Chance-constrained battery management for electric bus scheduling
针对电动公交调度中能耗随机的问题，提出机会约束规划模型，通过概率性荷电状态约束管理电池，并用分支定价算法求解，在降低运营成本的同时确保电池策略合规。
• Chance-constrained formulation for the electric vehicle scheduling problem with stochastic energy consumption. • Battery management guidelines enforced through probabilistic state-of-charge constraints. • Branch-and-price algorithm with stochastic pricing and dominance rules. • Explicit modeling of nonlinear charging, partial charging, and charger capacity limits. • Stochastic approach reduces operational costs while maintaining battery policy compliance.