Integrated prognostic health monitoring of battery health in ground robots

Eddie C. Crow, Karl Martin Reichard, Jim Kozlowski, Chris Rogan, Gaurav Puri

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

Batteries are critical components in both manned and unmanned systems. In applications such as explosive ordnance disposal, loss of electrical power can put the operational team in imminent danger if the system must be retrieved from the field. The Applied Research Laboratory at Penn State, in conjunction with John Deere and Applied Perception, Inc., has recently completed a research program to install, test and evaluate the performance of a battery prognostics system onboard an unmanned ground vehicle. Battery prognostic health monitoring provides accurate assessment of battery state of charge (how much charge is left), state of health (what's wrong with the battery), and state of life (how many charge cycles remain). This paper describes the application of battery prognostic health monitoring technology to a robotic platform - a tele-operated John Deere Gator. The paper describes the implementation and effectiveness of battery prognostic health monitoring as well as overall UGV power utilization and management. The paper also describes the impact of power health monitoring on operations, mission planning, maintenance and support, and logistics by showing its effect in several operational scenarios. The program was funded under the sponsorship of the National Center for Defense Robotics (NCDR).

Original languageEnglish (US)
Pages309-323
Number of pages15
StatePublished - Dec 1 2005
EventAUVSI's Unmanned Systems North America 2005 - Baltimore, MD, United States
Duration: Jun 28 2005Jun 30 2005

Other

OtherAUVSI's Unmanned Systems North America 2005
CountryUnited States
CityBaltimore, MD
Period6/28/056/30/05

Fingerprint

Health
Robots
Monitoring
Robotics
Ordnance
Unmanned vehicles
Ground vehicles
Research laboratories
Logistics
Electric power utilization
Planning

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Crow, E. C., Reichard, K. M., Kozlowski, J., Rogan, C., & Puri, G. (2005). Integrated prognostic health monitoring of battery health in ground robots. 309-323. Paper presented at AUVSI's Unmanned Systems North America 2005, Baltimore, MD, United States.
Crow, Eddie C. ; Reichard, Karl Martin ; Kozlowski, Jim ; Rogan, Chris ; Puri, Gaurav. / Integrated prognostic health monitoring of battery health in ground robots. Paper presented at AUVSI's Unmanned Systems North America 2005, Baltimore, MD, United States.15 p.
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Crow, EC, Reichard, KM, Kozlowski, J, Rogan, C & Puri, G 2005, 'Integrated prognostic health monitoring of battery health in ground robots' Paper presented at AUVSI's Unmanned Systems North America 2005, Baltimore, MD, United States, 6/28/05 - 6/30/05, pp. 309-323.

Integrated prognostic health monitoring of battery health in ground robots. / Crow, Eddie C.; Reichard, Karl Martin; Kozlowski, Jim; Rogan, Chris; Puri, Gaurav.

2005. 309-323 Paper presented at AUVSI's Unmanned Systems North America 2005, Baltimore, MD, United States.

Research output: Contribution to conferencePaper

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Crow EC, Reichard KM, Kozlowski J, Rogan C, Puri G. Integrated prognostic health monitoring of battery health in ground robots. 2005. Paper presented at AUVSI's Unmanned Systems North America 2005, Baltimore, MD, United States.