50 lines
1.7 KiB
Mathematica
50 lines
1.7 KiB
Mathematica
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function yy = func_LifeMdl_UpdateOutput(lifeMdl, xx)
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% Calculates capacity fade & resistance growth at a given state-of-life
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%
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% - Author: Kandler Smith, NREL, Copyright 2010
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% - Based on paper by EVS-24 paper by Smith,Markel,Pesaran, 2009
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% - Modified for new NCA model, KAS 6/2010
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% - Added FeP model based on A123 2.3Ah 26650 cell (KAS, 4/28/15)
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% - Adapted FeP model for Kokam 75Ah NMC cell (KAS,8/1/16)
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%
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% Inputs:
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% perfMdl - structure containing battery performance model parameters
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%
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% lifeMdl - structure containing battery life model parameters
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% * see func_LoadLifeParameters.m for definition of life-parameters
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%
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% xx - vector of life model states at present state-of-life
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%
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% Outputs:
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% yy - vector of life model capacity fade and resistance growth
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switch lifeMdl.model
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case 'NMC|Gr'
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q_LLI = 1 - xx(1) - xx(2);
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q_LLI_t = 1 - xx(1);
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q_LLI_EFC = 1 - xx(2);
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q_LAM = 1.01 - xx(3);
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q = min([q_LLI, q_LAM]);
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% Resistance
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r_LLI = 1 + xx(4) + xx(5);
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r_LLI_t = 1 + xx(4);
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r_LLI_EFC = 1 + xx(5);
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r_LAM = lifeMdl.r5 + lifeMdl.r6 * (1 / q_LAM);
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r = max([r_LLI, r_LAM]);
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% Assemble output
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yy = [q, q_LLI, q_LLI_t, q_LLI_EFC, q_LAM, r, r_LLI, r_LLI_t, r_LLI_EFC, r_LAM];
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case 'LFP|Gr'
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qLossCal = xx(1);
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% Scale cycling loss to assume cells aren't so long lived as the
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% Sony Murata cells are (10-15 thousand EFCs).
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scalingfactor = 4;
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qLossCyc = scalingfactor*xx(2);
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q = 1 - qLossCal - qLossCyc;
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rGainCal = xx(3);
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rGainCyc = scalingfactor*xx(4);
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r = 1 + rGainCal + rGainCyc;
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yy = [q qLossCal qLossCyc r rGainCal rGainCyc];
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end
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end
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