Automatic Generation Analysis Method of Automobile Chassis Electronic Control System Based on NLP-intelligent Control Condition

Yang, Liu; Sun, Shaoxin; Qin, Zongchen; Shan, Ge; Han, Zhijie

doi:10.1109/yac59482.2023.10401610

2023 38th Youth Academic Annual Conference of Chinese Association of Automation (YAC) 2023

DOI: 10.1109/yac59482.2023.10401610

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Automatic Generation Analysis Method of Automobile Chassis Electronic Control System Based on NLP-intelligent Control Condition

Liu Yang,

Shaoxin Sun,

Zongchen Qin

et al.

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2024

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A Multi-Source Braking Force Control Method for Electric Vehicles Considering Energy Economy

Wang,

Zhou,

Chu

et al. 2024

Energies

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Advancements in electric vehicle technology have promoted the development trend of smart and low-carbon environmental protection. The design and optimization of electric vehicle braking systems faces multiple challenges, including the reasonable allocation and control of braking torque to improve energy economy and braking performance. In this paper, a multi-source braking force system and its control strategy are proposed with the aim of enhancing braking strength, safety, and energy economy during the braking process. Firstly, an ENMPC (explicit nonlinear model predictive control)-based braking force control strategy is proposed to replace the traditional ABS strategy in order to improve braking strength and safety while providing a foundation for the participation of the drive motor in ABS (anti-lock braking system) regulation. Secondly, a grey wolf algorithm is used to rationally allocate mechanical and electrical braking forces, with power consumption as the fitness function, to obtain the optimal allocation method and provide potential for EMB (electro–mechanical brake) optimization. Finally, simulation tests verify that the proposed method can improve braking strength, safety, and energy economy for different road conditions, and compared to other methods, it shows good performance.

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A Multi-Source Braking Force Control Method for Electric Vehicles Considering Energy Economy

Wang,

Zhou,

Chu

et al. 2024

Energies

View full text Add to dashboard Cite

show abstract

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Automatic Generation Analysis Method of Automobile Chassis Electronic Control System Based on NLP-intelligent Control Condition

Cited by 1 publication

References 5 publications

A Multi-Source Braking Force Control Method for Electric Vehicles Considering Energy Economy

A Multi-Source Braking Force Control Method for Electric Vehicles Considering Energy Economy

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