LMI-Based Robust Observer Design for Battery State-of-Charge Estimation-Reference-Cited by-同舟云学术

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LMI-Based Robust Observer Design for Battery State-of-Charge Estimation

Published:2018-12 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE Conference on Decision and Control (CDC)
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Author:

Dreef H.J.,Beelen H.P.G.J.,Donkers M.C.F.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8592870/8618647/08619763.pdf?arnumber=8619763

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. State Estimation for Enhanced Low Dimensional Electrochemical Models of Lithium-Ion Batteries;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

2. Multiple Active Material Lithium-Ion Batteries: Finite-Dimensional Modeling and Constrained State Estimation;IEEE Transactions on Control Systems Technology;2023-05

3. Joint Estimation of Battery Parameters and State of Charge Using an Extended Kalman Filter: A Single-Parameter Tuning Approach;IEEE Transactions on Control Systems Technology;2021-05

4. Hysteresis Compensation and Nonlinear Observer Design for State-of-Charge Estimation Using a Nonlinear Double-Capacitor Li-Ion Battery Model;IEEE/ASME Transactions on Mechatronics;2021

5. Light-weighted Battery State of Charge Estimation based on the Sigma-delta Technique;IFAC-PapersOnLine;2020

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