State of charge, state of health, and state of function monitoring for EV BMS

Zong‐You Hou, Pang-Yen Lou, Chua‐Chin Wang

2017 · 33 citations · 1 references

Concepts

Abstract

The computation and monitoring of three key indices, namely, state of charge (SOC), state of health (SOH), and state of function (SOF) for EV (electrical vehicle) BMS (battery management system) are proposed in this work. Because most of SOC definitions are directly related to nominal capacity, the accuracy of residual capacity is doubtful. Therefore, the SOC is redefined by present maximum capacity to reduce the error of the SOC estimation. The measurement of the proposed SOC demonstrates that the maximum error is 0.334 %. Moreover, this paper also proposes SOF based on SOC and SOH to reveal the driving power of the system.

References

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