Application of an Optimal Control Problem to a Trip-Based Energy Management for Electric Vehicles 2013-01-1465
A trip-based energy management strategy for electric vehicles (EVs) is proposed. It can use deterministic routing information obtained from, nowadays, available navigation systems and determines stochastic descriptions of process uncertainties such as stop events as unpredictable disturbances. A dynamic programming algorithm is used to calculate the optimal control trajectories required to reach the target destination safely and to suggest the driver an optimal driving style to maximize the battery range. The algorithm is implemented on a rapid prototyping platform using MATLAB/Simulink. Simulations and experimental results obtained from an EV prototype car are presented.
Citation: Boehme, T., Held, F., Rollinger, C., Rabba, H. et al., "Application of an Optimal Control Problem to a Trip-Based Energy Management for Electric Vehicles," SAE Int. J. Alt. Power. 2(1):115-126, 2013, https://doi.org/10.4271/2013-01-1465. Download Citation
Author(s):
Thomas Juergen Boehme, Florian Held, Christoph Rollinger, Heiko Rabba, Matthias Schultalbers, Bernhard Lampe
Affiliated:
IAV Automotive Engineering, University of Rostock
Pages: 12
Event:
SAE 2013 World Congress & Exhibition
ISSN:
2167-4191
e-ISSN:
2167-4205
Also in:
SAE International Journal of Alternative Powertrains-V122-8, SAE International Journal of Alternative Powertrains-V122-8EJ
Related Topics:
Optimization
Rapid prototyping
Electric vehicles
CAD, CAM, and CAE
Mathematical models
Batteries
Vehicle drivers
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