Power balance control based on full state feedback for a fuel‐cell hybrid electric vehicle

Fu, Jiangtao; Fu, Zhumu; Song, Shuzhong

doi:10.1002/asjc.2395

Cited by 2 publications

(1 citation statement)

References 35 publications

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“…The driving resistance power of a pure electric vehicle includes the rolling resistance power (P f ), air resistance power (P w ), slope resistance power (P i ), and acceleration resistance power (P j ). The power balance equation is as follows [45]: A motor is an electrical device that transforms electrical energy into mechanical energy. When it operates in this manner, it functions as a motor.…”

Section: Driving Formula For Electric Vehiclesmentioning

confidence: 99%

A Logic Threshold Control Strategy to Improve the Regenerative Braking Energy Recovery of Electric Vehicles

Yin,

Ma,

Zhang

et al. 2023

Sustainability

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With increasing global attention to climate change and environmental sustainability, the sustainable development of the automotive industry has become an important issue. This study focuses on the regenerative braking issues in pure electric vehicles. Specifically, it intends to elucidate the influence of the braking force distribution of the front and rear axles on access to energy recovery efficiency. Combining the I curve of a pure electric vehicle and the boundary line of the Economic Commission of Europe (ECE) regulations, the braking force distribution relationship between the front and rear axles is formulated to satisfy braking stability. The maximum regenerative braking force of the motor is determined based on the motor torque characteristics and battery charging power, and the regenerative braking torque is optimized by combining the constraints of the braking strength, battery state of charge (SOC), and vehicle speed. Six road working conditions are built, including the New European Driving Cycle (NEDC), the World Light-Duty Vehicle Test Cycle (WLTC), Federal Test Procedure 72 (FTP-72), Federal Test Procedure 75 (FTP-75), the China Light-Duty Vehicle Test Cycle—Passenger (CLTC-P), and the New York City Cycle (NYCC). The efficiency of the regenerative braking strategy is validated by using the Simulink/MATLAB simulation. The simulation results show that the proposed dynamic logic threshold control strategy can significantly improve the energy recovery effect of electric vehicles, and the energy recovery efficiency can be improved by at least 25% compared to the situation without regenerative braking. Specifically, under the aforementioned road working conditions, the braking energy recovery efficiency levels are 27.69%, 42.18%, 49.54%, 47.60%, 49.28%, and 51.06%, respectively. Moreover, the energy recovery efficiency obtained by the current dynamic logic threshold is also compared with other published results. The regenerative braking control method proposed in this article makes the braking control of electric vehicles more precise, effectively reducing energy consumption and improving the driving range of electric vehicles.

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Section: Driving Formula For Electric Vehiclesmentioning

confidence: 99%

A Logic Threshold Control Strategy to Improve the Regenerative Braking Energy Recovery of Electric Vehicles

Yin,

Ma,

Zhang

et al. 2023

Sustainability

View full text Add to dashboard Cite

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Design optimization of electromagnetic shielding and charging efficiency for electric vehicle wireless charging system

Dai,

Geng,

Ouyang

et al. 2023

AIP Advances

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Electric vehicle (EV) technology is rapidly advancing, yet the wireless charging system for EVs still faces challenges in terms of insufficient charging efficiency and electromagnetic safety. To overcome these obstacles, this study proposes a novel approach by integrating the double-ended charge-level capacitance charging model with a composite electromagnetic shielding scheme, resulting in the charge-level capacitance composite shielding charging model. Experimental verification confirms the effectiveness of the proposed composite electromagnetic shielding model, demonstrating superior shielding performance compared to conventional models. Furthermore, performance analysis of the suggested charge-level capacitance composite shielding charging model reveals a disk loss of 0.087 W, a transmission efficiency of 98.25%, and a magnetic induction strength of 9.09 T. Collectively, these comprehensive findings indicate that the proposed charging model offers enhanced charging performance and electromagnetic shielding capabilities, surpassing those of traditional models, and holds practical value for real-world implementation.

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Power balance control based on full state feedback for a fuel‐cell hybrid electric vehicle

Cited by 2 publications

References 35 publications

A Logic Threshold Control Strategy to Improve the Regenerative Braking Energy Recovery of Electric Vehicles

A Logic Threshold Control Strategy to Improve the Regenerative Braking Energy Recovery of Electric Vehicles

Design optimization of electromagnetic shielding and charging efficiency for electric vehicle wireless charging system

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