Optimise a loop with interpolation

3 次查看(过去 30 天)
Hello dear forum:
I am working on an battary optimization problem. As part of the problem, an electrical resistance should be dependent on T, C-Rate and SOC. I have a lot of sample values in between which it should be interpolated. Because the optimization problem is designed as a shortest path model, it iterates around 200 million times. My current approach is shown below and is currently very slow due to the interpolation. I used the griddata-command for interpolation.
Is there a faster way? My ideas:
  • Interpolate a lot of values in the first rotation and then only select the closest one etc.
  • Turn the sample values into a function. (I have heard about this but didnt find it).
I am glad for any suggestions!
Thank you and merry easter.
Here my current function:
function R = calculateResistance_neu_neu(R0,I,SOC,T,Q)
T = T;
C_Rate = I/Q;
SOC = SOC;
matrix = [5, 0.5, 0.1, 2.25, 135;
.....
45, 3, 0.8, 1, 60;
45, 3, 0.9, 1, 60];
Multiplikator = griddata(matrix(:,1),matrix(:,2),matrix(:,3),matrix(:,4),T,C_Rate,SOC);
R = R0*Multiplikator;
  4 个评论
Matt J
Matt J 2023-4-9
Your mfile contains no function called calculateResistance_neu_neu()
Fabian Haslwanter
编辑:Fabian Haslwanter 2023-4-9
Line 47
I just tried running it and it works for me. Here again with the function. Hope thats what you mean :)
EDIT: Sorry i should have mentioned i have the function in a different file...

请先登录,再进行评论。

采纳的回答

Vanshika Vaishnav
Vanshika Vaishnav 2023-4-12
Setting the matrix as persistent will resolve the issue, however most of the time will be consumed by the interpolation.

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Get Started with Optimization Toolbox 的更多信息

产品


版本

R2021b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by