Cyber Physical Systems Lab
Department of Computer Science and Electrical Engineering
West Virginia University
 
RELATED PROJECT:
ECOCAR3


See our ECOCAR3 page :
http://ecocar3.org/wvu/about-us/


Transportation Efficiency: Cooperative Vehicle Efficiency Systems (CVES) 


An optimal power management strategy is the key to benefit from hybridization of a vehicle powertrain. Designing such a strategy requires knowledge of the vehicle energy
requirements during its drive cycle. Therefore, information available through Intelligent Transportation Systems (ITS) can play a critical role in designing such an optimal powertrain management. To avoid the implementation and practical issues of global optimal solutions, sub-optimal methods such as Equivalent Consumption Minimization Strategy (ECMS) have been introduced for the power distribution in Hybrid Electric Vehicles (HEV). However, the dependency of ECMS on prior knowledge about the driving cycle is a deterring effect for real-time implementation. Accordingly, on-line decision making about the equivalent factor value used in ECMS, which translates the electrical energy into the equivalent fuel energy, is the challenge captivating researches'' attention. In this work, an adaptive method for enhancement of the ECMS based on the prediction of driving conditions is proposed. Using the approximated future energy requirement of the vehicle over the prediction time horizon, the sub-optimal value of equivalent factor is updated. More details and results from this work are reported in our 2015 paper (citation below).



Related Papers:

  • H. Kazemi, B. Khaki, Y.P. Fallah, A. Nix, S. Wayne, "Utilizing Situational Awareness for Efficient Control of Powertrain in Parallel Hybrid Electric Vehicles", In Proc. of IEEE Int Conf. on Ubiquitous Wireless Broadband, Workshop on V2X Communication and Applications, Oct. 2015

 


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(c) Y.P. Fallah 2011