Coupled energy management algorithm for MESS in urban EV

• Published in: IET electrical systems in transportation 2017-06, Vol.7 (2), p.125-134
• Main Authors: Trovão, João Pedro, Silva, Mário António, Dubois, Maxime R
• Format: Article
• Language: English
• Subjects: battery lifetime improvement; battery power reference signal; battery powered vehicles; control loop; coupled energy management algorithm; coupled energy management strategy; electric vehicles; EMS; energy flow control; energy management system; energy management systems; filtering theory; FLC; frequency decoupling; fully‐decoupled MESS; fuzzy control; fuzzy logic controller; innovative coupled energy management algorithm; load flow control; Matlab‐Simulink environment; multisource energy storage systems; online filtering technique; on‐board MESS; power‐flow control; power‐level reduced‐scale hardware‐in‐the‐loop simulation; power‐level reduced‐scale HIL simulation; Research Article; supercapacitors; urban EV
• ISSN: 2042-9738; 2042-9746; 2042-9746
• DOI: 10.1049/iet-est.2016.0001

Multi-source energy storage systems (MESSs) have been gaining prominence in electric vehicles (EVs) research area. Energy- and power-flow control of on-board MESS and its integration are essential to the performance of urban EVs. Development of an energy management system (EMS) is an important issue with significant influence on the EV range and capabilities. In this study, an innovative coupled energy management algorithm is presented, applied to a fully decoupled MESS containing batteries and supercapacitors (SCs). The proposed energy management algorithm uses an original online filtering technique coupled to a fuzzy logic controller (FLC). The main advantages of the coupled approach and filtering are identified and discussed. The online filtering technique is placed inside the control loop, allowing the decoupling of the frequency of the battery power reference signal given by the FLC. The control loop as well as the EMS were previously simulated in MATLAB/Simulink™ for an urban EV. Furthermore, the coupled EMS has been validated through power-level reduced-scale hardware-in-the-loop (HIL) simulations. The experimental results show the effectiveness of the proposed coupled energy management algorithm. As a result of this development, the proposed EMS is effective in controlling the power-flows with battery lifetime improvement and optimisation in EV performance.