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Deep reinforcement learning based energy management for a hybrid electric vehicle
Deep reinforcement learning based energy management for a hybrid electric vehicle
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Deep reinforcement learning based energy management for a hybrid electric vehicle

Du, Guodong ; Zou, Yuan ; Zhang, Xudong ; Liu, Teng ; Wu, Jinlong ; He, Dingbo

Energy (Oxford), 2020-06, Vol.201, p.117591, Article 117591 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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Active Disturbance Rejection Control for Active Suspension System of Tracked Vehicles With Gun
Active Disturbance Rejection Control for Active Suspension System of Tracked Vehicles With Gun
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Active Disturbance Rejection Control for Active Suspension System of Tracked Vehicles With Gun

Xia, Yuanqing ; Fu, Mengyin ; Li, Chunming ; Pu, Fan ; Xu, Yingwei

IEEE transactions on industrial electronics (1982), 2018-05, Vol.65 (5), p.4051-4060 [Periódico revisado por pares]

New York: IEEE

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3
A novel alternate multibody model for the longitudinal and ride dynamics of a tracked vehicle
A novel alternate multibody model for the longitudinal and ride dynamics of a tracked vehicle
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A novel alternate multibody model for the longitudinal and ride dynamics of a tracked vehicle

Mahalingam, Ilango ; Padmanabhan, Chandramouli

Vehicle system dynamics, 2021-03, Vol.59 (3), p.433-457 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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4
A Bi-Level Control for Energy Efficiency Improvement of a Hybrid Tracked Vehicle
A Bi-Level Control for Energy Efficiency Improvement of a Hybrid Tracked Vehicle
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A Bi-Level Control for Energy Efficiency Improvement of a Hybrid Tracked Vehicle

Liu, Teng ; Hu, Xiaosong

IEEE transactions on industrial informatics, 2018-04, Vol.14 (4), p.1616-1625

Piscataway: IEEE

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Online Markov Chain-based energy management for a hybrid tracked vehicle with speedy Q-learning
Online Markov Chain-based energy management for a hybrid tracked vehicle with speedy Q-learning
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Online Markov Chain-based energy management for a hybrid tracked vehicle with speedy Q-learning

Liu, Teng ; Wang, Bo ; Yang, Chenglang

Energy (Oxford), 2018-10, Vol.160, p.544-555 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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6
Kinematics-aware model predictive control for autonomous high-speed tracked vehicles under the off-road conditions
Kinematics-aware model predictive control for autonomous high-speed tracked vehicles under the off-road conditions
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Kinematics-aware model predictive control for autonomous high-speed tracked vehicles under the off-road conditions

Zhao, Ziye ; Liu, Haiou ; Chen, Huiyan ; Hu, Jiaming ; Guo, Hongming

Mechanical systems and signal processing, 2019-05, Vol.123, p.333-350 [Periódico revisado por pares]

Berlin: Elsevier Ltd

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7
Modeling verification of an advanced torsional spring for tracked vehicle suspension in 2S1 vehicle model
Modeling verification of an advanced torsional spring for tracked vehicle suspension in 2S1 vehicle model
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Modeling verification of an advanced torsional spring for tracked vehicle suspension in 2S1 vehicle model

Nabagło, Tomasz ; Jurkiewicz, Andrzej ; Kowal, Janusz

Engineering structures, 2021-02, Vol.229, p.111623, Article 111623 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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8
Modelling and analysis of longitudinal-vertical coupling dynamics for the tracked vehicle on uneven roads
Modelling and analysis of longitudinal-vertical coupling dynamics for the tracked vehicle on uneven roads
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Modelling and analysis of longitudinal-vertical coupling dynamics for the tracked vehicle on uneven roads

Guo, Zhiqiang ; Zhao, Sihai ; Luo, Junlin

Proceedings of the Institution of Mechanical Engineers. Part D, Journal of automobile engineering, 2023-10, Vol.237 (12), p.2885-2898 [Periódico revisado por pares]

London, England: SAGE Publications

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9
Semi-active control of tracked vehicle suspension incorporating magnetorheological dampers
Semi-active control of tracked vehicle suspension incorporating magnetorheological dampers
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Semi-active control of tracked vehicle suspension incorporating magnetorheological dampers

Ata, W. G. ; Salem, A. M.

Vehicle system dynamics, 2017-05, Vol.55 (5), p.626-647 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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10
A Real-Time Markov Chain Driver Model for Tracked Vehicles and Its Validation: Its Adaptability via Stochastic Dynamic Programming
A Real-Time Markov Chain Driver Model for Tracked Vehicles and Its Validation: Its Adaptability via Stochastic Dynamic Programming
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A Real-Time Markov Chain Driver Model for Tracked Vehicles and Its Validation: Its Adaptability via Stochastic Dynamic Programming

Zou, Yuan ; Kong, Zehui ; Liu, Teng ; Liu, Dexin

IEEE transactions on vehicular technology, 2017-05, Vol.66 (5), p.3571-3582 [Periódico revisado por pares]

New York: IEEE

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