This paper presents a model-based hybrid technique for energy management in parallel hybrid electric vehicles. The proposed hybrid algorithm uses combination of 3 different optimization techniques for energy management in parallel hybrid electric vehicles. The three different optimization techniques used are fuzzy logic, rule based and ECMS. The hybrid algorithm has 2 parts, in first part the mode of operations of parallel hybrid electric vehicles are done with the help of fuzzy logic and rule based. In second part the power request obtain in mode 3 (engine+ motor mode) is further optimized with help of ECMS. Japanese 15 mode driving cycle has been used for testing the hybrid algorithm. The result of hybrid algorithm is compared with ECMS only algorithm.
Parallel electric hybrid vehicles, equivalent consumption minimization strategy, hybrid algorithm, fuel consumption, Rule based, Fuzzy logic.
Vikas Gupta, Optimization Trilogy for Energy Management in Parallel Hybrid Electric Vehicles, HCTL Open International Journal of Technology Innovations and Research (IJTIR), Volume 17, September 2015, e-ISSN: 2321-1814, ISBN: 978-1-94416-926-8.