To meet the requirement of timely and reliable trajectory planning of electric aircraft in urban airspace, our research proposes a Capacity Discretization-based Method with Adaptive Accuracy. The involved simulation model is first convexified with relaxation technique and reduced state dimension. To further compress the resultant nonlinear programming problem size, a new density function is built according to the polarization and voltage drop feature of lithium ion battery, such that the grids are placed where the dynamic discharging phenomenon is more significant, thus overcoming the issue of large grid size and strong nonlinearities in trajectory planning of electric aircraft. With the energy management technology fulfilling multiphysics constraints, the proposed method is applied to urban air mobility trajectory planning, with required computational time lower than 200ms, and range increased by 48%.
Publications
Wang M., Luiz S. O. D., Zhang S.*, Lima A. M. N. Desensitized Optimal Control of Electric Aircraft Subject to Electrical-Thermal Constraints. IEEE Transactions on Transportation Electrification, 2022, 8(4):4190-4204（SCI，JCR Q1，doi.org/10.1109/TTE.2022.3159172）
Wang M., Zhang S.*, Holzapfel F. Multi-Resolution Trajectory Optimization of eVTOL Aircraft Using Capacity Collocation in 2022 International Conference on Guidance, Navigation and Control. 2022, 739–749（EI，https://link.springer.com/chapter/10.1007/978-981-19-6613-2_74）
