Journal: Energies

Article Title: Real Time Design and Implementation of State of Charge Estimators for a Rechargeable Lithium-Ion Cobalt Battery with Applicability in HEVs/EVs—A Comparative Study

doi: 10.3390/en13112749

Figure Lengend Snippet: Figure 4. The Simscape model of the generic 5.4 Ah and 7.4 V Li-ion Co battery (without temperature and aging effects.

Article Snippet: In this research paper, among the most relevant contributions the following may be highlighted: • Model selection—MATLAB Simscape Li-ion cobalt nonlinear model, simple, practical, accurate, easy to implement in real-time (Section 2.6.1) • Model development in continuous time state-space representation (Section 2.6.2) • Model development in discrete time state-space representation (Section 2.6.3) • Model validation based on three different driving cycles tests, using ADVISOR 3.2 software tool (Section 2.6.4) • Model implementation in MATLAB R 2019b Simulink environment (Simulink diagram from Figures 8 and 9, Section 2.6.4) • Thermal model design and Simulink implementation (Simulink diagram from Figure 12 Section 2.7) • Adaptive Extended Kalman Filter SOC estimator with fading feature—Design and MATLAB implementation, Section 3.1) • Linear observer SOC estimator-Design and Simulink implementation (Simulink model diagram from Figure 16, Section 3.2) • MATLAB SOC simulations (Section 3.3) • Performance analysis (SOC accuracy and robustness)—Tables 3, A1 and A2 for statistical errors The case study is a 5.4 Ah Li-ion Cobalt battery, of high simplicity and accuracy, easy to be implemented in real-time and to provide beneficial support to build two real-time AEKF and LOE SOC estimators.

Techniques: Battery