电池(电)
还原(数学)
极限(数学)
功率(物理)
荷电状态
弹道
电压
计算机科学
降级(电信)
控制理论(社会学)
电子工程
汽车工程
瞬态(计算机编程)
可靠性工程
热的
电流(流体)
稳态(化学)
鉴定(生物学)
国家(计算机科学)
工程类
脉冲功率
灵敏度(控制系统)
校准
温度测量
电源管理
等效电路
电气工程
交流电源
过电流
结温
电阻抗
脉冲宽度调制
钥匙(锁)
可靠性(半导体)
脉搏(音乐)
在线模型
加速老化
作者
Giovanni Lutzemberger,Massimo Ceraolo,Francesco Giuseppe Quilici,Claudio Scarpelli,Tommaso Pesso,Mario Ranieri
出处
期刊:Energies
[Multidisciplinary Digital Publishing Institute]
日期:2026-11-02
卷期号:19 (21): 5215-5215
摘要
Reliable power capability estimation is essential for battery management systems (BMSs), yet aging progressively alters the admissible charge and discharge limits of lithium-ion cells. This paper presents an aging-aware framework combining the experimental identification of a first-order one-RC electrical equivalent circuit model, coupled with a lumped thermal model, with automated virtual current-step tests. The procedure determines the maximum admissible current under voltage and temperature constraints and generates charge and discharge power-limit maps as functions of State of Charge, temperature, State of Life, and pulse duration. The methodology is applied to four cylindrical NMC 18650 cells aged under different cycling conditions and is validated at selected operating points using a separate cell, with a median current error of 2.8%. From 100% to 70% State of Life, the domain-averaged State-of-Power reduction for 30 s pulses is approximately 30% in discharge and 50% in charge, the 70% level being extrapolated for three cells. At equal aging levels (90% and 80%), differences associated with the aging trajectory are smaller over the mid-State-of-Charge region and larger near the operating boundaries. The framework is intended for the offline generation and updating of BMS power-limit tables, reducing the experimental effort required at each aging stage.
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