AVL is the world's largest independent company for the development, simulation and testing of powertrain systems (hybrid, combustion engine, transmission, electric drive, batteries, fuel cell and control technology) for passenger cars, commercial vehicles, construction, large engines and their integration into the vehicle.
Thesis work - Benchmarking state of charge estimation methods in lithium-ion battery for electric ve
|Department:||- not defined|
- Background: There has always been a big concern to estimate the SOC for all energy storage devices. SOC estimation with high accuracy not only gives us information about remaining useful energy, but also it evaluates the reliability of batteries. In addition, an accurate and efficient SOC estimation gives an idea about charging/discharging strategies, which have a significant impact on battery application where each cell may have different capacities due to aging, temperature, self-discharge, and manufacture difference. The conventional method uses the physical properties of the battery, which includes voltage, discharge current, resistance, and impedance. The adaptive filter algorithm uses various models and algorithms to calculate the SOC.The objective of the thesis is do a benchmark analysis of different SOC estimation methodologies mainly focusing on conventional and adaptive filter algorithms (Luenberger, KF, EKF, UKF, SPKF, PF) and to highlight the advantages, limitations and average errors involved.This is done through
- literature review of different SOC estimation methods. Implementation of these algorithms in given electrical model and perform calibration based on the measurement data and to validate it. Performing complete benchmark analysis based on runtime (on the target hardware – Emulator - Boards), memory, calibration effort, accuracy, etc.The duration period is one semester, 30 ECTS points and will be performed at AVL
- Starting date: January 2020
- Number of students: suitable for one student
- Tools, MATLAB/ Simulink.
- We are looking for a highly motivated student from electric power or Automotive engineering field that have a genuine interest in cars.
- Good knowledge of lithium-ion cellmodelling.
- Good knowledge of MATLAB, Simulink and
- familiar in Infineon emulator boards.
We look forward to receiving your details; please use our online application tool to send your application to AVL