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As the deployment of low carbon transportation technologies, specificallyelectric vehicles (EVs), is increasing, the concept of their eco-driving isgaining significant attention. Contrary to the eco-driving techniques used inconventional internal combustion engine vehicles that do not have thecapability of regenerative braking, this paper proposes a genetic algorithm(GA)-based eco-driving technique for EVs considering regenerative braking. Inthe proposed approach, the optimal or near-optimal combination of variables inthe driving cycle of EVs is searched using GA. The proposed approach starts bygenerating an initial population of chromosomes, where all variables underconsideration are encoded in each chromosome. This population of chromosomes ispassed through crossover, mutation, and elitist-based selection over a certainnumber of generations, which results in a driving cycle with the least energyconsumption. The proposed method is verified using two case studies. Theresults of the case studies show the capability of the proposed method incomputing the minimum energy driving cycle.

A GA-based Approach to Eco-driving of Electric Vehicles Considering Regenerative Braking