Energy optimization path planning for battery-powered agricultural rover

Niu, Cong and Yan, Xiutian (2018) Energy optimization path planning for battery-powered agricultural rover. MATEC Web of Conferences, 173. 02001. ISSN 2261-236X (https://doi.org/10.1051/matecconf/201817302001)

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Abstract

Battery life is critical for battery-powered agricultural rovers, so techniques such as optimized moving path planning are of great significance in this field. Finding an optimized path other than straight-line path could save energy and prolong the battery life. Compared with traditional straight-line path planning, an energy-optimized path planning is realized based on artificial potential field algorithm. In simulation studies, most of the uphill is avoided and at least 10.15 % of energy is saved with the optimized path planning. We believe this energy optimization path planning algorithm is a feasible solution to extend the battery life for field operated agricultural rover.

ORCID iDs

Niu, Cong and Yan, Xiutian ORCID logoORCID: https://orcid.org/0000-0002-3798-7414;
CORE (COnnecting REpositories)