Battery knowledge · State estimation

Cell-to-cell variation

The spread in capacity, resistance and self-discharge between nominally identical cells, from manufacturing and from unequal temperatures in service. It is why packs need balancing and why grading matches cells before assembly.

Example

The limiting cell matters

Average: 3.93 V. Highest cell: 4.02 V. The highest cell can reach the charge limit first.

The 4.2 V ceiling is an example, not universal. Voltage alone does not uniquely determine SOC.

Explore the graph

A pack average can hide a cell that reaches its voltage limit first.

Four cells before balancing
Four cells before balancingCell number versus Cell voltage (V). Individual voltages; Average; Example ceiling. Interpretation follows the graphs.3.713.851.7542.54.153.254.34Cell numberCell voltage (V)
Individual voltagesAverage (dashed)Example ceiling

Average: 3.93 V. Highest cell: 4.02 V. The highest cell can reach the charge limit first.

V_max = max(V₁, V₂, …); V_average = ΣV_i / N

Illustrative model. The 4.2 V ceiling is an example, not universal. Voltage alone does not uniquely determine SOC.

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.