Summary information

Study title

Electric wheelchair power and drive cycle 2016-2017

Creator

Morgado Ramirez, D, University College London
Rasha, L, Electrochemical Innovation Lab (EIL), Department of Chemical Engineering
Barbareschi, G, University College London
Suzuki, T, University College London
Irving, C, University College London
Iain, M, University College London
Brett, D, Electrochemical Innovation Lab (EIL), Department of Chemical Engineering
Holloway, C, University College London

Study number / PID

853486 (UKDA)

10.5255/UKDA-SN-853486 (DOI)

Data access

Open

Series

Not available

Abstract

Improvements in electric wheelchair designs have left aside the power source. Electric wheelchair designs continue to use deep-cycle lead acid batteries which are heavy and large. The implementation of new lighter and smaller power sources for portable assistive technology, such as electric wheelchairs, requires the estimation of power demand under different driving conditions. These estimations are not available for electric wheelchairs. The estimation of power demand in the form of power cycles from driving cycles is a common methodology in the automotive industry and critical for sizing the power sources used in propulsion systems. The purpose of this data collection was to to determine electric wheelchair power and driving cycles in simulated standard outdoor conditions adapting a methodology derived from the microtrip approach, which is widely used in the automotive industry. The microtrip method allowed the testing of driving conditions to be examined separately and then combined to form a “typical” wheelchair journey which is presented here as a suggested representative electric wheelchair drive cycle.The aim of Power-Up! is to adapt an existing power add-on used by people who self-propel their wheelchairs so that it provides an optimal level of proportional assistance and incorporates fuel cell technology to drastically reduce the weight of the device. This will have considerable benefits both for those who self-propel and those currently pushed by a carer as it will increase a person's ability to push themselves, reducing the burden on carers and increasing the independence of wheelchairs users. The research idea has derived both from end-user demand and also technological advances in three areas: 1) The development of a light-weight force-sensing handrim for manual wheelchair users (the SenseWheel); 2) a model of proportional power assistance; 3) hybrid power source development incorporating a new low-cost, high-performance fuel cell technology. A key...
Read more

Methodology

Data collection period

01/08/2016 - 31/07/2017

Country

United Kingdom

Time dimension

Not available

Analysis unit

Other

Universe

Not available

Sampling procedure

Not available

Kind of data

Numeric

Data collection mode

A Typhoon II electric wheelchair (Invacare Corporation, Elyria, OH) was operated through five different tasks while acquiring the current used from the battery pack and while recording the rotational speed of the wheels. Eight different adult participants repeated each surface three times, each time is called a trial. Participants had no previous experience operating an electric wheelchair. Current was used to calculate power and rotational speed to calculate speed of the wheelchair. This data article presents the power and speed of the Typhoon II electric wheelchair while being operated through: cross slope 2.5%, cross slope 4%, ascending slope 6.1%, ascending slope 12%, flat surface. Power data was first filtered with a moving average filter with a window size of 100 and then low pass filtered with a zero phase 5th order Butterworth algorithm with a 1 Hz cut off frequency. Custom-built MATLAB scripts were implemented for analysis (R2015A The MathWorks Inc, MA, USA). The distance travelled was calculated from the wheels’ rotational speed. The wheelchair speed was calculated from the distance travelled and low pass filtered with a zero phase 5th order Butterworth algorithm with a 1 Hz cut off frequency.Mean (M) and maximum (Mmax) power for each trial, each participant and each task were computed. Then mean power (Mp) for each task was calculated by averaging the results across all trials and participants for each task. The latter represents the target values against which microtrips from each participant were measured in order to identify the most representative one. Median Absolute Deviation (MAD) between M for each participant and Mmax was calculated. The smallest MAD value for each task was chosen as the representative microtrip. The chosen microtrips were then combined based on a selected distance covered by the wheelchair. The total distance covered was arbitrarily set to approximately 66 m (216.5 ft). Integers from 1 to 5 were assigned to each task and a series of randomly generated numbers were used for the combination. The power cycle was constructed from the selected microtrips put together in the randomly generated order. A drive cycle was calculated from the speed calculated based on the distance travelled by the wheelchair through well-established vehicle dynamics equations.

Funding information

Grant number

EP/N022971/1

Access

Publisher

UK Data Service

Publication year

2019

Terms of data access

The Data Collection is available to any user without the requirement for registration for download/access.

Related publications

Not available