Asisstant Professor

Juraj Benić

jbenic@mathos.hr
+385 31 224 835
8 (ground floor)
School of Applied Mathematics and Informatics

Josip Juraj Strossmayer University of Osijek

Research Interests

control theory, IoT, fluid power

Degrees

Publications

Journal Publications

  1. J. Karlušić, M. Cipek, D. Pavković, Š. Željko, J. Benić, M. Šušnjar, Benefit Assessment of Skidder Power-train Hybridization utilizing a novel Cascade Optimization Algorithm, Sustainability 12 (2020)
    Over the last decade, off-road vehicles are being increasingly hybridized through power-train electrification in terms of additional electrical machine-based propulsion and battery energy storage, with the goal of achieving significant gains in fuel economy and reductions in greenhouse gases emissions. Since hybrid power-trains consist of two or more different energy sources and may be arranged in many different configurations, there are many open questions in their design and powertrain energy management control, which may have influence on the hybridized power-train purchase cost and efficiency. The paper presents a simple backward optimization models of conventional and hybrid cable skidder powertrain. The models are then used in control variables optimization over one forest path in order to find the minimum possible fuel consumption. The optimization results show that 15% fuel efficiency improvement in winching and skid trail driving can be achieved with the selected hybrid powertrain. With that improvement, main hybrid drive components can be paid off in 13 years and if achieved efficiency improvement can be carried throughout all skidder’s operations pay off time is reduced to 44 months.
  2. J. Karlušić, M. Cipek, D. Pavković, J. Benić, Š. Željko, Z. Pandur, M. Šušnjar, Simulation Models of Skidder Conventional and Hybrid Drive, Forests 11/9 (2020)
    The paper presents a hypothetical conversion of a conventional cable skidder powertrain to its hybrid version. Simulations of skidder operation were made for two existing forest paths, based on the technical characteristics of the engine, transmission system and the characteristics of the winch. Fuel and time consumption were calculated per working cycle considering the operating conditions (slope, load mass). The model was then converted to a hybrid version by adding a battery energy storage system in parallel with the electrical power generator and by employing an energy management control strategy. The dimensions of the battery and the power generator were chosen based on the characteristics of the existing winch with the aim of completely taking over its operation. The management strategy was selected using the specific fuel consumption map. All simulations were repeated for the hybrid drive under the same operating conditions. The results show that fuel savings of around 13% can be achieved with the selected hybrid drive and steering strategy.
  3. M. Orešković, J. Benić, M. Essert, A Step toward Machine Recognition of Complex Sentences, TEM Journal 7 (2018), 823-828
    This paper presents theoretical and technological background of a model for machine recognition of complex sentences. It is based on the Syntactic and Semantic Framework (SSF) which implements fundamental linguistic fields network resources and encyclopedias. It can be used to extract subject, predicate and object, as well as other sentence's parts (e.g. NP/VP/PP), and in some cases even semantic roles. In compound sentences the machine can easily recognize independent sentences, whereas in complex sentences the machine recognizes the main clause and the related subordinate clauses as well as sentence types (subject, object, predicate, etc.). Using stored patterns various theories can be tested.


Refereed Proceedings

  1. D. Pavković, M. Cipek, Š. Željko, J. Benić, M. Šušnjar, Hybrid Power-trains for Sustainable Forestry - A Review, 4th South East Europe Conference on Sustainable Development of Energy, Water and Environment Systems, Sarajevo, Bosna i Hercegovina, 2020
    Nowadays there are increasing demands in terms of reducing the cost of running forestry machines along with the regulatory pressures for lower exhaust emissions to improve the ecological indices and reduction of acoustic noise in order to better comply with industry ergonomic guidelines. Therefore, the producers of forestry equipment are increasingly interested in electrification of heavy machinery, which can already be seen as appearance of the certain hybrid and electric forestry vehicles. The hybrid power-train apparently offers a favourable solution that can meet the above requirements for the propulsion of articulated forestry tractors, also known as skidders, due to the possibility of using a lower-power diesel engine, along with an additional energy storage system (e.g. battery) and driveline power source (i.e. electric motor). This allows the considered hybrid power-train configuration to operate with higher overall energy efficiency and higher mechanical performance indices over the conventional (diesel engine-based) propulsion system, and notably extended autonomy compared to fully-electrified power-trains. Moreover, hybrid power-train requires a smaller battery with less energy then its purely electric counterpart, which results in lower power-train weight and total installation cost. The precise determination of the energy consumption of different types of forest vehicles working in different operating regimes and under different terrain conditions is necessary to select the proper power-train for a specific application. The future development of electrified forestry vehicles is also a very important research topic in the field of sustainable forestry engineering. Having this in mind, this paper presents a literature review on existing solutions for hybrid forestry vehicle propulsion.
  2. J. Karlušić, M. Cipek, D. Pavković, Š. Željko, J. Benić, M. Šušnjar, Benefit Assessment of Skidder Power-train Hybridization, 4th South East Europe Conference on Sustainable Development of Energy, Water and Environment Systems, Sarajevo, Bosna i Hercegovina, 2020
    This paper presents a hypothetical conversion of a conventional articulated forestry tractor known as skidder to its hybrid counterpart by incorporating a battery energy storage system. Starting from the basic parameters of 84 kW diesel-powered skidder currently found in the national forestry company fleet, the quasi-static model of the skidder is derived and validated. The conventional skidder model is then converted to its hybrid counterpart by adding a battery energy storage system in parallel with the electrical power generator and an adequate energy management control strategy. The hybrid skidder power-train components are also appropriately re-sized in order to meet comparable traction force and power performance. Both the conventional and hybridized skidder models are then used for the purpose of comparative analysis of main vehicle characteristics for the off-road driving scenario, which includes realistic slope and terrain limitations. The obtained simulation results are used to gain insights about the possible advantages of the proposed conversion/drive-train hybridization in terms of feasible reduction of fuel consumption and related CO 2 emissions, while also considering additional hybridization costs and return of investment period.


Professional Activities

Seminars and Talks

  • 21.2.2019. “Upravljanje izravno pogonjenih elektrohidrauličkih sustava”, na seminaru Servohidraulika, Fakultet strojarstva i brodogradnje

Invited Lectures

  • 8.6.2021. “Direct Driven Hydraulic and Internet of Things”, University of Maribor, faculty of Mechanical Engineering

Study Visits Abroad

  • 21.3.2024. – 29.3.2024., M. O. Auezov South Kazakhstan State University, Kazakhstan