Design method of a power management strategy for variable battery capacities range-extended electric vehicles to improve energy efficiency and cost-effectiveness. (15th February 2017)

• Record Type: Journal Article
• Authors: Du, Jiuyu; Chen, Jingfu; Song, Ziyou; Gao, Mingming; Ouyang, Minggao
• Is Part Of: Energy. Volume 121(2017)
• Page Start: 32
• Page End: 42
• Publication Date: 2017-02-15
• Subjects: Range-extended electric vehicle -- Optimal control strategy -- Energy efficiency -- Variable battery capacities -- Power split ratio -- Fuel consumption; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2016.12.120
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: Energy management strategy and battery capacity are the primary factors for the energy efficiency of range-extended electric buses (REEBs). To improve the energy efficiency of REEBs developed by Tsinghua University, an optimal design method of global optimization-based strategy is investigated. It is real-time and adaptive to variable traction battery capacities of series REEBs. For simulation, the physical model of REEB and key components are established. The optimal strategy is first extracted by the power split ratio (PSR) from REEB simulation result with dynamic program (DP) algorithm. The power distribution map is obtained by series simulations for variable battery capacity options. The control law for developing optimal strategy are achieved by cluster regression for power distribution data. To verify the effect of the proposed energy management strategy, characteristics of powertrain, energy efficiency, operating cost, and computing time are ultimately analyzed. Simulation results show that the energy efficiency of the global optimization-based strategy presented in this paper is similar to that of the DP strategy. Therefore, the overall energy efficiency can be significantly improved compared with that of the CDCS strategy, and operating costs can be substantially reduced. The feasibility of candidate control strategies is thereby assessed via the employment of variable parameters. Highlights: Analysis method of powertrain energy efficiency and power distribution is proposed. The power distribution rules of strategy with variable battery capacities are achieved. The parametric method of proposed PSR-RB strategy is presented. The energy efficiency of powertrain is analysis by flow analysis method. The energy management strategy is global optimization-based and real-time.