Intelligent decision support platform of new energy vehicles

Zhenpo Wang; Zhenyu Sun; Peng Liu; Shuo Wang; Zhaosheng Zhang

doi:10.23919/JSEE.2022.000078

Intelligent decision support platform of new energy vehicles

Zhenpo Wang, Zhenyu Sun, Peng Liu, Shuo Wang^*, Zhaosheng Zhang

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

New energy vehicles (NEVs) are gaining wider acceptance as the transportation sector is developing more environmentally friendly and sustainable technology. To solve problems of complex application scenarios and multi-sources heterogenous data for new energy vehicles and weak platform scalability, the framework of an intelligent decision support platform is proposed in this paper. The principle of software and hardware system is introduced. Hadoop is adopted as the software system architecture of the platform. Master-standby redundancy and dual-line redundancy ensure the reliability of the hardware system. In addition, the applications on the intelligent decision support platform in usage patterns recognition, energy consumption, battery state of health and battery safety analysis are also described.

Original language	English
Pages (from-to)	785-791
Number of pages	7
Journal	Journal of Systems Engineering and Electronics
Volume	33
Issue number	4
DOIs	https://doi.org/10.23919/JSEE.2022.000078
Publication status	Published - 1 Aug 2022

Keywords

data platform application
intelligent decision support platform
new energy vehicle (NEV)
software system

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.23919/JSEE.2022.000078

Cite this

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title = "Intelligent decision support platform of new energy vehicles",

abstract = "New energy vehicles (NEVs) are gaining wider acceptance as the transportation sector is developing more environmentally friendly and sustainable technology. To solve problems of complex application scenarios and multi-sources heterogenous data for new energy vehicles and weak platform scalability, the framework of an intelligent decision support platform is proposed in this paper. The principle of software and hardware system is introduced. Hadoop is adopted as the software system architecture of the platform. Master-standby redundancy and dual-line redundancy ensure the reliability of the hardware system. In addition, the applications on the intelligent decision support platform in usage patterns recognition, energy consumption, battery state of health and battery safety analysis are also described.",

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author = "Zhenpo Wang and Zhenyu Sun and Peng Liu and Shuo Wang and Zhaosheng Zhang",

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AU - Wang, Zhenpo

AU - Sun, Zhenyu

AU - Liu, Peng

AU - Wang, Shuo

AU - Zhang, Zhaosheng

PY - 2022/8/1

Y1 - 2022/8/1

N2 - New energy vehicles (NEVs) are gaining wider acceptance as the transportation sector is developing more environmentally friendly and sustainable technology. To solve problems of complex application scenarios and multi-sources heterogenous data for new energy vehicles and weak platform scalability, the framework of an intelligent decision support platform is proposed in this paper. The principle of software and hardware system is introduced. Hadoop is adopted as the software system architecture of the platform. Master-standby redundancy and dual-line redundancy ensure the reliability of the hardware system. In addition, the applications on the intelligent decision support platform in usage patterns recognition, energy consumption, battery state of health and battery safety analysis are also described.

AB - New energy vehicles (NEVs) are gaining wider acceptance as the transportation sector is developing more environmentally friendly and sustainable technology. To solve problems of complex application scenarios and multi-sources heterogenous data for new energy vehicles and weak platform scalability, the framework of an intelligent decision support platform is proposed in this paper. The principle of software and hardware system is introduced. Hadoop is adopted as the software system architecture of the platform. Master-standby redundancy and dual-line redundancy ensure the reliability of the hardware system. In addition, the applications on the intelligent decision support platform in usage patterns recognition, energy consumption, battery state of health and battery safety analysis are also described.

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KW - intelligent decision support platform

KW - new energy vehicle (NEV)

KW - software system

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JF - Journal of Systems Engineering and Electronics

IS - 4

ER -

Intelligent decision support platform of new energy vehicles

Abstract

Keywords

UN SDGs

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