SOE Estimator (Energy Counting)

State of energy estimator with energy counting

Since R2023b

• 

Libraries:
Simscape / Battery / BMS / Estimators

Description

The SOE Estimator (Energy Counting) block implements an estimator that calculates the state of energy (SOE) of a battery by using the energy counting method.

The SOE is the ratio of the remaining energy E_remain to the total energy E_total:

$$SOE=\frac{E_{\text{remain}}}{E_{\text{total}}}.$$

This block supports single-precision and double-precision floating-point simulation.

Note

To enable single-precision floating-point simulation, the data type of all inputs and parameters, except for the Sample time (-1 for inherited) parameter, must be single.

You can switch between continuous and discrete implementations of the block by using the Sample time (-1 for inherited) parameter. To configure the block for continuous time, set the Sample time (-1 for inherited) parameter to 0. To configure the block for discrete time, set the Sample time (-1 for inherited) parameter to a positive, nonzero value, or to -1 to inherit the sample time from an upstream block.

Note

Continuous-time implementation of this block works only in a double-precision floating-point simulation. If you provide single-precision floating-point parameters and inputs, this block casts them to double-precision floating-point values to prevent errors.

This diagram shows the structure of the block:

Equations

To compute the SOE of the battery, the SOE Estimator (Energy Counting) block uses this equation:

$$SOE=SOE\left(t_0\right)+\frac{1}{E_{\text{nom}}}{\displaystyle \underset{0}{\overset{t}{\int }}{V}_{\text{t}}(t)i(t)dt}$$

where V_t is the terminal voltage, i is the current, and E_nom is the battery nominal energy capacity in watt-hour.

Ports

Input

Current — Battery current, ampere

scalar | vector

Battery current, in ampere, specified as a scalar for a single cell or a vector for multiple cells. To specify this input as a vector of cell currents, select the Specify Current input as cell current(s) parameter.

Voltage — Battery voltage, volt

scalar | vector

Battery voltage, in volt, specified as a scalar for a single cell or a vector for multiple cells.

InitialSOE — Initial state of energy, unitless

scalar | vector

Initial state of energy, specified as a scalar or vector of entries in the range [0, 1]. The size of this input port must be equal to the size of the Current input port.

Output

SOE — Battery state of energy

scalar | vector

State of energy of the battery, returned as a scalar or a vector. The size of this output port is equal to the size of the Current and InitialSOE input ports.

Parameters

Specify Current input as cell current(s) — Option to specify current input port as vector

off (default) | on

Option to specify the value of the Current input port as a vector of cell currents. If you select this parameter, the value at the Current input port can be a scalar or a vector of size equal to the size of the block inputs.

Nominal cell energy capacity, Enom, (W*Hr) — Nominal energy capacity of cell

113.1300 (default) | positive scalar

Nominal energy capacity of the battery cell, in watt-hour.

Sample time (-1 for inherited) — Block sample time

1 (default) | 0 | -1 | integer

Time between consecutive block executions. During execution, the block produces outputs and, if appropriate, updates its internal state. For more information, see What Is Sample Time? and Specify Sample Time.

For inherited discrete-time operation, specify this parameter as -1. For discrete-time operation, specify this parameter as a positive integer. For continuous-time operation, specify this parameter as 0.

If this block is in a masked subsystem or a variant subsystem that supports switching between continuous operation and discrete operation, promote the sample time parameter. Promoting the sample time parameter ensures correct switching between the continuous and discrete implementations of the block. For more information, see Promote Block Parameters on a Mask.

References

[1] Yujie Wang, Chenbin Zhang, Zonghai Chen. Model-based State-of-energy Estimation of Lithium-ion Batteries in Electric Vehicles. Energy Procedia, Volume 88, 2016, Pages 998-1004.

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.

Version History

Introduced in R2023b