Power Capability Prediction of Lithium-Ion Batteries Using Physics-Based Model and NMPC
Paper i proceeding, 2022

A model-based battery power capability prediction method is reported to prevent the battery from moving into harmful situations during its operation for its health and safety. The method incorporates a high-fidelity electrochemical-thermal battery model, with which not only the external limitations on current, voltage, and power, but also the internal constraints such as lithium plating and thermal runaway, can be readily taken into account. The online prediction of maximum power is accomplished by formulating and successively solving a constrained nonlinear optimization problem. Due to the relatively high system order, high model nonlinearity, and long prediction horizon, an accurate and computationally efficient scheme based on nonlinear model predictive control is designed.

model predictive control

power capability

lithium-ion batteries

Författare

Yang Li

Chalmers, Elektroteknik, System- och reglerteknik

Zhongbao Wei

Beijing Institute of Technology

Mahinda Vilathgamuwa

Queensland University of Technology (QUT)

1st IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2022


9798350398069 (ISBN)

1st IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2022
Kharagpur, India,

Ämneskategorier

Energiteknik

Sannolikhetsteori och statistik

Reglerteknik

DOI

10.1109/ONCON56984.2022.10126930

Mer information

Senast uppdaterat

2023-10-26