# Real-Time Stochastic Predictive Control for Hybrid Vehicle Energy Management

@article{Williams2018RealTimeSP, title={Real-Time Stochastic Predictive Control for Hybrid Vehicle Energy Management}, author={Kyle Williams}, journal={ArXiv}, year={2018}, volume={abs/1804.08766} }

- Published in ArXiv 2018

Williams, Kyle R. Ph.D., Purdue University, May 2018. Real-Time Stochastic Predictive Control for Hybrid Vehicle Energy Management. Major Professor: Monika Ivantysynova, School of Mechanical Engineering. This work presents three computational methods for real time energy management in a hybrid hydraulic vehicle (HHV) when driver behavior and vehicle route are not known in advance. These methods, implemented in a receding horizon control (aka model predictive control) framework, are rather… CONTINUE READING

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