An Optimal Control Strategy for Parallel Hybrid Electric Vehicles

Delkhosh, M.; Foumani, Mahmoud Saadat

doi:10.24200/sci.2018.20996

Cited by 10 publications

(16 citation statements)

References 41 publications

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“…Some of the issues concerned with the EACS are the way of determining the optimal values of its parameters as well as the generality of the optimization results. Different investigations have been implemented on the optimization of the EACS parameters to reach an optimal controller for a given driving cycle [6,[19][20][21][22][23][24]. The sensitivity of the optimization results to the pattern of driving cycle is another concern in finding the optimal parameters [6,[19][20][21]25].…”

Section: Nomenclaturementioning

confidence: 99%

A New Framework for Advancement of Power Management Strategies in Hybrid Electric Vehicles

Delkhosh

Foumani

Azad

2020

IJE

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Power management strategies play a key role in the design process of hybrid electric vehicles. Electric Assist Control Strategy (EACS) is one of the popular power management strategies for hybrid electric vehicles (HEVs). The present investigation proposes a new framework to advance the EACS. Dynamic Programming method is applied to an HEV model in several drive cycles, and as a result, some optimal operating regions are found. The obtained regions are almost distinct, and consequently, some threshold lines can be defined to separate them. The obtained threshold lines are used to eliminate some parameters of the EACS to reduce its sensitivity to the driving behavior. It is shown that by applying the mentioned modification, the sensitivity of the EACS decreases without a significant increase in the HEV's FC. All in all, our findings indicate the effectiveness of the proposed methodology to improve the EACS strategy for HEV supervisory control applications.

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Section: Nomenclaturementioning

confidence: 99%

A New Framework for Advancement of Power Management Strategies in Hybrid Electric Vehicles

Delkhosh

Foumani

Azad

2020

IJE

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“…For the other steps of exploratory factor analysis, several methods have been proposed. In this 8 study, a set of these methods have been examined, and no change in the results have been observed.…”

Section: Factor Analysismentioning

confidence: 99%

“…Also, for more than four decades, transportation experts have been studying the factors that affect an individual's vehicle type choice [6]. Vehicle type is one of the factors that have the greatest effects on safety and accident damages [7], fuel consumption [8], and air pollution [9]. According to statistics derived from Iran Legal Medicine Organization, in 2016, more than 16000 people were killed and approximately 333000 people were injured due to car accidents and motor vehicle collisions [10]; this amounts to two people per hour.…”

Section: Introductionmentioning

confidence: 99%

The effect of transportation and safety attitudes, personality, and lifestyle on vehicle type choice: a case study of Tehran

Mohammadi

Kermanshah

2019

Scientia Iranica

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In recent years, researchers have paid specific attention to safety, air pollution, and energy consumption, which are all affected by the vehicle type. The primary objective of this study is to achieve a thorough understanding of the relationships between transportation attitudes, safety attitudes, personality, as well as lifestyle and vehicle type for the first time in Iran, as a developing country. For this purpose, an interview questionnaire was designed, and 740 participants were interviewed in Tehran. Vehicle types are categorized into seven groups: mini, compact, medium, heavy, SUV, pickup, and motorcycle. In the first stage, factor analysis was used to identify the latent variables regarding transportation attitudes, safety attitudes, personality, and lifestyle. In the second step, by using these latent variables, individuals are classified, and a two-level clustering is formed. The correlation analysis performed in the third step shows a significant relationship between each category of people and the type of car. Likewise, the analyses carried out in this study reveal the significant relations between the vehicle type (classified based on fuel economy level, production country, vehicle emission, and vintage) and the attitudes of its owner. This information is beneficial to both vehicle manufacturers and transportation planners.

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“…The optimization parameters for each strategy are the same as their control parameters listed in Table 2. In this table, variation ranges of these parameters are defined based on Delkhosh et al 27 It should be noted that the parameters of CVT-based and the proposed strategy are the first four variables listed in this table.…”

Section: Assessment Of the Modified Strategymentioning

confidence: 99%

Investigating the effect of engine noise on power management strategy of a hybrid electric vehicle

Delkhosh

Aliramezani

Nahvi

2017

Proceedings of the Institution of Mechanical Engineers, Part D:

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Hybrid electric vehicles (HEVs) have been developed as a promising way to decrease the fuel consumption and emissions of conventional vehicles. Although the noise emission of HEVs is generally lower than that of conventional vehicles, it is still an issue, especially in urban transportation. In this paper, a power management strategy is developed to minimize the annoying noise of the engine for an HEV. This is a modified version of the strategy that was originally established based on the speed ratio of continuously variable transmission (CVT) as the control parameter (CVT-based strategy). The engine combustion noise is assessed using the experimental data of the in-cylinder pressure. Also, the engine brake specific fuel consumption (bsfc) is defined from the experiments. The bsfc and noise data are implemented in the power management strategy. The proposed strategy offers a better performance in terms of reducing engine noise and fuel consumption in comparison with an electric assist control strategy (EACS). On the other hand, the proposed strategy results in a lower level of engine noise than the original CVT-based strategy at the expense of slightly increasing the fuel consumption. For instance, the noise level (dB) in an urban dynamometer driving cycle using the proposed strategy is 49% lower than the case of CVT-based strategy, while the vehicle FC is about 1.1% more than the CVT-based case.

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An Optimal Control Strategy for Parallel Hybrid Electric Vehicles

Cited by 10 publications

References 41 publications

A New Framework for Advancement of Power Management Strategies in Hybrid Electric Vehicles

A New Framework for Advancement of Power Management Strategies in Hybrid Electric Vehicles

The effect of transportation and safety attitudes, personality, and lifestyle on vehicle type choice: a case study of Tehran

Investigating the effect of engine noise on power management strategy of a hybrid electric vehicle

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