Battery knowledge · State estimation

Observability and controllability

Two control-theory properties of a model: whether its internal states can be inferred from its measured outputs, and whether its inputs can steer those states. SOC is poorly observable on LFP’s flat OCV plateau, where voltage barely changes with charge, and the individual SOCs of series cells cannot be steered by pack current alone, which is why balancing exists.

Also called
observability

Example

State estimation: an example situation

Current-sensor bias accumulates in coulomb counting. Exact model SOC does not establish real estimator accuracy.

Read Observability and controllability alongside Cell balancing in this context. Equalising the state of charge of cells in series, since the pack is limited by its emptiest cell on discharge and its fullest on charge. Passive balancing bleeds charge from high cells through resistors; active balancing moves it between cells.

Use in Lemonergy

Distinguish internal states from noisy measurement estimates.

This is a reference concept. No executable Lemonergy block has been verified for this term.

References & further reading

Further reading on this topic

These sources provide broader context; they are not presented as citations for every statement in this entry.

  1. Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation

    Gregory L. Plett · Journal of Power Sources · 2004

    Topic background · Model-based battery state-of-charge and parameter estimation with extended Kalman filtering, including uncertainty and model dependence.

  2. Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2. Modeling and identification

    Gregory L. Plett · Journal of Power Sources · 2004

    Topic background · Battery charge balance, open-circuit voltage, ohmic loss, polarization dynamics and model identification; parameters require cell-specific data.