Supercapacitors in tandem with batteries to prolong the range of UGV systems

Namin Shah, Dariusz Czarkowski

Research output: Contribution to journalArticle

Abstract

The purpose of this study was to explore a novel approach to power hybridization in relation to its effectiveness in an unmanned ground vehicle (UGV). This hybridization method is modeled after the power distribution methods found in living organisms, which utilize glycogen stores and adipose tissue to optimize power and energy density strengths and weaknesses. A UGV rover was constructed with an appropriate distribution of power storage elements creating separate power buffers. The primary buffer consisted of a 10Wsolar panel array and a 600 F, 5.4 V supercapacitor bank, and the secondary buffer consisted of a 3.7 V 6 Ah lithium-ion battery pack. The primary buffer provided virtually limitless charge cycles with a superior power density juxtaposed with a secondary buffer that provided superior energy density and volumetric versatility. The design of this rover is presented in this paper; it was tested under manual and autonomous modes. The rover was found to be capable of effectively operating solely on the primary power buffer in high to low luminous conditions while being able to carry out basic extravehicular activities. The rover could travel roughly 22 km without any input power on a full charge of both buffers, and could smoothly switch between its own power buffers during operation, all while transmitting live first person video (FPV) and network data. The introduction of control algorithms on the onboard microcontroller unit (MCU) was also explored in both manual and autonomous configurations. The latter integrated linear regression to intelligently manage power and locomotion based on sensory data from photoresistors.

Original languageEnglish (US)
Article number6
JournalElectronics (Switzerland)
Volume7
Issue number1
DOIs
StatePublished - Jan 1 2018

Fingerprint

Unmanned vehicles
Ground vehicles
Photoresistors
Microcontrollers
Linear regression
Switches
Tissue
Supercapacitor
Glycogen
Lithium-ion batteries

Keywords

  • Exploration
  • Hybridization
  • Internet-of-Things
  • Lithium-ion
  • Machine-learning
  • Perturb-and-observe
  • Rover
  • Solar
  • Supercapacitors
  • Unmanned-ground-vehicle

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Hardware and Architecture
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Supercapacitors in tandem with batteries to prolong the range of UGV systems. / Shah, Namin; Czarkowski, Dariusz.

In: Electronics (Switzerland), Vol. 7, No. 1, 6, 01.01.2018.

Research output: Contribution to journalArticle

@article{e1b5f32bcdcc447b807c3921e13b97b2,
title = "Supercapacitors in tandem with batteries to prolong the range of UGV systems",
abstract = "The purpose of this study was to explore a novel approach to power hybridization in relation to its effectiveness in an unmanned ground vehicle (UGV). This hybridization method is modeled after the power distribution methods found in living organisms, which utilize glycogen stores and adipose tissue to optimize power and energy density strengths and weaknesses. A UGV rover was constructed with an appropriate distribution of power storage elements creating separate power buffers. The primary buffer consisted of a 10Wsolar panel array and a 600 F, 5.4 V supercapacitor bank, and the secondary buffer consisted of a 3.7 V 6 Ah lithium-ion battery pack. The primary buffer provided virtually limitless charge cycles with a superior power density juxtaposed with a secondary buffer that provided superior energy density and volumetric versatility. The design of this rover is presented in this paper; it was tested under manual and autonomous modes. The rover was found to be capable of effectively operating solely on the primary power buffer in high to low luminous conditions while being able to carry out basic extravehicular activities. The rover could travel roughly 22 km without any input power on a full charge of both buffers, and could smoothly switch between its own power buffers during operation, all while transmitting live first person video (FPV) and network data. The introduction of control algorithms on the onboard microcontroller unit (MCU) was also explored in both manual and autonomous configurations. The latter integrated linear regression to intelligently manage power and locomotion based on sensory data from photoresistors.",
keywords = "Exploration, Hybridization, Internet-of-Things, Lithium-ion, Machine-learning, Perturb-and-observe, Rover, Solar, Supercapacitors, Unmanned-ground-vehicle",
author = "Namin Shah and Dariusz Czarkowski",
year = "2018",
month = "1",
day = "1",
doi = "10.3390/electronics7010006",
language = "English (US)",
volume = "7",
journal = "Electronics (Switzerland)",
issn = "2079-9292",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "1",

