Project : Thermal modeling of battery pack

Aim: To model and simulate 10 cells in a series lithium-ion battery pack, analyze the thermal effects and compare its life cycle performance at various temperatures, charge & discharge rates using MATLAB.

ABSTRACT: In this project, we are going to calculate the thermal efferct of 10 series battery connected to each other. We ae going to de change the verious parameters like Temperature, charge and Discharge rates, etc. and get the life cycle of battery. In this model we used verious simulink blocks which are explained in report. Output for verious changed parameters also given in this report.

Theory

Lithium-ion battery

A lithium-ion battery or Li-ion battery is a type of rechargeable battery. Lithium-ion batteries are commonly used for portable electronics and electric vehicles and are growing in popularity for military and aerospace applications.

In the batteries, lithium ions move from the negative electrode through an electrolyte to the positive electrode during discharge, and back when charging. Li-ion batteries use an intercalated lithium compound as the material at the positive electrode and typically graphite at the negative electrode. The batteries have a high energy density, no memory effect (other than LFP cells), and low self-discharge. They can however be a safety hazard since they contain flammable electrolytes, and if damaged or incorrectly charged can lead to explosions and fires. Samsung was forced to recall Galaxy Note 7 handsets following lithium-ion fires, and there have been several incidents involving batteries on Boeing 787s.

Chemistry, performance, cost and safety characteristics vary across types of lithium-ion batteries. Handheld electronics mostly use lithium-polymer batteries (with a polymer gel as electrolyte), a lithium cobalt oxide (LiCoO₂) cathode material, and a graphite anode, which together offer a high energy density. Lithium iron phosphate (LiFePO₄), lithium manganese oxide (LiMn₂O₄ spinel, or Li₂MnO₃-based lithium-rich layered materials (LMR-NMC)), and lithium nickel manganese cobalt oxide (LiNiMnCoO₂ or NMC) may offer longer lives and may have better rate capability. Such batteries are widely used for electric tools, medical equipment, and other roles. NMC and its derivatives are widely used in electric vehicles.

Research areas for lithium-ion batteries include extending lifetime, increasing energy density, improving safety, reducing cost, and increasing charging speed,^[18] among others. Research has been underway in the area of non-flammable electrolytes as a pathway to increased safety based on the flammability and volatility of the organic solvents used in the typical electrolyte. Strategies include aqueous lithium-ion batteries, ceramic solid electrolytes, polymer electrolytes, ionic liquids, and heavily fluorinated systems.

Advantages

• Very low profile - batteries resembling the profile of a credit card are feasible.
• Flexible form factor - manufacturers are not bound by standard cell formats. With high volume, any reasonable size can be produced economically.
• Lightweight-gelled electrolytes enable simplified packaging by eliminating the metal shell.
• Improved safety - more resistant to overcharge; less chance for electrolyte leakage.

Limitations

• Lower energy density and decreased cycle count compared to lithium-ion.
• Expensive to manufacture.
• No standard sizes. Most cells are produced for high-volume consumer markets.
• Higher cost-to-energy ratio than lithium-ion

Procedure:

The following figure shows the Simulink model of a 10 cell series lithium-ion battery using an AC Current source providing cyclic charge/discharge profile

The three subsystems used in this model for the respective cells pack are as below

They are all named 'T' and the output of all the subsystems are given to the Goto tags which will show the temperature curves using a Scope.

Model parameters:

a. From Workspace:

b. AC Current Source:

For Cells 1-4:

For Cell 5:

To provide fault in this cell, all the electrical parameters are multiplied by some values

For Cells 6-10:

d. Conductive Heat Transfer (For all cells):

e. Convective Heat Transfer:

For Cells 1-4:

For Cell 5:

For Cells 6-10:

f. Temperature Source:

g. Defined Workspace Parameters:

For the Temperature time cycle, refer to the following excel sheet

Temperature time data

h. Gain value:

Results:

After running the simulation for 7200 secs, we get the following results

1. Ambient Temperature:

2. Cells Temperature:

3. SOC:

Conclusion:

1. The Ambient temperature provided by the Temperature source is `293.15^0k`

2. The Cell pack 1-4 reaches the maximum temperature of 360^0K, Cell pack 5 which is the faulty cell reaches the maximum temperature of `337^0K`, and the Cell pack 6-10 reaches the maximum temperature of `325^0K`.

3. The SOC of the model starts from 0 and goes up to 0.95 in 300 secs and again discharges to 0 in 300 secs and the cycle keeps on repeating.

4. The Life cycle of the battery pack is 6 cycles per hour.

The following figure shows the Simulink model of a 10 cell series lithium-ion battery using a Signal Builder which has a signal input using a UDDS drive cycle of the Current profile

The additional fundamental blocks used in this circuit are

1. Signal builder: The Signal Builder block allows you to create interchangeable groups of piecewise linear signal sources and use them in a model.

Here, we are using a signal builder block to create the drive cycle data of the UDDS cycle. The limitation of the signal builder is that it accepts data in the form of only the current profile. So, the speed v/s time data from the drive cycle should be converted to its corresponding current profile with respect to time.

The link for the excel sheet of the UDDS drive cycle data with the current profile is as given below

UDDS drive cycle Current profile data

2. Controlled Current Source: This block represents an ideal current source that is powerful enough to maintain the specified current through it regardless of the voltage across it. The output current is I = Is, where Is is the numerical value presented at the physical signal port.

Model parameters:

a. Signal Builder (UDDS drive cycle data with Current profile):

b. Gain value:

Rest all the parameters remain the same as the above model using a Cyclic AC current source.

Results:

After running the simulation for 1400 secs, we get the following results

1. Ambient Temperature:

2. Cells Temperature:

3. SOC:

Conclusion:

1. The Ambient temperature provided by the Temperature source is `293^0K`

2. The Cell pack 1-4 reaches the maximum temperature of `293^0K`, Cell pack 5 which is the faulty cell reaches the maximum temperature of `293.214^0K`, and the Cell pack 6-10 reaches the maximum temperature of `293.184^0K`.

3. The SOC of the model starts from 0 and goes up to 0.9 in 1400 secs.