Special Focus on Learning and Real-time Optimization of Automotive Powertrain Systems
EDITORIAL Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

Special focus on learning and real-time optimization of automotive powertrain systems
Shen, Tielong; Eriksson, Lars
Sci China Inf Sci, 2018, 61(7): 070200
Cite as: Shen T L, Eriksson L. Special focus on learning and real-time optimization of automotive powertrain systems. Sci China Inf Sci, 2018, 61(7): 070200, doi: 10.1007/s11432-018-9393-2

Special Focus on Learning and Real-time Optimization of Automotive Powertrain Systems
REVIEW Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 16

A survey on online learning and optimization for spark advance control of SI engines
Zhang, Yahui; Shen, Xun; Shen, Tielong
Sci China Inf Sci, 2018, 61(7): 070201
Keywords: online learning; stochastic optimization; iterative solution; combustion control; spark ignition engine
Cite as: Zhang Y H, Shen X, Shen T L. A survey on online learning and optimization for spark advance control of SI engines. Sci China Inf Sci, 2018, 61(7): 070201, doi: 10.1007/s11432-017-9377-7

Special Focus on Learning and Real-time Optimization of Automotive Powertrain Systems
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

Real-time performance of DAE and ODE based estimators evaluated on a diesel engine
Hockerdal, Erik; Frisk, Erik; Eriksson, Lars
Sci China Inf Sci, 2018, 61(7): 070202
Keywords: estimation; learning; dae; ode; ekf; observability; real-time
Cite as: Höckerdal E, Frisk E, Eriksson L. Real-time performance of DAE and ODE based estimators evaluated on a diesel engine. Sci China Inf Sci, 2018, 61(7): 070202, doi: 10.1007/s11432-017-9332-6

Special Focus on Learning and Real-time Optimization of Automotive Powertrain Systems
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 8

Constrained control of free piston engine generator based on implicit reference governor
Gong, Xun; Kolmanovsky, Ilya; Garone, Emanuele; Zaseck, Kevin; Chen, Hong
Sci China Inf Sci, 2018, 61(7): 070203
Keywords: free piston engine generator; implicit system; reference governor; newton's method; error bound
Cite as: Gong X, Kolmanovsky I, Garone E, et al. Constrained control of free piston engine generator based on implicit reference governor. Sci China Inf Sci, 2018, 61(7): 070203, doi: 10.1007/s11432-017-9337-1

Special Focus on Learning and Real-time Optimization of Automotive Powertrain Systems
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 6

Benefits of model predictive control for gasoline airpath control
Albin, Thivaharan
Sci China Inf Sci, 2018, 61(7): 070204
Keywords: model predictive control; engine control; airpath control
Cite as: Albin T. Benefits of model predictive control for gasoline airpath control. Sci China Inf Sci, 2018, 61(7): 070204, doi: 10.1007/s11432-017-9342-7

Special Focus on Learning and Real-time Optimization of Automotive Powertrain Systems
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 11

Optimal calibration scheme for map-based control of diesel engines
Nishio, Yui; Murata, Yutaka; Yamaya, Yukihisa; Kikuchi, Masato
Sci China Inf Sci, 2018, 61(7): 070205
Keywords: optimization; gaussian; sqp; diesel engine; calibration; doe
Cite as: Nishio Y, Murata Y, Yamaya Y, et al. Optimal calibration scheme for map-based control of diesel engines. Sci China Inf Sci, 2018, 61(7): 070205, doi: 10.1007/s11432-017-9381-6

Special Focus on Learning and Real-time Optimization of Automotive Powertrain Systems
RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 8

Yaw stability control for a rear double-driven electric vehicle using LPV-H∞ methods
Weiss, Yonathan; Allerhand, Liron I.; Arogeti, Shai
Sci China Inf Sci, 2018, 61(7): 070206
Keywords: yaw stability control; electric vehicle; torque vectoring; h infinity control; gain-scheduling
Cite as: Weiss Y, Allerhand L I, Arogeti S. Yaw stability control for a rear double-driven electric vehicle using LPV-H∞ methods. Sci China Inf Sci, 2018, 61(7): 070206, doi: 10.1007/s11432-017-9339-7

Special Focus on Learning and Real-time Optimization of Automotive Powertrain Systems
HIGHLIGHT Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 16

A stochastic logical model-based approximate solution for energy management problem of HEVs
Zhang, Jiangyan; Wu, Yuhu
Sci China Inf Sci, 2018, 61(7): 070207
Keywords: transient logical model; hev; optimal energy management; stochastic control; approximate solution
Cite as: Zhang J Y, Wu Y H. A stochastic logical model-based approximate solution for energy management problem of HEVs. Sci China Inf Sci, 2018, 61(7): 070207, doi: 10.1007/s11432-017-9329-6

Special Focus on Learning and Real-time Optimization of Automotive Powertrain Systems
HIGHLIGHT Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 10

Relevance between fractional-order hybrid model and unified equivalent circuit model of electric vehicle power battery
Zhang, Qi; Cui, Naxin; Shang, Yunlong; Xing, Guojing; Zhang, Chenghui
Sci China Inf Sci, 2018, 61(7): 070208
Keywords: fractional order; electric vehicle power battery; hybrid battery model; equivalent circuit battery model; kinetic battery model
Cite as: Zhang Q, Cui N X, Shang Y L, et al. Relevance between fractional-order hybrid model and unified equivalent circuit model of electric vehicle power battery. Sci China Inf Sci, 2018, 61(7): 070208, doi: 10.1007/s11432-017-9364-2

Special Focus on Learning and Real-time Optimization of Automotive Powertrain Systems
HIGHLIGHT Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 9

Predictive safety control for road vehicles after a tire blowout
Wang, Fei; Chen, Hong; Guo, Lulu; Hu, Yunfeng
Sci China Inf Sci, 2018, 61(7): 070209
Keywords: predictive safety control; driving assistance system; automotive active safety; model predictive control; road vehicles after a tire blowout
Cite as: Wang F, Chen H, Guo L L, et al. Predictive safety control for road vehicles after a tire blowout. Sci China Inf Sci, 2018, 61(7): 070209, doi: 10.1007/s11432-017-9330-6