A Novel Multi-model Probability Based Battery State-of-charge Fusion Estimation Approach
نویسندگان
چکیده
منابع مشابه
Improved Realtime State-of-Charge Estimation of LiFePO 4 Battery Based on a Novel Thermoelectric Model
Li-ion batteries have been widely used in electric vehicles, and battery internal state estimation plays an important role in the battery management system. However, it is technically challenging, in particular, for the estimation of the battery internal temperature and state-ofcharge (SOC), which are two key state variables affecting the battery performance. In this paper, a novel method is pr...
متن کاملLithium-Ion Battery State of Charge Estimation Using One State Hysteresis Model with Nonlinear Estimation Strategies
Battery state of charge (SOC) estimation is an important parameter as it measures the total amount of electrical energy stored at a current time. The SOC percentage acts as a fuel gauge if it is compared with a conventional vehicle. Estimating the SOC is, therefore, essential for monitoring the amount of useful life remaining in the battery system. This paper looks at the implementation of thre...
متن کاملA Novel State of Charge Estimation Algorithm for Lithium-Ion Battery Packs of Electric Vehicles
This paper focuses on state of charge (SOC) estimation for the battery packs of electric vehicles (EVs). By modeling a battery based on the equivalent circuit model (ECM), the adaptive extended Kalman filter (AEKF) method can be applied to estimate the battery cell SOC. By adaptively setting different weighed coefficients, a battery pack SOC estimation algorithm is established based on the sing...
متن کاملState of Charge Estimation Using the Extended Kalman Filter for Battery Management Systems Based on the ARX Battery Model
State of charge (SOC) is a critical factor to guarantee that a battery system is operating in a safe and reliable manner. Many uncertainties and noises, such as fluctuating current, sensor measurement accuracy and bias, temperature effects, calibration errors or even sensor failure, etc. pose a challenge to the accurate estimation of SOC in real applications. This paper adds two contributions t...
متن کاملBattery management system algorithms for HEV battery state-of-charge and state-of- health estimation
The battery management system (BMS) of a hybrid-electric-vehicle (HEV) battery pack comprises hardware and software to monitor pack status and optimize performance. One of its important functions is to execute algorithms that continuously estimate battery state-of-charge (SOC), state-of-health (SOH), and available power. The accuracy of these algorithms is critical for the proper sizing of the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Energy Procedia
سال: 2016
ISSN: 1876-6102
DOI: 10.1016/j.egypro.2016.06.061