skip to main content

DOE PAGESDOE PAGES

Title: Improved battery parameter estimation method considering operating scenarios for HEV/EV applications

This study presents an improved battery parameter estimation method based on typical operating scenarios in hybrid electric vehicles and pure electric vehicles. Compared with the conventional estimation methods, the proposed method takes both the constant-current charging and the dynamic driving scenarios into account, and two separate sets of model parameters are estimated through different parts of the pulse-rest test. The model parameters for the constant-charging scenario are estimated from the data in the pulse-charging periods, while the model parameters for the dynamic driving scenario are estimated from the data in the rest periods, and the length of the fitted dataset is determined by the spectrum analysis of the load current. In addition, the unsaturated phenomenon caused by the long-term resistor-capacitor (RC) network is analyzed, and the initial voltage expressions of the RC networks in the fitting functions are improved to ensure a higher model fidelity. Simulation and experiment results validated the feasibility of the developed estimation method.
Authors:
 [1] ;  [2] ;  [3] ;  [4] ; ORCiD logo [5]
  1. Nanjing Univ. of Aeronautics and Astronautics, Nanjing (China); San Diego State Univ., San Diego, CA (United States)
  2. San Diego State Univ., San Diego, CA (United States); Univ. of California, San Diego, CA (United States)
  3. San Diego State Univ., San Diego, CA (United States); Shandong Univ., Jinan (China)
  4. Nanjing Univ. of Aeronautics and Astronautics, Nanjing (China)
  5. San Diego State Univ., San Diego, CA (United States)
Publication Date:
Grant/Contract Number:
EE0005565
Type:
Accepted Manuscript
Journal Name:
Energies (Basel)
Additional Journal Information:
Journal Name: Energies (Basel); Journal Volume: 10; Journal Issue: 1; Journal ID: ISSN 1996-1073
Publisher:
MDPI AG
Research Org:
Univ. of Michigan, Ann Arbor, MI (United States)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Country of Publication:
United States
Language:
English
Subject:
25 ENERGY STORAGE; lithium-ion battery; operating scenario; equivalent circuit modeling; parameter estimation
OSTI Identifier:
1347527