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  1. Home/
  2. Hemlata Pardhi/
  3. Week 9 Challenge

Week 9 Challenge

 Aim: Study of Energy Management Strategy using Battery, Ultracapacitor and Fuel Cell    Objective:  The output of the model should be the power request from  1. UC  2. Fuel Cell   3. Battery    Introduction:  Fuel cell vehicles have been considered as the next generation…

  • MATLAB

  • Hemlata Pardhi

    updated on 15 Oct 2022

 Aim: Study of Energy Management Strategy using Battery, Ultracapacitor and Fuel Cell

 

 Objective:

 The output of the model should be the power request from

 1. UC

 2. Fuel Cell 

 3. Battery

 

 Introduction:

 Fuel cell vehicles have been considered as the next generation of automobiles since they could be the

 solution for a clean, safe and high efficiency transportation. However, their commercialization and

 mass production are restrained by the durability and the short lifetime of fuel cells compared to

 internal combustion engine vehicles. The hybridization with a high power density sources such as ultra-

 capacitors or batteries relieves the fuel cell from sudden power demands and therefore increase its

 lifetime.

 

 In the past few decades, fossil fuels have been widely used as the power source of ordinary internal

 combustion engine, which has caused lots of negative effects, such as the gradual depletion of oil

 resources, the deepening of the global energy crisis, the aggravation of air pollution, and the rise of
 
 global temperature. Therefore, a series of new energy vehicles emerge at a historic moment. Many
 
 studies have been done on fuel cell vehicles for their convenient, efficient, and clean energy utilization.
 
 A fuel cell is the main power source, and the battery or ultra-capacitor is the auxiliary power source
 
 to provide power for the fuel cell hybrid vehicle (FCHV) when FCHV is in operation. This hybrid
 
 power distribution method has been widely used in FCHV. Therefore, the hybrid power distribution
 
 mode of FCHV has been the focus of a lot of research, in which the energy management strategy
 
 of controlling the fuel cell system and energy storage system are the key topics.
 
 
 
 
 Depending on how the necessary power is obtained, a minimization of the hydrogen consumption
 
 can be achieved: the Energy Management Strategies (EMSs) are algorithms which determine
 
  at each sampling time the power generation split between the fuel cell system (FCS) and the energy
 
 storage system (ESS) in order to fulfil the power balance between the load power and the power source.
 
 
 
 Simulink Model:
 
 
 
                                                Figure 1
 
 
 EMS:-
 
 
                                            Figure 2
 
 Subsystem:-
 
 
 
                                                      Figure 3 
 
 
 Positive_Power EMS :-
 
 
 
 
                             
                                                               Figure 4
 
 Fuel Cell Backup model:-
 
                                   Figure 5 
 
 
 Blocks used in this Simulation:
 
 1. Signal Builder block 
 
 2. Constant Block
 
 3. Subsystem
 
 4. Goto 
 
 5. From
 
 6. Switch
 
 7. Add
 
 8. Inport
 
 9. Outport
 
 10. Interval Test 
 
 11. AND Gate
 
 12. Scope block
 
 
 1. Switch Block
 
 When a case is true, MATLAB executes the corresponding statements and then exits the switch
 
 block. The otherwise block is optional and executes only when no case is true.
 
 
 
 
 
 
 2. Interval Test
 
 
 
 

 If the input is in the interval between the lower limit and the upper limit, then the output is TRUE,

 otherwise it is FALSE.

 

 3. Goto

 The Goto block passes its input to its corresponding From blocks. The input can be a real- or

 complex-valued signal or vector of any data type.

 

 4. From

 The From File block reads data into a Simulink ® model from a MAT file and provides the data

 as a signal or nonvirtual bus at the block output. We can load data from a MAT file that is on or off

 the MATLAB ® path. A model can contain multiple From File blocks that load data from the same

 MAT file.

 

 5. Scope

 Results are observed with the help of this block. 

 

 6. AND logical operator

 

 

 The simulation time is set to a 598 sec.
 
 Case 1:
 
 When, SOC_UC = 0.35
 
     Battery_SOC = 0.35
 
 Simulink Model will be,
 
 
 
 
 
From Scope result it can be conclude that Fuel cell power is zero as UC is above or equal to 35%
 
during this Ultracapacitor is able to provide require amount of power.
 
 
 Case 2:
 
 When SOC is less than 35%
 
 
 
 
 During this case we can see that UC are not able to provide power. This time Power demand can be
 
 fulfiiled by Fuel Cell.
 
 
 Case 3:
 
 
 
 If Both the Battery_SOC and SOC_UC is less than 35% the output is as shown below.
 
 
 
 
 
 Case 4:
 
 When Battery_SOC is less than 35% and SOC_UC is equal to or greater than 35%.
 
 Then simulink model will be,
 
 
 
 
 
 From this result it can be seen that during this condition Battery not able to provide power during
 
 this.
 
 From the above all cases we have noticed that Fuel cell acts as a backup when ultracapacitor is fails
 
 to provide power then that power can be provide by fuel cell. criterion must be such that to provide
 
 power by  battery or UC, SOC must be greater than or equal to 35% then only they can fulfill power
 
 requirement.
 
 
 Link:
 
 https://drive.google.com/file/d/1vHlSODt13Jkopfy7lHmcGdg9jNbYurCE/view?usp=sharing
 
 
 Kindly open attached Simulink file with the help of MATLAB/Simulink.
 
 
 Conclusion:
 
 Completion of the energy management strategy model with battery, UC and fuel cell for the positive
 
 power is achieved. With the help of different cases actual behaviour of UC, Battery and Fuel cell is 
 
 observed.
 
 
 
 

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    Week 9 Challenge

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     Aim: Study of Energy Management Strategy using Battery, Ultracapacitor and Fuel Cell    Objective:  The output of the model should be the power request from  1. UC  2. Fuel Cell   3. Battery    Introduction:  Fuel cell vehicles have been considered as the next generation…

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