๐๐๐ญ๐ญ๐๐ซ๐ฒ ๐๐ฎ๐ฉ๐๐ซ๐๐๐ฉ๐๐๐ข๐ญ๐จ๐ซ ๐๐ง๐๐ซ๐ ๐ฒ ๐๐๐ง๐๐ ๐๐ฆ๐๐ง๐ญ ๐๐ฒ๐ฌ๐ญ๐๐ฆ ๐๐จ๐ซ ๐๐ฅ๐๐๐ญ๐ซ๐ข๐ ๐๐๐ก๐ข๐๐ฅ๐ ๐ข๐ง ๐๐๐๐๐๐
- lms editor
- 15 minutes ago
- 4 min read
๐๐๐ญ๐ญ๐๐ซ๐ฒ ๐๐ฎ๐ฉ๐๐ซ๐๐๐ฉ๐๐๐ข๐ญ๐จ๐ซ ๐๐ง๐๐ซ๐ ๐ฒ ๐๐๐ง๐๐ ๐๐ฆ๐๐ง๐ญ ๐๐ฒ๐ฌ๐ญ๐๐ฆ ๐๐จ๐ซ ๐๐ฅ๐๐๐ญ๐ซ๐ข๐ ๐๐๐ก๐ข๐๐ฅ๐ ๐ข๐ง ๐๐๐๐๐๐
Electric vehicles require an efficient energy management system to handle different driving conditions such as ๐๐๐๐๐ฅ๐๐ซ๐๐ญ๐ข๐จ๐ง, ๐๐๐๐๐ฅ๐๐ซ๐๐ญ๐ข๐จ๐ง, and changing load demand.
This MATLAB simulation explains how a ๐๐๐ญ๐ญ๐๐ซ๐ฒ ๐๐ฎ๐ฉ๐๐ซ๐๐๐ฉ๐๐๐ข๐ญ๐จ๐ซ ๐๐ง๐๐ซ๐ ๐ฒ ๐๐๐ง๐๐ ๐๐ฆ๐๐ง๐ญ ๐๐ฒ๐ฌ๐ญ๐๐ฆ ๐๐จ๐ซ ๐๐ฅ๐๐๐ญ๐ซ๐ข๐ ๐๐๐ก๐ข๐๐ฅ๐ work together to supply power to an electric vehicle. The battery provides the major energy demand, while the supercapacitor supports fast transient power during sudden speed changes.
The model is useful for understanding ๐๐ ๐ฉ๐จ๐ฐ๐๐ซ ๐ฌ๐ก๐๐ซ๐ข๐ง๐ , ๐๐ข๐๐ข๐ซ๐๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐๐จ๐ง๐ฏ๐๐ซ๐ญ๐๐ซ ๐๐จ๐ง๐ญ๐ซ๐จ๐ฅ, ๐ซ๐๐ ๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐จ๐ฉ๐๐ซ๐๐ญ๐ข๐จ๐ง, and battery SOC behavior.

๐๐ฒ๐ฌ๐ญ๐๐ฆ ๐๐ฏ๐๐ซ๐ฏ๐ข๐๐ฐ
The simulation model includes a drive cycle, electric vehicle dynamics, battery, supercapacitor, and bidirectional DC-DC converter.
The selected drive cycle provides vehicle speed in kilometer per hour. This speed is converted and processed through the EV dynamic model to calculate the required EV power demand.
The battery and supercapacitor are connected through a ๐๐ข๐๐ข๐ซ๐๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐๐-๐๐ ๐๐จ๐ง๐ฏ๐๐ซ๐ญ๐๐ซ. The battery is connected to the high-voltage side, while the supercapacitor is connected to the low-voltage side.
