An Improved Energy Management Strategy for Hybrid Energy Storage System in Light Rail Vehicles
Long Cheng,
Wei Wang,
Shaoyuan Wei,
Hongtao Lin and
Zhidong Jia
Additional contact information
Long Cheng: National Active Distribution Network Technology Research Center, Beijing Jiaotong University, Beijing 100044, China
Wei Wang: National Active Distribution Network Technology Research Center, Beijing Jiaotong University, Beijing 100044, China
Shaoyuan Wei: National Active Distribution Network Technology Research Center, Beijing Jiaotong University, Beijing 100044, China
Hongtao Lin: National Active Distribution Network Technology Research Center, Beijing Jiaotong University, Beijing 100044, China
Zhidong Jia: National Active Distribution Network Technology Research Center, Beijing Jiaotong University, Beijing 100044, China
Energies, 2018, vol. 11, issue 2, 1-15
Abstract:
A single-objective optimization energy management strategy (EMS) for an onboard hybrid energy storage system (HESS) for light rail (LR) vehicles is proposed. The HESS uses batteries and supercapacitors (SCs). The main objective of the proposed optimization is to reduce the battery and SC losses while maintaining the SC state of charge (SOC) within specific limits based on the distance between consecutive LR stations. To do this, a series of optimized SOC limits is used to prevent the SC from becoming exhausted prematurely instead of the standard SC SOC penalty term in the cost function. Meanwhile, a rule-based EMS (RB-EMS) is used to give the SCs charging priority over the batteries when the vehicle is braking. Moreover, a simplified method for the optimization is proposed to reduce the computational burden. Simulation and experimental results for the proposed EMS and a standard SC SOC penalty-based cost function optimization are provided to evaluate losses. As a result, it is shown that the proposed EMS, compared with standard SC SOC penalty-based cost function optimization, decreases losses and prevents the SOC from reach the discharging limits.
Keywords: energy management strategy; supercapacitors; batteries; light rail (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (8)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:2:p:423-:d:131569
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