A Generic Battery Model and Its Parameter Identification

Abstract

A new dynamic model is developed in this paper based on the generic MATLAB battery model. The battery capacity is expressed as a function of the self-discharge rate, the discharge current, the cycling life and the temperature of the battery. The dependence of the model parameters on cycle life and temperature are estimated from the first order approximation. The detailed procedures and formula to extract the model parameters are presented and the extraction relies only on the discharge curves at two different discharge currents, at two different life cycles, and at two different temperatures. These discharge curves are typically provided in the battery manufacturer's datasheet. The proposed model is verified for both nickel-metal hydride and lithium-ion batteries by comparing the calculated discharge curves with the results from the generic MATLAB model. The model is further validated for the Sinopoly lithium-ion battery (SP-LFP1000AHA) by comparing the model results with the discharge curves from the manufacturer's datasheet at different discharge currents, different cycling numbers, and different temperatures. Simulation results show that the new model can correctly predict voltage separation beyond the nominal zone while maintaining the same level of accuracy as the generic MATLAB model in the exponential and nominal zones.

Model Baterije Sa Temperaturnim Efektom I Efektom Starenja

“…Konstante degradacije utiču na parametre jednačine (1.8) i zbog toga se parametri računaju na sledeći način: Ovde su takođe iskorišćene modifikovane jednačine sa konstantama degradacije za realizaciju efekta starenja. U sledećim jednačinama možemo uvideti kako životni ciklus baterije utiče na sve parametre: E0(n) = E0 * (1 + k vn1 * (n -1)) (1.14) K(n) = K * ( 1 + k kn1 * (n -1)) (1.15) Q(n) = Q * ( 1+k qn1 *(n -h1) + k qn2 * (n -1)) (1.16) A(n) = A * ( 1+k an1 * (n -1)) (1.17) k xn1 je konstanta degradacije prvog reda, a k xn2 je konstanta degradacije drugog reda gde je x parametar koji zavisi od životnog ciklusa baterije [4]. Zaključno sa temperaturnim efektom i efektom starenja jednačina izlaznog napona modela baterije glasi: Obe baterije rade na sličnom principu, sa istim vrednostima parametara, a na osnovu grafika se vidi da se u istom vremenskom trenutku one isprazne.…”

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

“…where E a , i L (t), η sdisch represent the available battery energy, the load current and the "battery energy efficiency" respectively [26]. The input-output battery model Equation ( 1) is a simplified version of the original Shepherd's combined model that follows the development from [25] and [27][28][29] replacing:…”

“…A collection of such of driving cycles profiles is stored in a large database of the US National Renewable Energy Laboratory (NREL) Advanced Simulator (ADVISOR) integrated into a MATLAB simulation environment [10]. The ADVISOR simulator is recommended by the excellent results obtained in [10] and by the fact that so far it has been one of the most used software design tools in the HEV/EV automotive industry, as mentioned in [11,[29][30][31][32]. More details about this integrated ADVISOR MATLAB platform can be found in [10].…”

“…For estimating SOC, several methods for estimating adaptive filtering are developed in the field literature, among which the Kalman filters are the most used. More details about battery modelling, linear and nonlinear Kalman filter estimators, especially for state and parameter estimation, can be found in [4,[7][8][9][10][11][12]14,15,[26][27][28][29][30][31][32][33][34][35][36][37]. For performance comparison purposes, in this actual study, we develop two well-suited real-time SOC estimators, namely an Adaptive Extended Kalman Filter (AEKF) with the process and measurement noises correction, and a linear observer estimator (LOE) with a constant Luenberger gain.…”

Analysis of modified plug-in electric vehicle charger controller with grid support functionalities

“…The complicated chemical reaction and transport equations restricts the use of Multi-physics Electrochemical models for grid applications though they are well developed. In [ 36 ], the generic MATLAB battery models are analyzed in detail and a modified dynamic model is proposed. Due to simplicity and relatively high accuracy, the generic models are widely employed in various applications.…”