论文信息 - Predictive control for energy management in all/more electric vehicles with multiple energy storage units

Predictive control for energy management in all/more electric vehicles with multiple energy storage units

The paper describes the application of Model Predictive Control (MPC) methodologies for application to electric and hybrid-electric vehicle drive-train formats incorporating multiple energy/power sources. Particular emphasis is given to the co-ordinated management of energy flow from the multiple sources to address issues of extended vehicle range and battery life-time for all-electric drive-trains, and emissions reduction and drive-train torsional oscillations, for hybrid-electric counterparts, whilst accommodating operational constraints and, ultimately, generic non-standard driving cycles.

[1] Alberto Bemporad,et al. An algorithm for multi-parametric quadratic programming and explicit MPC solutions , 2003, Autom..

[2] Jan M. Maciejowski,et al. Predictive control : with constraints , 2002 .

[3] T. Johansen,et al. An algorithm for multi-parametric quadratic programming and explicit MPC solutions , 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

[4] C. Pinello,et al. Automotive engine control and hybrid systems: challenges and opportunities , 2000, Proceedings of the IEEE.

[5] Marko Bacic,et al. Model predictive control , 2003 .

[6] Tony Markel,et al. Optimizing Energy Management Strategy and Degree of Hybridization for a Hydrogen Fuel Cell SUV , 2001 .

[7] David W. Clarke,et al. Generalized predictive control - Part I. The basic algorithm , 1987, Autom..

[8] Uwe Kiencke,et al. Automotive Control Systems: For Engine, Driveline, and Vehicle , 2000 .

[9] D. Morrey,et al. Automotive test drive cycles for emission measurement and real-world emission levels-a review , 2002 .