An Improved ECM-Based State-of-Charge Estimation for SLA and LFP Batteries Used in Low-Cost Agricultural Mobile Robots

Batteries are crucial in transitioning from fossil fuels to clean-powered mobility, for several applications such as Electric Vehicles and Agricultural Mobile Robots (AMRs). However, the adoption of AMRs is limited by several challenges related to battery management, including restricted operation t...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:IEEE Access
المؤلفون الرئيسيون: German Monsalve, Diego Acevedo-Bueno, Alben Cardenas, Wilmar Martinez
التنسيق: مقال
اللغة:الإنجليزية
منشور في: IEEE 2024-01-01
الموضوعات:
Agricultural robot
state of charge
battery
Kalman filter
parameter estimation
الوصول للمادة أونلاين:https://ieeexplore.ieee.org/document/10705297/

الانترنت

https://ieeexplore.ieee.org/document/10705297/

مواد مشابهة