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为了提高汽车在道路上的通行效率,解决城市道路上由于不合理的速度控制造成汽车额外的能耗,甚至在信号灯路口被迫停车的问题,针对现阶段研究中主要采用基于简单规则的速度模型来优化求解速度曲线,且研究对象多局限于传统内燃机汽车而忽略了未来混合动力汽车能量管理优势带来的潜力等问题,提出基于遗传算法的混合动力汽车连续信号灯路口通行优化求解方法,建立变加速模型下的多约束非线性优化方程组和连续多个信号灯路口通行的场景模型。通过汽车行驶加速度和动力源的转矩分配关系,同时将速度曲线和混合动力汽车能量管理进行优化求解。研究结果表明:通用的优化算法在低车速时发动机效率低,额外的行驶时间带来了额外的油耗;在保证绿灯区间通行的条件下,所提方法在降低总油耗的同时实现了混合动力汽车能耗模型的优化管理,能够减少总油耗5%~29%,且该方法能有效降低通行时间,最高能够减少20.4%。
In order to improve the traffic efficiency on the road and solve the problem of additional energy consumption on the road due to unreasonable speed control in the urban road and even forced stoppage at the signal light junctions, a simple rule-based velocity model To optimize the solution speed curve, and the research object mostly confined to the traditional internal combustion engine car and ignoring the future potential advantages of hybrid energy management advantages of the proposed hybrid vehicle based on genetic algorithms continuous signal road intersection optimization solution method, the establishment of variable Multi - constrained nonlinear optimization equations under accelerating model and scene model of continuous traffic light crossing. Through the relationship between the vehicle acceleration and the torque distribution of the power source, the speed curve and hybrid vehicle energy management are optimized simultaneously. The results show that the general optimization algorithm has low engine efficiency at low vehicle speed and extra fuel consumption due to additional driving time. Under the condition of ensuring the green light interval, the proposed method can reduce the total fuel consumption and realize the hybrid vehicle The optimized management of the energy consumption model can reduce the total fuel consumption by 5% -29%, and the method can effectively reduce the travel time and can reduce the maximum by 20.4%.