An Investigation Into Key Influence Factors for the Everyday Usability of Electric Vehicles

被引:10
|
作者
Thorgeirsson, Adam Thor [1 ,3 ]
Scheubner, Stefan [2 ,3 ]
Fuenfgeld, Sebastian [1 ,3 ]
Gauterin, Frank [3 ]
机构
[1] Dr Ing hcF Porsche AG, Dept Energy Management, R&D Ctr, Weissach, Germany
[2] EnBW AG, Dept Mobil Charging Infrastruct, D-76131 Karlsruhe, Germany
[3] Karlsruhe Inst Technol, Inst Vehicle Syst Technol, D-76131 Karlsruhe, Germany
关键词
Range estimation; electric vehicles; charging infrastructure; stochastic simulation; FAST CHARGING INFRASTRUCTURE; RANGE ESTIMATION; PREDICTION; IMPACT; SUPPORT; FEASIBILITY; BEHAVIOR; ANXIETY; DEMAND; ENERGY;
D O I
10.1109/OJVT.2020.3031699
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Society relies on electric mobility to decrease the problems associated with local emissions and global climate change. One key factor for the success of electric vehicles is their everyday usability. Today's users must deal with limited driving range in a sparse charging infrastructure. In this work, we investigate central features influencing the everyday usability of electric vehicles, such as battery capacity, charging infrastructure, range prediction accuracy and vehicle concepts. Since the influence of these aspects depend on each other, they cannot be examined separately. Therefore, we created a stochastic simulation framework with vehicle models and map data to calculate a large amount of different feature variations. One of our key findings is that battery capacities beyond 100 kWh are not feasible. In addition, we stated the importance of an accurate range estimation algorithm and a dense network of high-performance charging points for everyday usability. Taking these results into consideration would help policy makers and automobile manufacturers achieve worldwide acceptance of electric vehicles.
引用
收藏
页码:348 / 361
页数:14
相关论文
共 50 条
  • [21] Research on the influence factors of brake regenerative energy of pure electric vehicles based on the CLTC
    Zhang, Haiyan
    Chen, Dawei
    Zhang, Hao
    Liu, Yu
    ENERGY REPORTS, 2022, 8 : 85 - 93
  • [22] Understanding the Future Impacts of Electric Vehicles-An Analysis of Multiple Factors That Influence the Market
    Wellings, Jonathan
    Greenwood, David
    Coles, Stuart R.
    VEHICLES, 2021, 3 (04): : 851 - 871
  • [23] Study on Influence Factors of Electric Vehicles Charging Station Location Based on ISM and FMICMAC
    Wu, Han
    Niu, Dongxiao
    SUSTAINABILITY, 2017, 9 (04)
  • [24] An investigation into usage patterns of electric vehicles in Ireland
    Weldon, Peter
    Morrissey, Patrick
    Brady, John
    O'Mahony, Margaret
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2016, 43 : 207 - 225
  • [25] Investigation of electric drive system of rail vehicles
    Gajdár, T
    Korondi, P
    Burlacu, C
    Hashimoto, H
    APPLIED ELECTROMAGNETICS AND COMPUTATIONAL TECHNOLOGY II, PROCEEDINGS, 2000, 16 : 264 - 275
  • [26] Factors Influencing the Adoption of Electric Vehicles in Bengaluru
    Meghna Verma
    Ashish Verma
    Mahim Khan
    Transportation in Developing Economies, 2020, 6
  • [27] Influencing Factors of Load Characteristics of Electric Vehicles
    Chen, Rongjun
    Li, Dezhi
    He, Yongxiu
    PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL, AUTOMATION AND MECHANICAL ENGINEERING (EAME 2017), 2017, 86 : 13 - 16
  • [28] Factors Influencing the Adoption of Electric Vehicles in Bengaluru
    Verma, Meghna
    Verma, Ashish
    Khan, Mahim
    TRANSPORTATION IN DEVELOPING ECONOMIES, 2020, 6 (02)
  • [29] Factors influencing purchase of electric vehicles in China
    Danhua Ouyang
    Xunmin Ou
    Qian Zhang
    Changgui Dong
    Mitigation and Adaptation Strategies for Global Change, 2020, 25 : 413 - 440
  • [30] Factors influencing purchase of electric vehicles in China
    Ouyang, Danhua
    Ou, Xunmin
    Zhang, Qian
    Dong, Changgui
    MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE, 2020, 25 (03) : 413 - 440