Fuel Cell with Battery Energy Storage System

Fuel Cell with Battery Energy Storage System

𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧

The Fuel Cell with Battery Energy Storage System is a MATLAB/Simulink model developed for a DC microgrid. It combines a fuel cell, battery storage, power converters and a DC load to achieve continuous and balanced power delivery.

Fuel cell with Battery storage system In MATLAB

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The fuel cell acts as the primary energy source, while the battery absorbs excess power or supplies additional power according to the operating condition. A regulated 48 V DC bus ensures that the connected load receives a stable voltage even when fuel-cell power changes.

This model helps students, researchers and engineers understand:

• Fuel-cell maximum power extraction

• Battery charging and discharging

• Bidirectional converter operation

• DC-bus voltage regulation

• Source and load power balancing

• System response under fuel-pressure variations

𝐒𝐲𝐬𝐭𝐞𝐦 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰

The simulated DC microgrid consists of the following main sections:

System Component	Function
Fuel-cell stack	Supplies electrical power to the DC microgrid
Boost converter	Increases the fuel-cell voltage to the required DC-bus level
P&O MPPT controller	Extracts maximum available power from the fuel cell
Battery storage	Stores surplus energy and supports the load during power shortages
Bidirectional converter	Controls battery charging and discharging
Voltage PI controller	Maintains the DC-bus voltage at 48 V
DC load	Receives regulated power from the fuel cell and battery
Measurement scopes	Display voltage, current, power and battery SoC

The fuel cell is connected to the DC bus through a boost converter. The battery is connected through a bidirectional DC–DC converter, allowing power flow in both charging and discharging directions.

𝐒𝐲𝐬𝐭𝐞𝐦 𝐏𝐚𝐫𝐚𝐦𝐞𝐭𝐞𝐫𝐬

Fuel-Cell Parameters

Parameter	Value
Nominal operating voltage	24 V
Power at nominal operating point	Approximately 1.26 kW
Voltage at maximum-power operation	20 V
Maximum fuel-cell power	2 kW
Initial fuel and air pressure	1 bar
Final fuel and air pressure	0.01 bar

Battery Parameters

Parameter	Value
Battery voltage	24 V
Rated capacity	100 Ah
Initial state of charge	65%
Maximum supported power	Approximately 2 kW
Converter type	Bidirectional DC–DC converter

DC-Bus and Load Parameters

Parameter	Value
DC-bus reference voltage	48 V
Load power	1.5 kW
Approximate load current	32.5 A
Pressure-change time	0.5 seconds
Total simulation time	1 second

𝐖𝐨𝐫𝐤𝐢𝐧𝐠 𝐏𝐫𝐨𝐜𝐞𝐬𝐬

The system operates according to the available fuel-cell power and the load demand.

1. Fuel-Cell Power Generation

• The fuel-cell stack produces DC power based on the supplied fuel and air pressure.

• Its voltage and current are continuously measured.

• The fuel cell initially operates near its maximum-power condition.

• The generated power is supplied to the DC bus through the boost converter.

2. Maximum Power Extraction

• The P&O MPPT controller receives the fuel-cell voltage and current.

• It observes changes in voltage and power.

• Based on these changes, the controller adjusts the converter duty cycle.

• A PWM generator converts the duty-cycle command into switching pulses.

• The pulses control the boost-converter IGBT.

This operation allows the fuel cell to deliver the maximum available power under changing input conditions.

3. Battery Energy Management

The battery automatically changes between two operating modes:

Power Condition	Battery Mode	Battery Current	Battery SoC
Fuel-cell power exceeds load demand	Charging	Negative	Increases
Fuel-cell power is lower than load demand	Discharging	Positive	Decreases

When the fuel cell produces surplus power, the additional energy charges the battery. When fuel-cell generation decreases, the battery supplies the missing power.

4. DC-Bus Voltage Regulation

• The measured load voltage is compared with the 48 V reference.

• The voltage error is processed by a PI controller.

• The PI controller generates the required duty-cycle command.

• The PWM generator produces switching signals for the bidirectional converter.

• The converter controls battery power to maintain the DC-bus voltage.

𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲

P&O MPPT Control

The P&O MPPT algorithm controls the fuel-cell boost converter.

Its main functions are:

• Measure fuel-cell voltage and current

• Track changes in fuel-cell output power

• Update the boost-converter duty cycle

• Extract the maximum available fuel-cell power

• Respond to fuel and air pressure variations

Battery Voltage Control

The bidirectional converter uses a closed-loop voltage-control method.

Its main functions are:

• Compare the DC-bus voltage with the 48 V reference

• Process voltage error using a PI controller

• Control battery charging and discharging

• Compensate for variations in fuel-cell generation

• Maintain continuous power delivery to the load

𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬

A step input is used to study the system under a major change in fuel and air pressure.

