Resolution method for mixed integer bi-level linear problems based on decomposition technique
Journal of Global Optimization
Proceedings of the 46th Annual Design Automation Conference
SIAM Journal on Optimization
Hierarchical hybrid power supply networks
Proceedings of the 47th Design Automation Conference
Hybrid electrical energy storage systems
Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design
Application of Multi-objective Particle Swarm Optimization in Automobile Transmission Design
ICIC '10 Proceedings of the 2010 Third International Conference on Information and Computing - Volume 01
Charge migration efficiency optimization in hybrid electrical energy storage (HEES) systems
Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design
Balanced reconfiguration of storage banks in a hybrid electrical energy storage system
Proceedings of the International Conference on Computer-Aided Design
ISGT '12 Proceedings of the 2012 IEEE PES Innovative Smart Grid Technologies
Networked architecture for hybrid electrical energy storage systems
Proceedings of the 49th Annual Design Automation Conference
System architecture and software design for electric vehicles
Proceedings of the 50th Annual Design Automation Conference
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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 work proposes an approach for optimal dimensioning and configuration of EES systems in EVs. It is challenging to find optimal design points in the parameter space, which expands exponentially with the number of battery types available and the number of cells that can be implemented for each type. A multi-objective optimization problem is formulated with the driving range, rated power output, installation space and cost as design targets. We report a novel boundary-conditioned adaptive scalarization technique to solve both convex and concave problems. It provides a Pareto surface of evenly distributed Pareto points, presents the group of Pareto points according to different specific requirements from automotive manufacturers and also takes the fact in EES system design into account that the importance of an objective could be nonlinear to its value. Numerical and practical experiments prove that our proposed approach is effective for industry use and produces optimal solutions.