Research on control strategy for Engine of Hybrid Tracked Bulldozer

Wang, Hong; Song, Qiang; Zeng, Pu; Zhao, Ping

doi:10.1109/itec-ap.2014.6940977

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…Tsinghua University, Jilin University, Shanghai Jiao Tong University, Harbin Institute of Technology, and other scientific research institutions [18][19][20][21], as well as China's FAW Group Corporation, Dong Feng Motor Corporation, Chery Automobile Co., Ltd., and Changan Automobile Co., Ltd. [22], are conducting research on hybrid vehicles, and have achieved fruitful results in their research, besides, some related results have also been applied to urban buses, passenger cars, and other vehicles. The research and development of hybrid power systems provide a new platform for the comprehensive development of automotive technology, which is of great significance to promote electric drive in China's automotive industry [23][24][25][26].…”

Section: Related Workmentioning

confidence: 99%

Novel algorithm for identifying kinematics characteristic data under road conditions in Xi’an

Wang¹,

Hu²,

Zhao³

et al. 2023

Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022)

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Aiming at the problem that the kinematics feature dataset of different traffic flow, average speed, acceleration, and traffic time are affected by high-dimensional, irrelevant, and redundant factors, and the kinematics feature dataset is a multiobjective, multi-constrained and complex nonlinear optimization system, the improved multi-objective evolutionary soft subspace clustering algorithm (iMOSSC) is proposed to mine the micro-stroke segments with different kinematic characteristics and realize data classification. The algorithm uses iNSGA-II as the base algorithm and performs local search operator and repair operator operation in the feature space to accelerate convergence and improve the accuracy of the solution. The feasibility and effectiveness of the algorithm are verified by 12 sets of UCI standard dataset. The classified kinematics characteristic data is used to construct the Xi'an urban road trajectory database. Compared with the iMWK-HD algorithm in the collected kinematics feature data of circulation condition, the feature importance degree of the iMOSSC algorithm is more reasonable, the stability is better, the accuracy is higher, and the classification effectiveness is more obvious than the iMWK-HD algorithm. The excavated kinematics data is imported into the Optimumlap simulation software to construct the actual road circulation condition trajectory database. Based on the ADVISOR commercial software platform for the simulation module. The simulation results show that the fuel economy, acceleration time, and gradeability of the novel dual-mode&dual-motor hybrid drive system are better than those of gasoline vehicles and Prius vehicles when operating under actual road conditions.

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Section: Related Workmentioning

confidence: 99%

Novel algorithm for identifying kinematics characteristic data under road conditions in Xi’an

Wang¹,

Hu²,

Zhao³

et al. 2023

Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022)

View full text Add to dashboard Cite

show abstract

“…The control of bulldozer blade could be addressed by using the fuzzy theory for in a semi-automatic control real-world bulldozer [62]. Meanwhile, a control strategy for hybrid engines of tracked bulldozers was also addressed in [63], based on a multi-objective design optimisation of the engine control parameters to minimise its fuel consumption.…”

Section: Principles and Subsystemsmentioning

confidence: 99%

Earthmoving Construction Automation with Military Applications: Past, Present and Future

Ha¹,

Yen²,

Balaguer³

2018

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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Amongst increasing innovations in frontier engineering sciences, the advancements in Robotic and Autonomous Systems (RAS) has brought about a new horizon in construction applications. There is evidence of increasing interest in RAS technologies in the civil construction sector being reflected in construction efforts of many military forces. In particular, Army or ground-based military forces are frequently called upon to conduct construction tasks as part of military operations, tasks which could be partially or fully aided by the employment of RAS technologies. Along with recent advances in the Internet of Things (IoT) and cyberphysical system infrastructure, it is essential to examine the current technical feasibility, maturity, affordability, as well as the challenges and future directions of the adoption and application of RAS to military construction. This paper presents a comprehensive survey and provides a contemporary and industry-independent overview on the state-ofthe-art of construction automation used in defence, spanning current world's best practice through to that which is predicted over the coming years.

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Genetic algorithm study on control strategy parameter optimization of hybrid powertrain system

Song¹,

Zhao²

2017

2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

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Research on control strategy for Engine of Hybrid Tracked Bulldozer

Cited by 3 publications

References 1 publication

Novel algorithm for identifying kinematics characteristic data under road conditions in Xi’an

Novel algorithm for identifying kinematics characteristic data under road conditions in Xi’an

Earthmoving Construction Automation with Military Applications: Past, Present and Future

Genetic algorithm study on control strategy parameter optimization of hybrid powertrain system

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