PerfECT Design Tool: Electric Vehicle Modelling and Experimental Validation

被引:5
|
作者
Pinheiro, Henrique de Carvalho [1 ]
机构
[1] Dept Mech & Aerosp Engn DIMEAS, Politecn Torino, I-10138 Turin, Italy
来源
WORLD ELECTRIC VEHICLE JOURNAL | 2023年 / 14卷 / 12期
关键词
electric vehicles; modelling and simulation; design methodology; vehicle dynamics; electric powertrain; batteries; CATHODE MATERIAL; IMPACT;
D O I
10.3390/wevj14120337
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
This article addresses a common issue in the design of battery electric vehicles (BEVs) by introducing a comprehensive methodology for the modeling and simulation of BEVs, referred to as the "PerfECT Design Tool". The primary objective of this study is to provide engineers and researchers with a robust and streamlined approach for the early stages of electric vehicle (EV) design, offering valuable insights into the performance, energy consumption, current flow, and thermal behavior of these advanced automotive systems. Recognizing the complex nature of contemporary EVs, the study highlights the need for efficient design tools that facilitate decision-making during the conceptual phases of development. The PerfECT Design Tool is presented as a multi-level framework, divided into four logically sequential modules: Performance, Energy, Currents, and Temperature. These modules are underpinned by sound theoretical foundations and are implemented using a combination of MATLAB/Simulink and the vehicle dynamics software VI-CRT. The research culminates in the validation of the model through a series of experimental maneuvers conducted with a Tesla Model 3, establishing its accuracy in representing the mechanical, electrical, and thermal behavior of BEVs. The study's main findings underscore the viability of the design tool as an asset in the initial phases of BEV design. Beyond its primary application, the tool holds promise for broader utilization, including the development of active control systems, advanced driver assistance systems (ADAS), and solutions for autonomous driving within the domain of electric vehicles.
引用
收藏
页数:28
相关论文
共 50 条
  • [1] Design, Construction, and Validation of an Experimental Electric Vehicle with Trajectory Tracking
    Viscaya, Joel Artemio Morales
    Gutierrez, Alejandro Israel Barranco
    Gomez, Gilberto Gonzalez
    SENSORS, 2024, 24 (09)
  • [2] Electric vehicle design, modelling and optimization
    Guizani, Amir
    Hammadi, Moncef
    Choley, Jean-Yves
    Soriano, Thierry
    Abbes, Mohamed Slim
    Haddar, Mohamed
    MECHANICS & INDUSTRY, 2016, 17 (04) : 405 - +
  • [3] Design, analysis, and experimental validation of a novel seamless automatic transmission for electric vehicle
    Yu, Jie
    Yao, Ligang
    Ren, Chengcheng
    Yan, Xiaolei
    Lin, Li
    ADVANCES IN MECHANICAL ENGINEERING, 2018, 10 (02)
  • [4] Design and Experimental Validation for Stability Control of Four-Wheel-Drive Electric Vehicle
    Liu, Fei
    Xiong, Lu
    Wu, Xiaopeng
    2014 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC) ASIA-PACIFIC 2014, 2014,
  • [5] Modeling and experimental validation of vehicle's electric powertrain
    Bianco, Ettore
    Rizzello, Alessandro
    Ferraris, Alessandro
    Carello, Massimiliana
    2022 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2022 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), 2022,
  • [6] Design and Experimental Validation of Power Electric Vehicle Emulator for Testing Electric Vehicle Supply Equipment (EVSE) with Vehicle-to-Grid (V2G) Capability
    Garcia-Martinez, Eduardo
    Munoz-Cruzado-Alba, Jesus
    Sanz-Osorio, Jose F.
    Perie, Juan Manuel
    APPLIED SCIENCES-BASEL, 2021, 11 (23):
  • [7] Experimental Validation of a Dynamic Energy Model of a Battery Electric Vehicle
    Damiano, Alfonso
    Musio, Claudia
    Marongiu, Ignazio
    2015 INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA), 2015, : 803 - 808
  • [8] Design and Modelling of the Powertrain of a Hybrid Fuel Cell Electric Vehicle
    Carello, Massimiliana
    De Carvalho Pinheiro, Henrique
    Longega, Leonardo
    Di Napoli, Luca
    SAE Technical Papers, 2021, (2021):
  • [9] Optimal Electric Vehicle Design Tool Using Genetic Algorithms
    Abdallah, Saber Hadj
    Tounsi, Souhir
    SAE INTERNATIONAL JOURNAL OF PASSENGER CARS-ELECTRONIC AND ELECTRICAL SYSTEMS, 2018, 11 (02): : 109 - 121
  • [10] Design and Implementation of an Effort Estimation Tool for Electric Vehicle Development
    Soltes, Martin
    Reif, Armin
    Koberstaedt, Sascha
    Lienkamp, Markus
    2018 IEEE 22ND INTERNATIONAL CONFERENCE ON INTELLIGENT ENGINEERING SYSTEMS (INES 2018), 2018, : 249 - 254