ANALYSIS OF REGENERATIVE BRAKING EFFICIENCY IN AN ELECTRIC VEHICLE THROUGH EXPERIMENTAL TESTS

被引:0
作者
Valladolid, Juan [1 ,2 ]
Calle, Mauricio [1 ]
Guiracocha, Angel [1 ]
机构
[1] Univ Politecn Salesiana, Grp Invest Ingn Transporte GIIT, Carrera Ingn Mecan Automotriz, Cuenca, Ecuador
[2] Pontificia Univ Javeriana, Grp Invest Control Elect Potencia & Gest Innovac T, Dept Ingn Elect, Bogota, Colombia
来源
INGENIUS-REVISTA DE CIENCIA Y TECNOLOGIA | 2023年 / 29期
关键词
Brake pedal; electric vehicle; energy re-covery; regenerative braking;
D O I
10.17163/ings.n29.2023.02
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents a regenerative braking analysis of efficiency in real driving conditions and different road geographies. Factors affecting or benefiting en-ergy recovery were identified, these are: the weight of the vehicle, torque, speed, inclination of road, and braking time; however, the sport and Eco driving modes were not considered because the same driv-ing pace was chosen for the different routes. These results are intended to collaborate with real energy regeneration data and help investigators, academics, and automotive engineering, improving this system's efficiency. In the driving process, the state of charge (SOC), speed, torques, and road geography effect the efficiency of regenerative braking, as driving a vehicle on a road with irregular geography exposes it to ag-gressive physical factors, which considerably reduces its energy autonomy. The main aspects of recovery and regenerative braking efficiency were determined through quantitative data analysis, resulting in ex-perimental surfaces and curves, which present the performance of current and deceleration during vehi-cle braking. Thus, it is shown that the energy recovery during braking is 78% considering the low autonomy of the electric vehicle.
引用
收藏
页码:24 / 30
页数:7
相关论文
共 14 条
  • [1] Effect of road gradient on regenerative braking energy in a pure electric vehicle
    Bian, Jindong
    Qiu, Bin
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2018, 232 (13) : 1736 - 1746
  • [2] EmoLab, 2022, GRUP INV ING TRANSP
  • [3] Gupta M., 2020, 2020 INT C EM TECHN, P1, DOI DOI 10.1109/INCET49848.2020.9154047
  • [4] Heydari S, 2018, IEEE TRANSP ELECT C, P494, DOI 10.1109/ITEC.2018.8450260
  • [5] Electrical Vehicles: Current State of the Art, Future Challenges, and Perspectives
    Skouras, Theodoros A.
    Gkonis, Panagiotis K.
    Ilias, Charalampos N.
    Trakadas, Panagiotis T.
    Tsampasis, Eleftherios G.
    Zahariadis, Theodore V.
    [J]. CLEAN TECHNOLOGIES, 2020, 2 (01): : 1 - 16
  • [6] Spichartz P, 2020, 2020 FIFTEENTH INTERNATIONAL CONFERENCE ON ECOLOGICAL VEHICLES AND RENEWABLE ENERGIES (EVER), DOI 10.1109/ever48776.2020.9242939
  • [7] Totev V., 2020, 2020 21 INT S EL APP, P1, DOI [10.1109/SIELA49118.2020.9167153, DOI 10.1109/SIELA49118.2020.9167153]
  • [8] Duong TT, 2018, PROCEEDINGS OF 2018 4TH INTERNATIONAL CONFERENCE ON GREEN TECHNOLOGY AND SUSTAINABLE DEVELOPMENT (GTSD), P48, DOI 10.1109/GTSD.2018.8595456
  • [9] A Novel Energy-Efficiency Optimization Approach Based on Driving Patterns Styles and Experimental Tests for Electric Vehicles
    Valladolid, Juan Diego
    Patino, Diego
    Gruosso, Giambattista
    Adrian Correa-Florez, Carlos
    Vuelvas, Jose
    Espinoza, Fabricio
    [J]. ELECTRONICS, 2021, 10 (10)
  • [10] Wang YL, 2015, PROCEEDINGS OF 2015 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2015), P689, DOI 10.1109/ICCSNT.2015.7490838