© 2022 IEEE.The ever-growing battery electric vehicle market (BEV) have reached several millions of sales annually, as a result of significant electrification of transport efforts globally. Accurate estimation of energy consumed by BEVs is of major importance especially for charging station selection, route planning and development of energy-efficient driving strategies in both manual and autonomous driving. One of the ways of achieving this is to conduct experiments on real BEVs, which is costly and labor intensive. An alternative to real life experimentation is to design high-fidelity mathematical models for energy consumption of BEVs and feed this model with experimental standardized driving cycles. This study develops and investigates the capabilities and advantages of a generic, detailed, modular BEV model. The effects of wide range of parameters on energy consumption of a BEV are analyzed comprehensively. The study is concluded by discussing the promising potential areas of use of the developed model.