Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

Research Article

A Cost model for Battery Chargers over Energy Optimisation and Social Results

Download33 downloads
  • @INPROCEEDINGS{10.4108/eai.27-10-2023.2341988,
        author={Jianan  Shan and Bu  Yu and Shaonan  Feng and Haoli  Chen},
        title={A Cost model for Battery Chargers over Energy Optimisation and Social Results},
        proceedings={Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27--29, 2023, Tianjin, China},
        publisher={EAI},
        proceedings_a={ICEMBDA},
        year={2024},
        month={1},
        keywords={linear regression likert scale market complementary model single objective planning mode},
        doi={10.4108/eai.27-10-2023.2341988}
    }
    
  • Jianan Shan
    Bu Yu
    Shaonan Feng
    Haoli Chen
    Year: 2024
    A Cost model for Battery Chargers over Energy Optimisation and Social Results
    ICEMBDA
    EAI
    DOI: 10.4108/eai.27-10-2023.2341988
Jianan Shan1,*, Bu Yu1, Shaonan Feng1, Haoli Chen1
  • 1: The Pennsylvania State University
*Contact email: sophiajianan@outlook.com

Abstract

The electricity demands from battery charging of an increasing number of electric cars and 5th-generation smartphones produce a huge cost. Thus, a cost model [1] is desired with respect to solving the four emerging issues as follows: Problem 1. We analyse the recent data from electricity consumption in the United States and synthesise the development process of 5G technology with the market occupation ratio of electric vehicles. We make predictions on the requirements of energy and electricity in the following five years in the United States through the data regression by curve fitting using Matlab. We will discuss the impact from economic and social aspects.