Decision-Flux Optimization-based energy management for battery-supercapacitor hybrid storage in electric vehicles: battery lifetime and efficiency enhancement
Zhen Wen, Maroun Kuoki, Leren Qian, Mohammad Khishe · 2026
Read Decision-Flux Optimization-based energy management for battery-supercapacitor hybrid storage in electric vehicles: battery lifetime and efficiency enhancement by Zhen Wen, Maroun Kuoki, Leren Qian, Mohammad Khishe (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13542090.txt.
Description
Zhen Wen and colleagues propose a tuning method in a 2026 study. The setting is electric vehicle energy systems. Each system pairs a battery with a supercapacitor. The supercapacitor handles power bursts. That spares the battery and slows its ageing. The gain hinges on how control settings split the work.
Their method is called Decision-Flux Optimization. It searches settings by simulation. It accepts only changes that keep every trace inside safe limits. The limits cover charge, voltage, and power. On a standard driving cycle, battery stress came out lowest. Eight rival strategies scored worse. Modelling projected about 3,720 cycles before the battery faded to eighty percent.
Catalog record
| CREATOR | Zhen Wen, Maroun Kuoki, Leren Qian, Mohammad Khishe |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 84038 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |