to achieve these goals, by adding electricity as an auxiliary propulsion source. Several surveys have revealed the advantages of hybrid configurations, which demonstrated significant fuel savings resulting from shifting the engine operation point to regions of lower consumption. This study evaluates the impact of the conversion of a 1.0L vehicle into a plug-in electric vehicle (PHEV), by means of coupling electric motors supplied by lead-acid battery to the vehicle rear wheels (Parallel HEV Configuration). Thus, by means of simulations, this work aims to investigate the impact that the auxiliary electric system can produce in the fuel consumption and emissions of greenhouse gases when the vehicle is submitted to the standard Brazilian drive cycles NBR 6601 and NBR 7024. INTRODUTION The number of people who are adept to the means of private transportation has increased over the last decades. This number is strongly correlated with the number of automobiles in use on the roads around the world. If it is assumed that the automakers will follow on producing the majority of the cars equipped with conventional combustion engine, the fossil energy consumption and greenhouse gas (GHG) emissions will keep growing [1]. Plug-in hybrid vehicles (PHEVs) are gaining attention due to their ability to reduce gasoline/diesel consumption by using electricity from the grid as an alternative energy source [2]. If this energy is produced in a clean way and transmitted efficiently to the PHEVs' battery, it is possible to say that these vehicles are more environmental friendly than the conventional ones, considering all the resources spent per kilometer.

show abstract