}

TY - JOUR

T1 - Supercapacitors in tandem with batteries to prolong the range of UGV systems

AU - Shah, Namin

AU - Czarkowski, Dariusz

PY - 2018/1/1

Y1 - 2018/1/1

N2 - The purpose of this study was to explore a novel approach to power hybridization in relation to its effectiveness in an unmanned ground vehicle (UGV). This hybridization method is modeled after the power distribution methods found in living organisms, which utilize glycogen stores and adipose tissue to optimize power and energy density strengths and weaknesses. A UGV rover was constructed with an appropriate distribution of power storage elements creating separate power buffers. The primary buffer consisted of a 10Wsolar panel array and a 600 F, 5.4 V supercapacitor bank, and the secondary buffer consisted of a 3.7 V 6 Ah lithium-ion battery pack. The primary buffer provided virtually limitless charge cycles with a superior power density juxtaposed with a secondary buffer that provided superior energy density and volumetric versatility. The design of this rover is presented in this paper; it was tested under manual and autonomous modes. The rover was found to be capable of effectively operating solely on the primary power buffer in high to low luminous conditions while being able to carry out basic extravehicular activities. The rover could travel roughly 22 km without any input power on a full charge of both buffers, and could smoothly switch between its own power buffers during operation, all while transmitting live first person video (FPV) and network data. The introduction of control algorithms on the onboard microcontroller unit (MCU) was also explored in both manual and autonomous configurations. The latter integrated linear regression to intelligently manage power and locomotion based on sensory data from photoresistors.

AB - The purpose of this study was to explore a novel approach to power hybridization in relation to its effectiveness in an unmanned ground vehicle (UGV). This hybridization method is modeled after the power distribution methods found in living organisms, which utilize glycogen stores and adipose tissue to optimize power and energy density strengths and weaknesses. A UGV rover was constructed with an appropriate distribution of power storage elements creating separate power buffers. The primary buffer consisted of a 10Wsolar panel array and a 600 F, 5.4 V supercapacitor bank, and the secondary buffer consisted of a 3.7 V 6 Ah lithium-ion battery pack. The primary buffer provided virtually limitless charge cycles with a superior power density juxtaposed with a secondary buffer that provided superior energy density and volumetric versatility. The design of this rover is presented in this paper; it was tested under manual and autonomous modes. The rover was found to be capable of effectively operating solely on the primary power buffer in high to low luminous conditions while being able to carry out basic extravehicular activities. The rover could travel roughly 22 km without any input power on a full charge of both buffers, and could smoothly switch between its own power buffers during operation, all while transmitting live first person video (FPV) and network data. The introduction of control algorithms on the onboard microcontroller unit (MCU) was also explored in both manual and autonomous configurations. The latter integrated linear regression to intelligently manage power and locomotion based on sensory data from photoresistors.

KW - Exploration

KW - Hybridization

KW - Internet-of-Things

KW - Lithium-ion

KW - Machine-learning

KW - Perturb-and-observe

KW - Rover

KW - Solar

KW - Supercapacitors

KW - Unmanned-ground-vehicle

UR - http://www.scopus.com/inward/record.url?scp=85040945497&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85040945497&partnerID=8YFLogxK

U2 - 10.3390/electronics7010006

DO - 10.3390/electronics7010006

M3 - Article

AN - SCOPUS:85040945497

VL - 7

JO - Electronics (Switzerland)

JF - Electronics (Switzerland)

SN - 2079-9292

IS - 1

M1 - 6

ER -