scholarly journals Benefit Assessment of Skidder Powertrain Hybridization Utilizing a Novel Cascade Optimization Algorithm

2020 ◽  
Vol 12 (24) ◽  
pp. 10396
Author(s):  
Juraj Karlušić ◽  
Mihael Cipek ◽  
Danijel Pavković ◽  
Željko Šitum ◽  
Juraj Benić ◽  
...  
Keyword(s):  
Fuel Efficiency ◽  
Management Control ◽  
Electrical Machine ◽  
Hybrid Powertrain ◽  
Greenhouse Gases Emissions ◽  
Open Questions ◽  
Purchase Cost ◽  
Hybrid Powertrains ◽  
Fuel Efficiency Improvement ◽  
Battery Energy

Over the last decade, off-road vehicles have been increasingly hybridized through powertrain 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 powertrains 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 powertrain purchase cost and efficiency. This paper presents simple backward optimization models of conventional and hybrid cable skidder powertrains. These models are then used in the optimization of control variables 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.

scholarly journals Configuration optimization for improving fuel efficiency of power split hybrid powertrains with a single planetary gear

2018 ◽  
Vol 214 ◽  
pp. 103-116 ◽  
Author(s):  
Huanxin Pei ◽  
Xiaosong Hu ◽  
Yalian Yang ◽  
Xiaolin Tang ◽  
Cong Hou ◽  
...  
Keyword(s):  
Fuel Efficiency ◽  
Planetary Gear ◽  
Configuration Optimization ◽  
Hybrid Powertrains ◽  
Power Split

Application of State Transition Energy Management Control Algorithm in Fuel Cell

2021 ◽  
Author(s):  
Zheng Pan ◽  
Qihong Xiao ◽  
Yangliang Chen
Keyword(s):  
Fuel Cell ◽  
Energy Management ◽  
State Transition ◽  
Motor Vehicle ◽  
Transition Energy ◽  
Simulation Software ◽  
Management Control ◽  
Hydrogen Consumption ◽  
Management Algorithm ◽  
Battery Energy

Dynamic programming algorithms are widely used in motor vehicle fuel cells, and can help battery energy management control to perform error analysis. The paper designs the decision-making process of fuel cell charge and discharge management based on the state transition energy management algorithm, which is used to analyse the cumulative causes of errors and the corresponding results. The article uses simulation software to simulate the algorithm proposed in this paper, and finds that the algorithm is an energy management optimization decision, and the error of the hydrogen consumption obtained by the algorithm relative to the theoretical optimal hydrogen consumption is less than 0.25%.

scholarly journals Simulation Models of Skidder Conventional and Hybrid Drive

Forests ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 921
Author(s):  
Juraj Karlušić ◽  
Mihael Cipek ◽  
Danijel Pavković ◽  
Juraj Benić ◽  
Željko Šitum ◽  
...  
Keyword(s):  
Storage System ◽  
Electrical Power ◽  
Simulation Models ◽  
Energy Storage System ◽  
Management Control ◽  
Operating Conditions ◽  
Hybrid Drive ◽  
Power Generator ◽  
Working Cycle ◽  
Battery Energy

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.

Integrated System Design and Control Optimization of Hybrid Electric Propulsion System Using a Bi-Level, Nested Approach

2019 ◽  
Author(s):  
Li Chen ◽  
Huachao Dong ◽  
Zuomin Dong
Keyword(s):  
Electric Propulsion ◽  
Fuel Efficiency ◽  
Ghg Emissions ◽  
Propulsion System ◽  
Hybrid Powertrain ◽  
Electric Propulsion System ◽  
Powertrain System ◽  
Marine Propulsion ◽  
Hybrid Electric ◽  
Hybrid Electric Powertrain

Abstract Hybrid electric powertrain systems present as effective alternatives to traditional vehicle and marine propulsion means with improved fuel efficiency, as well as reduced greenhouse gas (GHG) emissions and air pollutants. In this study, a new integrated, model-based design and optimization method for hybrid electric propulsion system of a marine vessel (harbor tugboat) has been introduced. The sizes of key hybrid powertrain components, especially the Li-ion battery energy storage system (ESS), which can greatly affect the ship’s life-cycle cost (LCC), have been optimized using the fuel efficiency, emission and lifecycle cost model of the hybrid powertrain system. Moreover, the control strategies for the hybrid system, which is essential for achieving the minimum fuel consumption and extending battery life, are optimized. For a given powertrain architecture, the optimal design of a hybrid marine propulsion system involves two critical aspects: the optimal sizing of key powertrain components, and the optimal power control and energy management. In this work, a bi-level, nested optimization framework was proposed to address these two intricate problems jointly. The upper level optimization aims at component size optimization, while the lower level optimization carries out optimal operation control through dynamic programming (DP) to achieve the globally minimum fuel consumption and battery degradation for a given vessel load profile. The optimized Latin hypercube sampling (OLHS), Kriging and the widely used Expected Improvement (EI) online sampling criterion are used to carry out “small data” driven global optimization to solve this nested optimization problem. The obtained results showed significant reduction of the vessel LCC with the optimized hybrid electric powertrain system design and controls. Reduced engine size and operation time, as well as improved operation efficiency of the hybrid system also greatly decreased the GHG emissions compared to traditional mechanical propulsion.

Fuel efficiency improvement on a business jet using a camber morphing winglet concept

2020 ◽  
Vol 96 ◽  
pp. 105542 ◽  
Author(s):  
João Paulo Eguea ◽  
Gabriel Pereira Gouveia da Silva ◽  
Fernando Martini Catalano
Keyword(s):  
Fuel Efficiency ◽  
Efficiency Improvement ◽  
Business Jet ◽  
Fuel Efficiency Improvement
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