With ever growing concerns on energy crisis and environmental issues, alternative clean and energy efficient vehicles are favoured for public applications. Internal combustion engine(ICE)-powered series hybrid buses and fuel cell (FC) hybrid buses, respectively as a near-term and long-term strategy, have a very promising application prospect. The series hybrid vehicle utilizes an ICE/FC as the ...

The highest control layer of a (hybrid) vehicular drive train is termed the Energy Management Strategy (EMS). In this paper an overview of different control methods is given and a new rule-based EMS is introduced based on the combination of Rule-Based and Equivalent Consumption Minimization Strategies (RB-ECMS). The RB-ECMS uses only one main design parameter and requires no tuning of many thre...

Hybrid cranes use ultracapacitors to store energy that is regenerated when lowering a container or during braking, and reuses this energy to assist the engine later on. A hybrid crane needs a system that optimizes the fuel cost by controlling in real time the two available power sources. Currently, the crane uses a rule-based heuristic strategy, which does not achieve optimal results and is dif...

in this paper a guided tabu search (gts) is utilized for optimal nodal ordering of finite element models (fems) leading to small profile for the stiffness matrices of the models. the search strategy is accelerated and a graph-theoretical approach is used as guidance. the method is evaluated by minimization of graph matrices pattern equivalent to stiffness matrices of finite element models. comp...

Hybrid electric vehicles require an adequate energy management strategy in order to actually optimize their consumption. Many real-time controls were recently proposed in literature, but as each study is performed in a specific context, it is difficult to compare their efficiencies. The present paper proposes a comparison between 3 recent promising real-time strategies: adaptive equivalent cons...

To fully utilize the fuel reduction potential of a hybrid powertrain requires a careful design of the energy management control algorithms. Here a controller is created using mapbased equivalent consumption minimization strategy and implemented to function without any knowledge of the future driving mission. The optimal torque distribution is calculated offline and stored in tables. Despite onl...