一、学术论文（部分）
1.Xie H, Li L, Song X, et al. Parameter self‐learning feedforward compensation‐based active disturbance rejection for path‐following control of self‐driving forklift trucks[J]. Asian Journal of Control, 2023, 25(6): 4435-4451.
2.Xie H, Xu Q, Song K. Layered disturbance rejection path-following control with geometry-based feedforward for unmanned rollers[J]. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2023, 237(6): 1435-1453.
3.Hu D, Xie H, Song K, et al. An apprenticeship-reinforcement learning scheme based on expert demonstrations for energy management strategy of hybrid electric vehicles[J]. Applied Energy, 2023, 342: 121227.
4.Xie H, Xu Q, Song K. Layered disturbance rejection path-following control with geometry-based feedforward for unmanned rollers[J]. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2023, 237(6): 1435-1453.
5.Song K, Upadhyay D, Xie H. An assessment of the impacts of low-pressure exhaust gas recirculation on the air path of a diesel engine equipped with electrically assisted turbochargers[J]. International Journal of Engine Research, 2021, 22(1): 3-21.
6.Xiong S, Xie H, Song K, et al. A speed tracking method for autonomous driving via ADRC with extended state observer[J]. Applied Sciences, 2019, 9(16): 3339.
7.Song K, Zhao B, Sun H, et al. A physics-based zero-dimensional model for the mass flow rate of a turbocharger compressor with uniform/distorted inlet condition[J]. International Journal of Engine Research, 2019, 20(6): 624-639.
8.Song K, Upadhyay D, Xie H. A physics-based turbocharger model for automotive diesel engine control applications[J]. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2019, 233(7): 1667-1686.
9.Tong Q, Xie H, Song K, et al. A control-oriented engine torque online estimation approach for gasoline engines based on in-cycle crankshaft speed dynamics[J]. Energies, 2019, 12(24): 4683.
10.Song K, Upadhyay D, Xie H. Control of diesel engines with electrically assisted turbocharging through an extended state observer based nonlinear MPC[J]. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2019, 233(2): 378-395.
11.Song K, Upadhyay D, Xie H. An assessment of performance trade-offs in diesel engines equipped with regenerative electrically assisted turbochargers[J]. International Journal of Engine Research, 2019, 20(5): 510-526.
12.Wu C, Song K, Li S, et al. Impact of electrically assisted turbocharger on the intake oxygen concentration and its disturbance rejection control for a heavy-duty diesel engine[J]. Energies, 2019, 12(15): 3014.
13.Song K, Wang X, Xie H. Trade-off on fuel economy, knock, and combustion stability for a stratified flame-ignited gasoline engine[J]. Applied energy, 2018, 220: 437-446.
14.Song K, Hao T, Xie H. Disturbance rejection control of air–fuel ratio with transport-delay in engines[J]. Control Engineering Practice, 2018, 79: 36-49.
二、授权的发明专利（部分）
1.宋康,谢辉.一种基于需求扭矩预测的增压发动机空气系统的快速储气与供给控制方法:CN202010398672.8[P].CN111677594A
2.宋康,谢辉,邵灿.基于负载变化率主动观测的自学习转速控制方法:202010543898[P]
3.宋康,张榆川,谢辉.一种基于强化学习的新能源汽车红绿灯路口能量回收优化速度规划算法:202011098570[P]
4.宋康,谢辉.一种无人驾驶碾压机后退过程的复合抗扰轨迹跟踪控制算法.CN201911275641.7
5.宋康,谢辉.一种无人驾驶碾压机后退过程的复合抗扰轨迹跟踪控制算法.CN201911275641.7
6.宋康,谢辉.基于总扰动即时观测与迭代学习的重复作业式无人驾驶车辆轨迹跟踪控制算法:202010140701[P]
7.宋康,胡东,谢辉.一种智能网联汽车的迭代优化多尺度融合车速预测算法:CN202110358430.0[P].CN113095558A
8.宋康,董方圆,谢辉.一种基于参数在线学习和MPC的热管理系统能效优化算法:CN202110731160.3[P].CN202110731160.3
9.宋康,董方圆,谢辉.一种基于预测性扩张状态观测器的冷却液温度预测控制算法:CN202110723427.4[P].CN202110723427.4
10.宋康,孙菀露,谢辉.一种基于反步结构的VGT-EGR柴油机空气系统多变量自抗扰控制方法:CN202110722029.0[P].CN202110722029.0
11.宋康,郭帆,谢辉.重复作业式无人驾驶车辆迭代学习自趋优前馈的轨迹跟踪控制算法:CN202011567069.4[P].CN202011567069.4
12.张榆川,李鑫,宋康,等.一种基于二阶线性微分跟踪器和参数双线性模型的车重估计算法:CN202210015667.3[P].CN202210015667.3
13.谢辉,宋康,张榆川.一种人车路协同的多车能效优化算法:CN202110723404.3[P].CN202110723404.3
14.谢辉,徐全志,宋康.一种无人驾驶设备的坐标修正系统及修正方法:201910555376[P]
15.谢辉,徐全志,宋康.一种用于小范围GPS信号死区的无人驾驶设备控制方法.CN201910554681.9
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