Longevity-conscious dimensioning and power management of the hybrid energy storage system in a fuel cell hybrid electric bus

Energy storage systems (ESSs) play an important role in the performance and economy of electrified vehicles. Hybrid energy storage system (HESS) combining both lithium-ion cells and supercapacitors is one of the most promising solutions. This paper discusses the optimal HESS dimensioning and energy management of a fuel cell hybrid electric bus. Three novel contributions are added to the relevant literature. First, efficient convex programming is used to simultaneously optimize the HESS dimension (including sizes of both the lithium-ion battery pack and the supercapacitor stack) and the power allocation between the HESS and the fuel cell system (FCS) of the hybrid bus. In the combined plant/controller optimization problem, a dynamic battery State-of-Health (SOH) model is integrated to quantitatively examine the impact of the battery replacement strategy on both the HESS size and the bus economy. Second, the HESS and the battery-only ESS options are systematically compared in the proposed optimization framework. Finally, the battery-health-perceptive HESS optimization outcome is contrasted to the ideal one neglecting the battery degradation (assuming that the battery is durable over the bus service period without deliberate power regulation).

[1]  P. Melo,et al.  Optimal sizing and energy management of hybrid storage systems , 2012, 2012 IEEE Vehicle Power and Propulsion Conference.

[2]  Edwin Tazelaar,et al.  Analytical Solution of the Energy Management for Fuel Cell Hybrid Propulsion Systems , 2012, IEEE Transactions on Vehicular Technology.

[3]  Alireza Khaligh,et al.  Battery, Ultracapacitor, Fuel Cell, and Hybrid Energy Storage Systems for Electric, Hybrid Electric, Fuel Cell, and Plug-In Hybrid Electric Vehicles: State of the Art , 2010, IEEE Transactions on Vehicular Technology.

[4]  Christian Hulteberg,et al.  Hydrogen Production for Refuelling Applications , 2009 .

[5]  Nina Juul,et al.  Road transport and power system scenarios for Northern Europe in 2030 , 2012 .

[6]  Mitra Pourabdollah,et al.  Electromobility Studies Based on Convex Optimization: Design and Control Issues Regarding Vehicle Electrification , 2014, IEEE Control Systems.

[7]  Lino Guzzella,et al.  Vehicle Propulsion Systems: Introduction to Modeling and Optimization , 2005 .

[8]  Yi-Hsuan Hung,et al.  An integrated optimization approach for a hybrid energy system in electric vehicles , 2012 .

[9]  Simona Onori,et al.  A Comparative Analysis of Energy Management Strategies for Hybrid Electric Vehicles , 2011 .

[10]  L. Gaines,et al.  COSTS OF LITHIUM-ION BATTERIES FOR VEHICLES , 2000 .

[11]  Xiaosong Hu,et al.  Comparison of Three Electrochemical Energy Buffers Applied to a Hybrid Bus Powertrain With Simultaneous Optimal Sizing and Energy Management , 2014, IEEE Transactions on Intelligent Transportation Systems.

[12]  Angelika Heinzel,et al.  Power management optimization of fuel cell/battery hybrid vehicles with experimental validation , 2014 .

[13]  I. Staffell,et al.  Current status of hybrid, battery and fuel cell electric vehicles: From electrochemistry to market prospects , 2012 .

[14]  Long Chen,et al.  Research on energy management of dual energy storage system based on the simulation of urban driving schedules , 2013 .

[15]  Hongwen He,et al.  Energy management strategy research on a hybrid power system by hardware-in-loop experiments , 2013 .

[16]  Guanghui Zhou,et al.  A study of energy efficiency of transport sector in China from 2003 to 2009 , 2013 .

[17]  M. Verbrugge,et al.  Cycle-life model for graphite-LiFePO 4 cells , 2011 .

[18]  Lino Guzzella,et al.  Particle swarm optimisation for hybrid electric drive-train sizing , 2012 .

[19]  Chris Mi,et al.  Hybrid Electric Vehicles: Principles and Applications with Practical Perspectives , 2011 .

[20]  Nikolce Murgovski,et al.  Combined design and control optimization of hybrid vehicles , 2015 .

[21]  Xiaosong Hu,et al.  Energy efficiency analysis of a series plug-in hybrid electric bus with different energy management strategies and battery sizes , 2013 .

[22]  Bo-Chiuan Chen,et al.  Design and analysis of power management strategy for range extended electric vehicle using dynamic programming , 2014 .

[23]  Jonas Sjöberg,et al.  Engine On/Off Control for Dimensioning Hybrid Electric Powertrains via Convex Optimization , 2013, IEEE Transactions on Vehicular Technology.

[24]  Huei Peng,et al.  Power management and design optimization of fuel cell/battery hybrid vehicles , 2007 .

[25]  Ali Emadi,et al.  Modern electric, hybrid electric, and fuel cell vehicles : fundamentals, theory, and design , 2009 .

[26]  Nikolce Murgovski,et al.  Optimal Powertrain Dimensioning and Potential Assessment of Hybrid Electric Vehicles , 2012 .

[27]  Srdjan M. Lukic,et al.  Energy Storage Systems for Automotive Applications , 2008, IEEE Transactions on Industrial Electronics.

[28]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[29]  Bo Egardt,et al.  Including a Battery State of Health model in the HEV component sizing and optimal control problem , 2013 .

[30]  Lino Guzzella,et al.  Optimal control of parallel hybrid electric vehicles , 2004, IEEE Transactions on Control Systems Technology.

[31]  Lino Guzzella,et al.  Battery State-of-Health Perceptive Energy Management for Hybrid Electric Vehicles , 2012, IEEE Transactions on Vehicular Technology.

[32]  M. Ouyang,et al.  Approximate Pontryagin’s minimum principle applied to the energy management of plug-in hybrid electric vehicles , 2014 .

[33]  Dimitri Peaucelle,et al.  SEDUMI INTERFACE 1.02: a tool for solving LMI problems with SEDUMI , 2002, Proceedings. IEEE International Symposium on Computer Aided Control System Design.

[34]  Andrew F. Burke,et al.  Batteries and Ultracapacitors for Electric, Hybrid, and Fuel Cell Vehicles , 2007, Proceedings of the IEEE.