mtnlion.deprecated_domain module

Domain creation/manipulation.

class mtnlion.deprecated_domain.ReferenceCell(mesh: numpy.ndarray, time_mesh: numpy.ndarray, boundaries: Union[numpy.ndarray, List[float]], **kwargs)

Bases: mtnlion.deprecated_engine.Mountain

Reference lithium-ion cell geometry, where the dimensions are normalized.

The x dimension is defined such that the negative electrode exists between [0, 1], the separator exists between [1, 2], and the positive electrode exists between [2, 3]. For convenience the subdomains are added onto engine.Mountain.

get_solution_in(subspace: str) → Union[None, mtnlion.deprecated_engine.Mountain]

Return the solution for only the given subspace.

Returns

reduced solution set to only contain the given space

mtnlion.deprecated_domain.subdomain(comparison: numpy.ndarray) → slice

Find the indices of the requested subdomain, correcting for internal boundaries.

I.e. if the mesh is defined by numpy.arange(0, 3, 0.1) and you wish to find the subdomain 0 <= x <= 1 then you would call:

subdomain(mesh, x < 1)

Subdomain returns x <= 1, the reason for the exclusive less-than is to work around having repeated internal domain problems. I.e. if x <= 1 had been used on a mesh with repeated boundaries at 1, then the subdomain would exist over both boundaries at 1.

Parameters

comparison – list of boolean values

Returns

indices of subdomain

mtnlion.deprecated_domain.subdomains(mesh: numpy.ndarray, regions: List[Tuple[float, float]])

Find indices of given subdomains.

For example separating a domain from [0, 3] into [0, 1], [1, 2], and [2, 3] would be:

subdomains(np.arange(0, 3, 0.1), [(0, 1), (1, 2), (2, 3)])

Parameters

• mesh – one-dimensional list of domain values

• regions – two dimensional list containing multiple ranges for subdomains

Returns

tuple of each subdomain indices