๐. ๐๐จ. | ๐๐๐ซ๐๐ฆ๐๐ญ๐๐ซ | ๐๐๐ฅ๐ฎ๐ / ๐๐๐ญ๐๐ข๐ฅ |
01 | EV Energy Sources | Battery and Supercapacitor |
02 | Selected Drive Cycle | FTP 755 |
03 | Available Drive Cycle | Wide Open Throttle |
04 | Battery Voltage | 345 V |
05 | Battery Capacity | 246 Ah |
06 | Initial Battery SOC | 90% |
07 | Supercapacitor Rated Voltage | 240 V |
08 | Supercapacitor Initial Voltage | 260 V |
09 | Supercapacitor Capacitance | 15 F |
10 | Equivalent Resistance | 150 mฮฉ |
11 | Series Capacitors | 108 |
12 | Operating Temperature | 25ยฐC |
13 | Converter Type | Bidirectional DC-DC Converter |
๐๐จ๐ซ๐ค๐ข๐ง๐ ๐๐ซ๐จ๐๐๐ฌ๐ฌ
The working process starts from the drive cycle. The selected FTP 755 drive cycle generates the velocity reference for the electric vehicle.
The EV dynamic model converts the velocity demand into power demand. Then, the demand current is calculated using the EV power demand and battery voltage.
The main working flow is:
Drive cycle generates EV speed input
EV dynamics calculate required power demand
Power demand is converted into demand current
Battery supplies the major EV demand
Supercapacitor supports transient demand
Bidirectional converter controls supercapacitor current
During acceleration, supercapacitor supplies extra power
During deceleration, supercapacitor absorbs regenerative power
Battery SOC, voltage, current, and power are observed
Supercapacitor voltage, current, and power response are analyzed
๐๐จ๐ง๐ญ๐ซ๐จ๐ฅ ๐๐ญ๐ซ๐๐ญ๐๐ ๐ฒ
The energy management strategy is mainly focused on proper power sharing between the battery and supercapacitor.
The battery handles the average EV power demand. The supercapacitor is used for ๐ก๐ข๐ ๐ก-๐๐ซ๐๐ช๐ฎ๐๐ง๐๐ฒ ๐ญ๐ซ๐๐ง๐ฌ๐ข๐๐ง๐ญ ๐ฉ๐จ๐ฐ๐๐ซ during sudden acceleration and deceleration.
A ๐ฅ๐จ๐ฐ ๐ฉ๐๐ฌ๐ฌ ๐๐ข๐ฅ๐ญ๐๐ซ is used to separate the transient power component. This transient power is assigned to the supercapacitor.
The PI controller processes the current error and generates the duty cycle for the bidirectional converter. The pulse generator then produces switching pulses for converter operation.
๐๐จ๐ง๐ญ๐ซ๐จ๐ฅ ๐๐๐ซ๐ญ | ๐ ๐ฎ๐ง๐๐ญ๐ข๐จ๐ง |
Low Pass Filter | Separates transient power demand |
PI Controller | Generates duty cycle |
Pulse Generator | Produces converter switching pulses |
Bidirectional Converter | Controls supercapacitor charging and discharging |
Supercapacitor | Supports acceleration and absorbs regenerative power |
๐๐ข๐ฆ๐ฎ๐ฅ๐๐ญ๐ข๐จ๐ง ๐๐๐ฌ๐ฎ๐ฅ๐ญ๐ฌ
The simulation results show effective power sharing between the battery and supercapacitor.
The battery supplies most of the EV load demand. The supercapacitor assists only during fast transient conditions such as sudden acceleration and deceleration.
During acceleration, the supercapacitor current becomes positive and supplies additional power to support the EV. During deceleration, the current becomes negative, indicating regenerative charging of the supercapacitor.
