function lifeMdl = func_LifeMdl_LoadParameters(battery_chemistry) switch battery_chemistry case 'NMC|Gr' lifeMdl.model = 'NMC|Gr'; % battery life model parameters lifeMdl.ref = 'NREL/K. Smith et al. American Control Conference, 2017'; lifeMdl.description = 'Model fit to 13 aging conditions for Kokam 75Ah cell. Data collected by NREL'; lifeMdl.chemistry = 'Graphite negative electrode, Ni-Mn-Co (NMC) positive electrode'; lifeMdl.names_states = {... 'dq_LLI_t: Delta relative capacity-Li loss due to SEI growth, time dependent';... 'dq_LLI_EFC: Delta relative capacity-Li loss due to SEI growth, charge-throughput dependent';... 'dq_LAM: Delta relative capacity-Electrode damage and lithium plating, charge-throughput dependent';... 'dr_LLI_t: Delta relative resistance-SEI growth, time dependent';... 'dr_LLI_EFC: Delta relative resistance-SEI growth, charge-throughput dependent';... 'dr_LAM: Delta relative resistance-Electrode damage and lithium plating, charge-throughput dependent'}; lifeMdl.names_outputs= {... 'q: relative discharge capacity at C/5 rate (5 hour discharge)';... 'qLoss_LLI: relative capacity loss due to SEI growth';... 'qLoss_LLI_t: relative capacity loss due to SEI growth, time dependent';... 'qLoss_LLI_t_LLI_EFC: relative capacity loss due to SEI growth, charge-throughput dependent';... 'qLoss_LLI_t_LAM: relative capacity loss due to electrode damage and lithium plating, charge-throughput dependent';... 'r: relative DC pulse resistance';... 'rGain_LLI: relative resistance gain due to SEI growth';... 'rGain_LLI_t: relative resistance gain due to SEI growth, time dependent';... 'rGain_LLI_EFC: relative resistance gain due to SEI growth, charge-throughput dependent';... 'rGain_LAM: relative resistance gain due to electrode damage and lithium plating, charge-throughput dependent'}; lifeMdl.n_states = 6; % number of states in model that are integrated with time or cycles lifeMdl.n_outputs= 10; % number of outputs in model % Model parameters lifeMdl.q1_0 = 2.66e7; lifeMdl.q1_1 = -17.8; lifeMdl.q1_2 = -5.21; lifeMdl.q2 = 0.357; lifeMdl.q3_0 = 3.80e3; lifeMdl.q3_1 = -18.4; lifeMdl.q3_2 = 1.04; lifeMdl.q4 = 0.778; lifeMdl.q5_0 = 1e4; lifeMdl.q5_1 = 153; lifeMdl.p_LAM = 10; lifeMdl.r1 = 0.0570; lifeMdl.r2 = 1.25; lifeMdl.r3 = 4.87; lifeMdl.r4 = 0.712; lifeMdl.r5 = -0.08; lifeMdl.r6 = 1.09; case 'LFP|Gr' % Life model information lifeMdl.model = 'LFP|Gr'; lifeMdl.names_states = {... 'dqCal: time dependent capacity loss',... 'dqCyc: energy-throughput dependent capacity loss',... 'drCal: time dependent resistance growth',... 'drCyc: energy-throughput dependent resistance growth'}; lifeMdl.names_outputs= {... 'q: Relative capacity',... 'qLossCal: Time dependent capacity loss',... 'qLossCyc: Energy-throughput dependent capacity loss',... 'r: Relative resistance',... 'rGainCal: Time dependent resistance growth',... 'rGainCyc: Energy-throughput dependent resistance growth',... }; lifeMdl.n_states = 4; % number of states in model that are integrated with time or cycles lifeMdl.n_outputs= 6; % number of outputs in model % Instantiate parameter table pVars = {'p1','p2','p3','pcal','p4','p5','p6','pcyc'}; p = [798.352102069967,-3781.20591728016,-2.04881543271387,0.494361078068684,0.000170691091574341,0.000476715369722458,0.00217277383391531,0.439274000189976]; p = array2table(p, 'VariableNames', pVars); lifeMdl.p = p; % pvars_rdc = {'r1','r2','r3','rcal','r4','r5','r6','rcyc'}; p_rdc = [537306.726059759,-6747.41305124106,-1.66987638954611,0.994115565719101,4.64136140815756e-08,-5.79557082332511e-11,7.28339782547118e-06,0.931662358013465]; p_rdc = array2table(p_rdc, 'VariableNames', pVars); lifeMdl.p_rdc = p_rdc; end end