State of Charge Estimation of Battery Energy Storage Systems in Low Voltage Electric Drive Applications for Hybrid and Electric Vehicles

被引:0
|
作者
Vasta, Ester [1 ]
Lucifora, Alberto [1 ]
Tornello, Luigi Danilo [1 ]
Foti, Salvatore [2 ]
Cacciato, Mario [1 ]
Pernaci, Christian [3 ]
De Caro, Salvatore [2 ]
Scelba, Giacomo [1 ]
机构
[1] Univ Catania, DIEEI, Catania, Italy
[2] Univ Messina, DI, Messina, Italy
[3] Audi AG, Chassis Elect Syst, Ingostaldt, Germany
关键词
State of Charge Estimation; Battery Energy Storage Systems; Electric Vehicles; PMSM Motor Drives; Electric Traction; EQUIVALENT-CIRCUIT; MODELS;
D O I
10.1109/ECCE50734.2022.9947619
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This work presents a straightforward solution to estimate the state of charge (SOC) of battery-packs used to supply low voltage electric drives integrated in hybrid and electric vehicles. The main idea is exploiting the electric drive to generate suitable DC bus current profiles to estimate the storage unit (SU) parameters, and thus the SOC, whenever the electric drive is not used as propulsion unit. In particular, the drive is exploited as controlled variable load to generate current steps and monitor the transient response of the SU through the measure of the DC bus voltage and motor phase currents. No additional external circuits are required, and a limited computational burden is required. Simulations and experimental tests confirm the feasibility of the proposed method.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Energy Storage Capability of Battery Electric Vehicles
    Schlegel, Steffen
    Westermann, Dirk
    [J]. 2013 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PES), 2013,
  • [22] Equivalent state of charge estimation method of hybrid energy storage system for electric vehicles based on multiple operating modes
    Wang, Chun
    Li, Qiang
    Tang, Aihua
    Yu, Quanqing
    [J]. JOURNAL OF ENERGY STORAGE, 2024, 100
  • [23] Battery energy storage in electric vehicles by 2030
    Boretti, Alberto
    [J]. ENERGY STORAGE, 2023, 5 (05)
  • [24] Energy management system of the hybrid ultracapacitor-battery electric drive vehicles
    Pielecha, Ireneusz
    [J]. Pielecha, Ireneusz (ireneusz.pielecha@put.poznan.pl), 1600, Warsaw University of Technology (58): : 47 - 62
  • [25] Applications of battery/supercapacitor hybrid energy storage systems for electric vehicles using perturbation observer based robust control
    Yang, Bo
    Wang, Jingbo
    Zhang, Xiaoshun
    Wang, Junting
    Shu, Hongchun
    Li, Shengnan
    He, Tingyi
    Lan, Chaofan
    Yu, Tao
    [J]. JOURNAL OF POWER SOURCES, 2020, 448
  • [26] ANALYSIS OF HYBRID ENERGY STORAGE SYSTEMS BASED ON PHOTOVOLTAIC PANEL, SUPERCAPACITORS AND BATTERY FOR ELECTRIC VEHICLES
    Rusu, Florin Andrei
    Livint, Gheorghe
    Baciu, Alina
    [J]. ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL, 2020, 19 (01): : 121 - 129
  • [27] Charge analysis for Li-ion battery pack state of health estimation for electric and hybrid vehicles
    Mawonou, Kodjo Senou Rodolphe
    Eddahech, Akram
    Dumur, Didier
    Godoy, Emmanuel
    Beauvois, Dominique
    [J]. 45TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2019), 2019, : 5915 - 5920
  • [28] Research on the voltage of Hybrid Energy Storage System in Charging Electric Vehicles
    Li, Kai
    Chen, Xiang-Qun
    Li, Jing-Bo
    Zeng, He-Qing
    Yang, Lei
    [J]. PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MATERIAL ENGINEERING AND APPLICATION (ICMEA 2016), 2016, 103 : 27 - 31
  • [29] IoT and artificial intelligence enabled state of charge estimation for battery management system in hybrid electric vehicles
    Kiran, Siripuri
    Polala, Niranjan
    Phridviraj, M. S. B.
    Venkatramulu, S.
    Srinivas, Chintakindi
    Rao, V. Chandra Shekhar
    [J]. INTERNATIONAL JOURNAL OF HEAVY VEHICLE SYSTEMS, 2022, 29 (05) : 463 - 479
  • [30] Regularized MPC for Power Management of Hybrid Energy Storage Systems with Applications in Electric Vehicles
    Amy, Theo
    Kong, He
    Auger, Daniel
    Offer, Gregory
    Longo, Stefano
    [J]. IFAC PAPERSONLINE, 2016, 49 (11): : 265 - 270