Electrochemical estimation and control for lithium-ion battery health-aware fast charging
Artikel i vetenskaplig tidskrift, 2018
Fast charging strategies have gained an increasing interest towards the convenience of battery applications but may unduly degrade or damage the batteries. To harness these competing objectives including safety, lifetime, and charging time, this paper proposes a health- aware fast charging strategy synthesised from electrochemical system modelling and advanced control theory. The battery charging problem is formulated in a linear- time-varying model predictive control algorithm. In this algorithm, a control-oriented electrochemical-thermal model is developed to predict the system dynamics. Constraints are explicitly imposed on physically meaningful state variables to protect the battery from hazardous operations. A moving horizon estimation algorithm is employed to monitor battery internal state information. Illustrative results demonstrate that the proposed charging strategy is able to largely reduce the charging time from its benchmarks while ensuring the satisfaction of health-related constraints.
model predictive control (MPC)
moving horizon estimation (MHE)
24 lithium-ion (Li-ion) battery