Abstract
transport sector, there will be greater reliance put
upon battery packs; therefore, battery pack
modelling becomes crucial during the design of the vehicle.
Accurate battery pack modelling allows for: the simulation
of the pack and vehicle, more informed decisions made
during the design process, reduced testing costs, and implementation
of superior control systems. To create the battery
cell model using MATLAB/Simulink, an electrical equivalent
circuit model was selected due to its balance between
accuracy and complexity. The model can predict the state of
charge and terminal voltage from a current input. A battery
string model was then developed that considered the cell-tocell
variability due to manufacturing defects. Finally, a full
battery pack model was created, capable of modelling the
different currents that each string experiences due to the
varied internal resistance. The model was then validated with
real-life data from the “Hill Route” section of the First Group
Millbrook Fuel Economy Test Version 5.0 drive cycle of a
mild hybrid electric bus. Results showed a strong correlation
with the measured data and both the state of charge and
terminal voltage simulations of the model. For the string
model, results showed that there was a slight variance in the
state of charge between cells in a string with varied capacities.
However, terminal voltages between cells did not vary significantly
with variances in internal resistance. Future work
includes the creation of a thermal sub-model and an ageing
sub-model, which considers whether the location of a cell
within a pack has a correlation with its degradation. These
sub-models will then be integrated and used as a full battery
pack model.
| Original language | English |
|---|---|
| Number of pages | 10 |
| DOIs | |
| Publication status | Published - 02 Apr 2019 |
| Event | WCX SAE World Congress Experience - Cobo Center, Detroit, United States Duration: 09 Apr 2019 → 11 Apr 2019 |
Conference
| Conference | WCX SAE World Congress Experience |
|---|---|
| Country | United States |
| City | Detroit |
| Period | 09/04/2019 → 11/04/2019 |
Fingerprint
Keywords
- Battery Pack
- Battery Modelling
- Electric vehicles (EVs)
- Hybrid Electric Vehicles
Cite this
}
Full Battery Pack Modelling: An Electrical Sub-Model Using an EECM for HEV Applications. / Rolt, Ryan; Douglas, Roy; Nockemann, Peter; Best, Robert.
2019. Paper presented at WCX SAE World Congress Experience, Detroit, United States.Research output: Contribution to conference › Paper
TY - CONF
T1 - Full Battery Pack Modelling: An Electrical Sub-Model Using an EECM for HEV Applications
AU - Rolt, Ryan
AU - Douglas, Roy
AU - Nockemann, Peter
AU - Best, Robert
PY - 2019/4/2
Y1 - 2019/4/2
N2 - With a transition towards electric vehicles for thetransport sector, there will be greater reliance putupon battery packs; therefore, battery packmodelling becomes crucial during the design of the vehicle.Accurate battery pack modelling allows for: the simulationof the pack and vehicle, more informed decisions madeduring the design process, reduced testing costs, and implementationof superior control systems. To create the batterycell model using MATLAB/Simulink, an electrical equivalentcircuit model was selected due to its balance betweenaccuracy and complexity. The model can predict the state ofcharge and terminal voltage from a current input. A batterystring model was then developed that considered the cell-tocellvariability due to manufacturing defects. Finally, a fullbattery pack model was created, capable of modelling thedifferent currents that each string experiences due to thevaried internal resistance. The model was then validated withreal-life data from the “Hill Route” section of the First GroupMillbrook Fuel Economy Test Version 5.0 drive cycle of amild hybrid electric bus. Results showed a strong correlationwith the measured data and both the state of charge andterminal voltage simulations of the model. For the stringmodel, results showed that there was a slight variance in thestate of charge between cells in a string with varied capacities.However, terminal voltages between cells did not vary significantlywith variances in internal resistance. Future workincludes the creation of a thermal sub-model and an ageingsub-model, which considers whether the location of a cellwithin a pack has a correlation with its degradation. Thesesub-models will then be integrated and used as a full batterypack model.
AB - With a transition towards electric vehicles for thetransport sector, there will be greater reliance putupon battery packs; therefore, battery packmodelling becomes crucial during the design of the vehicle.Accurate battery pack modelling allows for: the simulationof the pack and vehicle, more informed decisions madeduring the design process, reduced testing costs, and implementationof superior control systems. To create the batterycell model using MATLAB/Simulink, an electrical equivalentcircuit model was selected due to its balance betweenaccuracy and complexity. The model can predict the state ofcharge and terminal voltage from a current input. A batterystring model was then developed that considered the cell-tocellvariability due to manufacturing defects. Finally, a fullbattery pack model was created, capable of modelling thedifferent currents that each string experiences due to thevaried internal resistance. The model was then validated withreal-life data from the “Hill Route” section of the First GroupMillbrook Fuel Economy Test Version 5.0 drive cycle of amild hybrid electric bus. Results showed a strong correlationwith the measured data and both the state of charge andterminal voltage simulations of the model. For the stringmodel, results showed that there was a slight variance in thestate of charge between cells in a string with varied capacities.However, terminal voltages between cells did not vary significantlywith variances in internal resistance. Future workincludes the creation of a thermal sub-model and an ageingsub-model, which considers whether the location of a cellwithin a pack has a correlation with its degradation. Thesesub-models will then be integrated and used as a full batterypack model.
KW - Battery Pack
KW - Battery Modelling
KW - Electric vehicles (EVs)
KW - Hybrid Electric Vehicles
U2 - 10.4271/2019-01-1203
DO - 10.4271/2019-01-1203
M3 - Paper
ER -