Dimensioning and Configuration of EES Systems for Electric Vehicles with Boundary-Conditioned Adaptive Scalarization


Wan Li Chang

26.09.2013, 12:00, room 4981


Electric vehicles (EVs) are widely considered as a solution
for efficient, sustainable and intelligent transportation. An electrical
energy storage (EES) system is the most important component in an EV in
terms of performances and cost. This talk discusses a new approach for
optimal dimensioning and configuration of EES systems in EVs. A
multi-objective optimization problem is formulated with driving range,
power output, installation space and cost as design targets. A novel
boundary-conditioned adaptive scalarization technique is used to solve
this problem, providing a customized distribution of Pareto points
according to different specific requirements from automotive manufacturers.


Chang Wanli obtained his bachelor degree from Nanyang
Technological University, Singapore with First Class Honours in 2008 and
master degree from TUM with distinction in 2010, both in electrical
engineering. After graduation, he joined in Infineon working on
micro-controller design and verification for automotive use. He is now
working at TUM CREATE, Singapore towards his PhD degree from TUM and his
PhD advisor is Prof. Samarjit Chakraborty