Apply Parameter Variation to Cells in Module

Set Percentage Deviation Parameter

The number of cell models in the battery and the model resolution define the size of the percentage deviation parameter. The model resolution defines how many cells an individual cell model represents.

For a Module, you can set ModelResolution to one of these values:

For batteries with a grouped or a lumped model resolution, you can specify the percentage deviation factor of the cell parameters as a numerical array. For each cell model, the cell percentage deviation contains one element. The elements are vertically concatenated.

Specify Percentage Deviation for Detailed Module

Simulate the behavior of a battery when the individual cells have a variation in the capacity. Manufacturing inaccuracies or different values of the SOH of the batteries can cause this variation. In this example, you use random values of a normal distribution with a standard deviation of three.

The detailed module comprises three parallel assemblies with 10 cells. A unique cell model represents every cell in the battery, for a total of 30 cell models. The percentage deviation parameter is a column vector with a length of 30. You can review the design of the battery in the Description tab of the Block Parameters window of the block.

open_system("DetailedModuleDischarge");
capacityPercentDeviation = [-3.27;0.1;1.66;3.3;4.63;0.26;-4.47; ...
    -2.23;-3.18;7.05;-1.85;2.24;-0.58;2.67;-2.29;-4.21;-4.27; ...
    1.46;-0.53;-0.59;4.26;0.87;0.59;4.76;-2.41;2.09;2.51;-0.73; ...
    0.65;-3.5];
set_param("DetailedModuleDischarge/Module1",AHCellPercentDeviation="capacityPercentDeviation");

Simulate the model. The simulation results of a controlled discharge of the battery show the different state-of-charge (SOC) behavior of the cells.

simout = sim("DetailedModuleDischarge");
timeSeries = simout.simlog.Module1.socCell.series;
plot(timeSeries.time,timeSeries.values);
xlabel("Time (s)");
ylabel("SOC");
title("SOC of Cells");

Specify Percentage Deviation for Grouped Module

Simulate the behavior of a battery when three cells inside a module have a reduced capacity of 90%, 85% and 80% due to aging mechanisms. The module again comprises three parallel assemblies with 10 cells each. The first three cells of the third parallel assembly are the aged cells with reduced capacity.

You must individually model the cells with varying capacity in the third parallel assembly. The cells in the first two parallel assemblies behave similarly. Therefore, apply a grouped model resolution to the module, where you lump together the first two parallel assemblies and specify a detailed model resolution for the third parallel assembly. You can review the grouping strategy in the Description tab in the Block Parameters window of the generated block.

A single cell model represents the first two parallel assemblies. Therefore, the first element of the vector of the cell capacity deviation applies to the cells of both parallel assemblies. Because the cells in these parallel assemblies are new, the percentage deviation factor is zero. The next three elements of the vector represent the aged cells in the third parallel assembly. The last seven elements of the vector represent the remaining unaged cells in the third parallel assembly.

open_system("GroupedModuleDischarge");
groupedCapacityDeviation = [0; -10; -15; -20; 0; 0; 0; 0; 0; 0; 0];
set_param("GroupedModuleDischarge/Module1",AHCellPercentDeviation="groupedCapacityDeviation");

Simulate the model. The SOC of the cells in a controlled discharge shows four different behaviors. The cell with the highest SOC during the discharge represents the unaged cells in the first parallel assemblies. The second, third, and fourth elements represent the aged cells with the 10%, 15%, and 20% reduction in SOC, respectively. The remaining elements overlap and represent the remaining cells in the third parallel assembly. The unaged cells in the third parallel assembly partially compensate for the aged cells and, after the discharge concludes, the SOC balances between the cells.

simout = sim("GroupedModuleDischarge");
simout.simlog.Module1.socCell.plot;
title("SOC of Cells");

Specify Percentage Deviation for Array Parameters

Simulate the behavior of a battery with an increased internal resistance ${\mathit{R}}_0$ due to calendar aging. A Battery (Table-Based) block models the cell, where the R0_vecCell parameter represents the SOC-dependent internal resistance as a vector. Because the deviation of ${\mathit{R}}_0$ differs at individual SOC values, you must define a unique percentage deviation factor for each element of the R0_vecCell vector. This case differs from the previous section, in which you specify a scalar deviation factor for all values of the underlying parameter.

This figure shows how to specify the individual percentage deviations for each element of a parameter. The underlying parameter is a two-elements row vector. The battery contains three individual cell models. To define an individual percentage deviation of each parameter element of each cell, the resulting percentage deviation array must have a size of 3-by-2. The row number of an element in the percentage deviation parameter defines which cell model it applies to. The column number defines which element of the parameter it applies to.

For example, this equation defines the first element of the Cell1Parameter parameter in the first cell model:

In this example, the underlying R0_vecCell has a size of 1-by-7 and the Module block contains 11 cell models. The resulting percentage deviation R0_vecCellPercentDeviation is an 11-by-7 matrix. Implement an internal resistance percentage deviation for the second, third, and fourth cell models, which already have a capacity percent deviation. In this case, to define an increase in the resistance, you specify the values of the second, third, and fourth rows of the internal resistance percentage deviation parameter as positive scalars.

open_system("GroupedModuleDischarge");
groupedResistanceDeviation = zeros(11,7);
groupedResistanceDeviation([2,3,4],:) = [79.428 52.854 31.122 16.566 60.198 26.298 65.408; ...
    119.142 46.684 79.28 24.848 90.298 39.446 98.112; ...
    158.856 62.244 105.706 33.13 120.396 52.594 130.816];
set_param("GroupedModuleDischarge/Module1",R0_vecCellPercentDeviation="groupedResistanceDeviation");

Simulate the model. The module discharges with a constant current and then rests for a period of time. Because of the increased internal resistance, the SOC of the second, third, and fourth cell models now decrease at a slower rate than the other cells. Cell models from 5 to 11 represent the unaged cells in the same parallel assembly, which compensate for the reduced discharge of the aged cells. The SOC falls at a significantly higher rate for these cell models. The first cell model represents the unaged cells in the first and second parallel assemblies. The SOC curve locates between those of the third inhomogeneous parallel assembly.

simout = sim("GroupedModuleDischarge");
simout.simlog.Module1.socCell.plot;
title("SOC of Cells");