In this paper a model-based hybrid algorithm for energy management in parallel hybrid electric vehicles is presented. The aim is to develop a hybrid algorithm which gives optimal solution for fuel consumption for both online and offline conditions. This algorithm has two parts. In the first part the modes of operation are selected by the help of IF THEN ELSE rules, the selection of mode in which the hybrid electric vehicle is working is done. IF THEN ELSE rules are also used to optimize the fuel consumption by selecting engine to work in high efficiency zone. In the second part the fuel consumption obtained in electric and engine combined mode is further optimized by Equivalent consumption minimization strategy (ECMS) algorithm. The main advantage of this algorithm is that it can do optimization for both online and offline scenarios and this algorithm do not need the prior knowledge of the drive cycle. It gives optimal solution, also, the computational time of this algorithm is very low, the algorithm has very less mathematical complexity, and coding is easy to do.
Parallel hybrid vehicles, ECMS, IF Then else rules, online scenario, optimization, modes
Vikas Gupta, ECMS Based Hybrid Algorithm for Energy Management in Parallel Hybrid Electric Vehicles, HCTL Open International Journal of Technology Innovations and Research (IJTIR), Volume 14, April 2015, eISSN: 2321-1814, ISBN (Print): 978-1-62951-946-3.