Design and analysis of hybrid electric vehicle powertrain configurations considering energy transformation

Hu, Jianjun; Jiang, Xingyue; Zheng, Ling‐Ling

doi:10.1002/er.4225

Cited by 17 publications

(14 citation statements)

References 26 publications

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“…The obtained equations are summarized in previous literature. 29,[33][34][35] Mechanical part. The car speed equation can be expressed as presented in equation (6).…”

Section: Mathematical Modelmentioning

confidence: 99%

The efficiency of PSO-based MPPT technique of an electric vehicle within the city

Kariem

Touti

Fetouh

2020

Measurement and Control

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Electrical vehicle fed by photovoltaic energy represents a complex system, which needs a high-performance control algorithm. Regarding the real situations, mostly the electric vehicle will be moving inside the city. If this system is covered by photovoltaic cells, the efficiency of this renewable energy source will depend on various factors. The shade areas or sunlight zones which exist in the city make the solar system unstable. Resolving this problem can increase the battery autonomy and allow addition of some running kilometers to the vehicle. Based on this objective, this study deals with the problem of solar variation and its influence on vehicle efficiency within the city. The problem is how to extract the maximum energy in this case. In order to maximize the global energy performance and increase vehicle autonomy, the optimal control method will be applied to this photovoltaic system taking into account some performance indicators such as the obtained power, the tracking speed, and the chattering level. Therefore, this study explores two control techniques in order to extract the maximum power from the solar energy system, which are the incremental method and the particle swarm optimization method. Simulink/MATLAB tool is used for simulation and comparison study based on the offered performance indicators. The obtained results show that the particle swarm optimization method has high global performance and an energy gain is obtained.

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“…The obtained equations are summarized in previous literature. 29,[33][34][35] Mechanical part. The car speed equation can be expressed as presented in equation (6).…”

Section: Mathematical Modelmentioning

confidence: 99%

The efficiency of PSO-based MPPT technique of an electric vehicle within the city

Kariem

Touti

Fetouh

2020

Measurement and Control

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“…We indicate by “SOC(K)” the instantaneous battery SOC. The obtained equations are summarized from several references …”

Section: Electric and Hybrid Vehicle Architecturesmentioning

confidence: 99%

“…Their related basing idea and principles consist of providing the EV by a hybrid charging system, which contains an ICE engine and an electrical generator. 10,11 According to these works, the battery can be charged even when the car is in motion. Conversely, the problem is always attached to the internal system complexity and the vehicle high prices.…”

Section: A Literature Review On the Power Management Problem Insidementioning

confidence: 99%

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Design and analysis of a novel power management approach, applied on a connected vehicle as V2V, V2B/I, and V2N

Aymen

Mahmoudi

2019

Int J Energy Res

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Summary The communication technologies were evolving rapidly and making everything connected. Peoples, vehicles, and buildings become connected everywhere. Concentrating on the targets that vehicle can be connected with, the present paper exposes a new power management approach applicable for three kinds of connected vehicles. Vehicle to buildings or infrastructure, vehicle to network, and vehicle to vehicle are the three communication protocols between vehicle and external targets. The proposed approach is designed for implementing all of these three communication cases. It is based on the principle of vehicle data sharing. Each vehicle will share a package of data, which contain information related to the vehicle status and the road condition. This information will be collected in a database and used for managing the power inside these cars. This approach is built on two stages; the first one is related to vehicles' classification, and the second one is attached to the recommendation, and this is according to the car position and according to the communication protocol case. The first stage was resolved using the support vector classification method. The second stage was treated using the artificial intelligence principle, and the neural network was employed. So the optimal decision will be outputted. According to the vehicle communication method, the optimal decision will be identified inside the building, infrastructure, vehicle, or the cloud database. This will be related to the vehicle position using the old vehicle's data. So the obtained decission will be transferred to the coming vehicle, for optimizing its energy consumption method in the corresponding area. Different possibilities and situations were discussed in this approach. The power management methodology was verified and confirmed. For showing the efficiency of this approach, a comparison of the obtained results in relation to the battery state of charge and the consumed energy results will be done. Matlab simulink was used for doing the necessary tests.

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“…4 The transmission of the PHEV, as the core of the powertrain, can allocate the power of the motor and the engine according to demand, thus affecting the fuel economy of the vehicle. In order to take advantage of the PHEV for fuel economy, automatic transmission (AT), automatic mechanical transmission (AMT), and dual clutch transmission (DCT) technologies have been applied to hybrid transmission systems, [5][6][7] and most of them usually have 6-8 gear ratios, which not only significantly restrict the improvement of fuel economy 8 but also create shock during gear shift. In contrast to them, an infinite number of gear ratios can be provided by CVT within the limits of the mechanism, so there is a chance to achieve the best match between the working points of the engine and the motor.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation and optimization of a novel plug‐in power‐reflux hybrid electric vehicle powertrain

Sun

Liu

et al. 2020

Int J Energy Res

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Summary In order to improve the fuel economy of hybrid electric vehicles, a novel plug‐in power‐reflux hybrid electric vehicle powertrain equipped with an electromechanical control continuously variable transmission (EMCVT) is proposed in this study. The proposed structure, which combines the dynamic property of the planetary mechanism and regulating characteristics of the continuous speed ratio with EMCVT, can transmit power in two modes, namely power‐reflux mode and pure‐CVT mode, thus realizing the multistage design of the overall transmission system. Hence, it demonstrates a wider speed ratio variation range and higher transmission efficiency than the “Pathfinder‐like” parallel configuration with traditional electro‐hydraulic CVT (EHCVT). To take full advantage of its potential for fuel economy, the highest transmission efficiency of the system is taken as the optimization objective for the target speed ratio of the system. The optimization results are incorporated in the control strategy based on Pontryagin's minimum principle to simulate fuel consumption under the new European driving cycle (NEDC), highway fuel economy test (HWFET), and urban dynamometer driving schedule (UDDS). Compared with the simulation of the “THS II‐like” configuration with similar vehicular parameters, the results show that the novel configuration has better fuel economy.

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Design and analysis of hybrid electric vehicle powertrain configurations considering energy transformation

Cited by 17 publications

References 26 publications

The efficiency of PSO-based MPPT technique of an electric vehicle within the city

The efficiency of PSO-based MPPT technique of an electric vehicle within the city

Design and analysis of a novel power management approach, applied on a connected vehicle as V2V, V2B/I, and V2N

Performance evaluation and optimization of a novel plug‐in power‐reflux hybrid electric vehicle powertrain

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