Menu
Range Estimation and Battery Optimization
OVERVIEW
Our engineers are equipped with the tools to perform complex engineering simulations for a variety of use cases. This particular project involved estimating the range of an electric scooter based on the New European Drive Cycle (NEDC). Leveraging in-depth mathematical models in MATLAB, taking into account the duty cycle and temperature characteristics of the cells, we were table to accurately predict the scooter's range. These simulations and predictions help design optimization to fine-tune various products for performance. This capability in advanced modelling helps us commit to enhancing your products’ efficacy.
Drive Cycle
The NEDC includes two sections: the Urban Cycle and the Extra Urban Cycle. We concentrated on the Urban Cycle for our range estimations, as it falls within the scooter's operational speed range. By honing in on the Urban Cycle, we ensured our estimations are accurate and relevant to typical city driving conditions.
Foundation for Mathematical Model
The graphs illustrate the lithium-ion cell voltage at different states of charge and motor efficiency. These plots are fundamental to our mathematical models, providing the critical data needed to ensure accurate and reliable range estimations.
Range Estimation
The graph illustrates battery utilization over one complete cycle, including the effects of regenerative braking. By employing advanced mathematical techniques, we optimized the battery size, as batteries represent a significant cost and weight in electric scooters. Our calculations aim to reduce costs while ensuring the final product meets commercial needs, resulting in a lean solution.
Premium Engineering Development Services
Menu