个人简介
| 男,博士,硕士研究生导师,主要从事新能源车辆动力系统测控技术的科研与教学工作,主持和主研多项新能源车辆的动力系统仿真、控制优化、性能测试等方面的国家和省部级科研项目,主持四川省教育厅高等学校创新性实验项目1项,公开发表论文50余篇,其中SCI论文20余篇,授权国家发明专利6项,主持和参与编写地方/团体标准8项,获中国发明协会发明创业奖成果奖二等奖1项、四川省青少年发展基金会欧阳明高院士工作站青年人才发展基金2025年支持计划。 |
工作经历
| 2025/12-至今,bevictor伟德,bevictor伟德,教授; 2020/12-2025.12,bevictor伟德,bevictor伟德,副教授;2018/07-2020/12,bevictor伟德,bevictor伟德,讲师。 |
教育经历
| 2013/09-2017/12,西南交通大学,牵引动力国家重点实验室,博士; 2011/09-2013/06,西南交通大学,信息科学与技术学院,硕士研究生; 2007/09-2011/06,兰州交通大学,自动化与电气工程学院,学士。 |
研究方向
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学术成果
部分学术论文 Wenlong Wang, Jibin Yang, Han Zhang, et al. Optimal energy management strategy for multi-stack fuel cell hybrid systems in shunting locomotives based on deep reinforcement learning. Energy, 2025, 340, 139334.(SCI) Jibin Yang, Li Chen, Xiaohua Wu, et al. Remaining useful life prediction of vehicle-oriented PEMFCs based on seasonal trends and hybrid data-driven models under real-world traffic conditions. Renewable Energy, 2025, 249, 123193.(SCI) Jibin Yang, Li Chen, Bo zhang, et al. Remaining useful life prediction for vehicle-oriented PEMFCs based on organic gray neural network considering the influence of dual energy source synergy.Energy,2025,322,135578.(SCI) Li Chen, jibin Yang,Xiaohua wu. et al. Remaining useful life prediction of PEMFCs based on mode decomposition and hybrid method under real-world traffic conditions.Energy,2025,314,134279.(SCI) Yi Yang, Jibin Yang, Xiaohua Wu, et al. Battery pack capacity prediction using deep learning and data compression technique: a method for real-world vehicles.Journal of Energy Chemistry,2025,106:553-546.(SCI) Li Chen, Jibin Yang, Pengyi Deng, et al. Remaining useful life prediction of fuel cells using a dual data-driven modelwith relative power loss rate-based health indicator under real-worldtraffic conditions. International Journal of Hydrogen Energy, 2025, 157, 150366.(SCI) Jibin Yang, Le Wang, Bo Zhang, Han Zhang, Xiaohua Wu, Xiaohui Xu, Pengyi Deng, Yiqiang Peng. Remaining useful life prediction of vehicle-oriented PEMFC systems based on IGWO-BP neural network under real-world traffic conditions[J].Energy,2024, 291,130334. (SCI) Jibin Yang, Yiqiang Peng, Pengyi Deng, Xiaohui Wu, Jiye Zhang. Hierarchical Energy Manag ement of a Hybrid Propulsion System Considering Speed Profile Optimization[J]. Energy, 2022, 244:123098.(SCI) Jibin Yang, Xiaohui Xu, Yiqiang Peng, Jiye Zhang, Pengyun Song,. Modeling and optimal energy management strategy for a catenary-battery-ultracapacitor based hybrid tramway[J]. Energy, 2019, 183: 1123-1135. (SCI) Ruike Huang, Yiqiang Peng, Jibin Yang*, Xiaohui Xu, Pengyi Deng. Correlation analysis and prediction of PEM fuel cell voltage during start-stop operation based on real-world driving data[J]. Energy, 2022, 260, 124930.(SCI) 薛发俊,杨继斌,邓鹏毅,等. 基于动态特征参数和改进GOA-BP神经网络的车用PEMFC退化趋势预测. 汽车工程,2025,47(11):2050-2158. 成林穗,杨继斌,邓鹏毅,等. 车云协同下动力电池多级安全管理方法研究[J]. 汽车工程, 2025,47(6):2037-1047. 杨继斌,何宗虎,徐晓惠等.基于组合赋权法的燃料电池客车动力总成综合性能评价[J/OL].电源学报, 2023.(CSCD) 杨继斌, 徐晓惠, 彭忆强, 等. 基于NSGA-II算法的储能式有轨电车复合电源参数优化设计[J]. 机械工程学报, 2020, 56(24): 181-189. (EI) 杨继斌, 徐晓惠, 张继业, 等. 燃料电池有轨电车能量管理策略多目标优化[J]. 机械工程学报, 2018, 54(22): 153-159. (EI) 杨继斌, 宋鹏云, 张继业, 等. 混合动力现代有轨电车仿真系统研究[J]. 机械工程学报, 2017, 53(18): 161-168. (EI) 杨继斌, 宋鹏云, 张继业, 等. 燃料电池混合动力列车建模与运行控制研究[J]. 铁道学报, 2017, 39(9): 40-47. (EI) 杨继斌, 张继业, 宋鹏云, 等. 混合动力列车电源系统控制策略[J]. 西南交通大学学报, 2015, 50(1): 20-26. (EI) 杨继斌,张继业,宋鹏云. 储能式有轨电车能量管理策略多目标优化[J]. 电源学报,2017,15(5): 137-143. (CSCD) Zhang H, Yang J, Zhang J, et al. A Firefly Algorithm optimization-based equivalent consumption minimization strategy for fuel cell hybrid light rail vehicle[J]. Energies, 2019, 12(14), Article 2665. (SCI) Zhang H, Yang J, Zhang J, et al. Optimal energy management of a fuel cell-battery-supercapacitor-powered hybrid tramway using a multi-objective approach[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2020, 234(5): 511-523. (SCI) 张晗, 杨继斌,张继业, 等. 燃料电池有轨电车能量管理Pareto多目标优化[J]. 自动化学报, 2019, 45(12): 2378-2392. (EI) 张晗, 杨继斌,张继业, 等. 基于多种群萤火虫算法的车载燃料电池直流微电网能量管理优化[J]. 中国电机工程学报, 2021, 41(3): 833-845. (EI) Xu X, Yang J*, Xu Y. Mean square exponential stability of stochastic complex-valued neural networks with mixed delays[J]. Complexity, 2019, Article 3429326. (SCI) Xu X, Yang J*, Xu Q, et al. Exponential stability for delayed complex-valued neural networks reaction-diffusion terms[J]. Advances in Difference Equations, 2021, 58(2021).(SCI) Xu X, Xu Q, Yang J, et al. Further research on exponential stability for quaternion-valued neural networks with mixed delays[J]. Neurocomputing, 2020, 400: 186-205. (SCI) Xu X, Xue H, Peng Y, Xu Q, Yang J. Robust exponential stability of switched complex-valued neural networks with interval parameter uncertainties and impulses[J]. Complexity, 2018, Article 4981812. (SCI) |
教学工作
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荣誉奖励
社会兼职
国家市场监督管理总局缺陷产品召回技术中心新能源汽车火灾事故调查专家,成都市汽车行业协会专家委员会委员,多个国内外期刊审稿人。 |
