Improving battery voltage prediction in an electric bicycle using altitude measurements and kernel adaptive filters.

•Prediction of voltage in an electric bicycle is improved using altitude measurements.•Novel kernel adaptive filter outperforms existing ones in electric bicycle case study.•Nonlinearity between voltage and altitude learnt from data using kernel methods.•Stochastic optimisation for finding optimal hyperparameters in proposed approach.•Low computational complexity allows for extensions and online implementation.