Time Interval	Fuel and Air Pressure	Operating Condition
0 to 0.5 seconds	1 bar	High fuel-cell generation
After 0.5 seconds	0.01 bar	Reduced fuel-cell generation

This test demonstrates how the battery responds when fuel-cell output falls below the load requirement.

𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐑𝐞𝐬𝐮𝐥𝐭𝐬

Initial Operating Period: 0 to 0.5 Seconds

During the initial period, the fuel and air pressure remain at 1 bar.

Measured Quantity	Approximate Result
Fuel-cell voltage	20 V
Fuel-cell current	100 A
Fuel-cell power	2 kW
Load voltage	48 V
Load power	1.5 kW
Load current	Approximately 32.5 A
Battery condition	Charging
Battery SoC	Increasing

The fuel cell produces approximately 2 kW, while the load requires only 1.5 kW. The remaining power is directed to the battery.

Negative battery current and power indicate charging operation.

Reduced-Pressure Period: After 0.5 Seconds

At 0.5 seconds, the fuel and air pressure decrease from 1 bar to 0.01 bar.

Measured Quantity	Approximate Result
Fuel-cell voltage	10 V
Fuel-cell current	Approximately 80 A
Fuel-cell power	Approximately 800–850 W
Load voltage	Maintained near 48 V
Load power	Maintained near 1.5 kW
Battery condition	Discharging
Battery SoC	Decreasing

The reduced pressure causes fuel-cell generation to fall below the load demand. The battery then supplies the additional power required by the load.

Positive battery current and power indicate discharging operation.

𝐏𝐨𝐰𝐞𝐫 𝐁𝐚𝐥𝐚𝐧𝐜𝐢𝐧𝐠

The model maintains power balance under both operating conditions.

During High Fuel-Cell Generation

• The fuel cell supplies the complete load demand.

• Excess fuel-cell power charges the battery.

• Battery SoC gradually increases.

• The DC-bus voltage remains regulated.

During Low Fuel-Cell Generation

• The fuel cell supplies part of the load demand.

• The battery provides the remaining power.

• Battery SoC gradually decreases.

• The DC load continues receiving regulated power.

This coordinated operation prevents interruption of the load supply when fuel-cell generation changes.

𝐌𝐞𝐚𝐬𝐮𝐫𝐞𝐝 𝐎𝐮𝐭𝐩𝐮𝐭𝐬

The Simulink model includes separate scopes for observing the important electrical quantities.

Fuel-Cell Scope

• Fuel-cell voltage

• Fuel-cell current

• Fuel-cell power

Battery Scope

• Battery voltage

• Battery current

• Battery power

• Battery state of charge

Load Scope

• Load voltage

• Load current

• Load power

These waveforms provide a clear understanding of transient response, charging and discharging transitions, and DC-bus regulation.

𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬

• MATLAB/Simulink implementation of a fuel-cell DC microgrid

• 2 kW fuel-cell system

• P&O-based maximum power point tracking

• Boost-converter control using PWM switching

• 24 V, 100 Ah battery storage

• Bidirectional battery charging and discharging

• PI-controlled 48 V DC bus

• Automatic source-load power balancing

• Fuel and air pressure variation analysis

• Separate fuel-cell, battery and load measurements

• Battery SoC monitoring

• Stable load operation during reduced fuel-cell output

𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

This model can support the study of:

• Fuel-cell-based DC microgrids

• Hybrid energy storage systems

• Renewable and clean-energy integration

• Standalone DC power supplies

• Backup-power systems

• Battery energy-management strategies

• DC-bus voltage control

• Power-electronic converter control

• Fuel-cell electric power systems

• Laboratory and academic simulation studies

𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐎𝐮𝐭𝐜𝐨𝐦𝐞𝐬

By studying this simulation, users can understand:

• How a fuel cell is connected to a DC bus

• How P&O MPPT controls a fuel-cell boost converter

• How a bidirectional converter manages battery power

• How battery current indicates charging or discharging

• How SoC changes during different power-flow conditions

• How a PI controller maintains the DC-bus voltage

• How fuel-pressure reduction affects fuel-cell output

• How the battery maintains continuous load supply

𝐂𝐨𝐧𝐜𝐥𝐮𝐬𝐢𝐨𝐧

The Fuel Cell with Battery Energy Storage System demonstrates reliable power management in a DC microgrid. The fuel cell serves as the main source, while the battery balances the difference between fuel-cell generation and load demand.

Under high-pressure conditions, the fuel cell supplies the load and charges the battery using its surplus power. When the fuel and air pressure decrease, fuel-cell power falls and the battery switches to discharging mode. The bidirectional converter and PI voltage controller maintain the DC bus close to 48 V, allowing the 1.5 kW load to operate continuously.

This MATLAB/Simulink model provides a clear platform for learning fuel-cell MPPT, battery energy management, converter control and DC-microgrid power balancing.