The observed results include:
EV load power
Battery power
Supercapacitor power
Battery voltage
Battery current
Battery SOC
Supercapacitor voltage
Supercapacitor current
Velocity response from drive cycle
Acceleration and deceleration power sharing
๐๐ฉ๐๐ซ๐๐ญ๐ข๐ง๐ ๐๐จ๐ง๐๐ข๐ญ๐ข๐จ๐ง | ๐๐๐ญ๐ญ๐๐ซ๐ฒ ๐๐จ๐ฅ๐ | ๐๐ฎ๐ฉ๐๐ซ๐๐๐ฉ๐๐๐ข๐ญ๐จ๐ซ ๐๐จ๐ฅ๐ |
Normal Driving | Supplies major EV demand | Near zero or low contribution |
Acceleration | Supplies main power | Supports transient power |
Deceleration | Voltage may increase slightly | Absorbs regenerative power |
High Transient Demand | Shares demand with supercapacitor | Provides fast response |
Regenerative Condition | Receives indirect effect through DC link | Charges for short duration |
๐๐๐ฒ ๐ ๐๐๐ญ๐ฎ๐ซ๐๐ฌ
MATLAB-based EV energy management simulation
Battery and supercapacitor hybrid energy storage
FTP 755 drive cycle based analysis
EV dynamics based power demand calculation
Demand current generation from EV power and battery voltage
Bidirectional DC-DC converter based power flow control
PI controller based duty cycle generation
Low pass filter based transient power separation
Supercapacitor assistance during acceleration
Regenerative energy absorption during deceleration
Battery voltage, current, and SOC analysis
Supercapacitor voltage and current response observation
๐๐ฉ๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ
This simulation is suitable for learning and analyzing:
Electric vehicle energy management
Hybrid energy storage systems
Battery-supercapacitor power sharing
Bidirectional DC-DC converter operation
EV drive cycle based power demand analysis
Regenerative braking energy behavior
Battery SOC and current response study
Supercapacitor transient power support
MATLAB-based EV simulation study
Control strategy development for EV energy systems
๐๐ก๐ฒ ๐๐๐ญ๐ญ๐๐ซ๐ฒ ๐๐ง๐ ๐๐ฎ๐ฉ๐๐ซ๐๐๐ฉ๐๐๐ข๐ญ๐จ๐ซ ๐๐ซ๐ ๐๐ฌ๐๐ ๐๐จ๐ ๐๐ญ๐ก๐๐ซ?
The battery has high energy capacity and can supply the EV demand for a longer time. However, sudden acceleration and deceleration create fast-changing power requirements.
The supercapacitor provides fast power response during these transient conditions. This helps reduce sudden stress on the battery and improves the overall response of the EV energy system.
In this model:
Battery handles the main power demand
Supercapacitor handles sudden power variations
Regenerative energy is absorbed during deceleration
Power sharing improves EV energy management performance
๐๐จ๐ง๐๐ฅ๐ฎ๐ฌ๐ข๐จ๐ง
The ๐๐๐ญ๐ญ๐๐ซ๐ฒโ๐๐ฎ๐ฉ๐๐ซ๐๐๐ฉ๐๐๐ข๐ญ๐จ๐ซ ๐๐ง๐๐ซ๐ ๐ฒ ๐๐๐ง๐๐ ๐๐ฆ๐๐ง๐ญ ๐๐ฒ๐ฌ๐ญ๐๐ฆ ๐๐จ๐ซ ๐๐ฅ๐๐๐ญ๐ซ๐ข๐ ๐๐๐ก๐ข๐๐ฅ๐ ๐ข๐ง ๐๐๐๐๐๐ provides a clear simulation platform for studying EV power sharing.
The battery supplies the major EV load demand, while the supercapacitor supports acceleration and absorbs regenerative power during deceleration. The bidirectional DC-DC converter and PI controller help manage the supercapacitor current effectively.
This model is useful for students, researchers, and engineers who want to understand ๐๐ ๐๐ง๐๐ซ๐ ๐ฒ ๐ฆ๐๐ง๐๐ ๐๐ฆ๐๐ง๐ญ, ๐ก๐ฒ๐๐ซ๐ข๐ ๐๐ง๐๐ซ๐ ๐ฒ ๐ฌ๐ญ๐จ๐ซ๐๐ ๐, and ๐ฌ๐ฎ๐ฉ๐๐ซ๐๐๐ฉ๐๐๐ข๐ญ๐จ๐ซ-๐๐๐ฌ๐๐ ๐ญ๐ซ๐๐ง๐ฌ๐ข๐๐ง๐ญ ๐ฉ๐จ๐ฐ๐๐ซ ๐๐จ๐ง๐ญ๐ซ๐จ๐ฅ.



Comments