Balancing-Aware Charging Strategy For Series-Connected Lithium-Ion\n Cells: A Nonlinear Model Predictive Control Approach

2019/02/06 by Andrea Pozzi, Massimo Zambelli, Pozzi, Andrea +5 · 1 citation
Engineering · #Advanced Battery Technologies Research #Advancements in Battery Materials #FOS: Electrical engineering #Multilevel Inverters and Converters #Systems and Control (eess.SY) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.1902.02122

openalex publication_date 2019/02/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Charge unbalance is one of the key issues for series-connected Lithium-ion\ncells. Within this context, model-based optimization strategies have proven to\nbe the most effective. In the present paper, an ad-hoc electrochemical model,\ntailored to control purposes, is firstly presented. Relying on this latter, a\ngeneral nonlinear MPC for balancing-aware optimal charging is then proposed. In\nview of the possibility of a practical implementation, the concepts are\nsubsequently specialized for an easily implementable power supply scheme.\nFinally, the nonlinear MPC approach is validated on commercial cells using a\ndetailed battery simulator, with sound evidence of its effectiveness.\n

Cited by

• Approximate Model Predictive Control for Microgrid Energy Management via Imitation Learning

Related

• Optimal Charging of an Electric Vehicle Battery Pack: A Real-Time Sensitivity-Based MPC approach
• Extending life of Lithium-ion battery systems by embracing heterogeneities via an optimal control-based active balancing strategy
• Leveraging Adaptive Model Predictive Controller for Active Cell Balancing in Li-ion Battery
• Flying Capacitor Cell Equalization for Li-ion Automotive Battery Stacks
• Active Cell Balancing for Extended Operational Time of Lithium-Ion Battery Systems in Energy Storage Applications