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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part D. Journal of Automobile Engineering >Adaptive equivalent consumption minimisation strategy and dynamic control allocation-based optimal power management strategy for four-wheel drive hybrid electric vehicles
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Adaptive equivalent consumption minimisation strategy and dynamic control allocation-based optimal power management strategy for four-wheel drive hybrid electric vehicles

机译：四轮驱动混合动力电动汽车的自适应等效消费最小化战略与动态控制分配最优电源管理策略

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摘要

An adaptive equivalent consumption minimisation strategy and dynamic control allocation-based optimal power management strategy for a four-wheel drive plug-in hybrid electric vehicle is proposed in this paper. The equivalent factors of adaptive equivalent consumption minimisation strategy are optimised offline based on ISIGHT software over several typical driving cycles, which is integrated with AVL CRUISE and MATLAB/Simulink. To update the equivalent factor adaptively according to the predictive velocity, a neural network-based optimal equivalent factor prediction model is built, which can be used online. The torque distribution strategy considering axle load based on energy management strategy optimisation results and the vehicle dynamics control distribution is proposed: this includes two-wheel drive torque distribution, four-wheel drive torque distribution and brake torque distribution. The proposed energy management strategy is verified in New European Driving Cycle and Worldwide harmonised Light Vehicle Test Cycle driving patterns, and the simulation results show that the fuel economy of adaptive equivalent consumption minimisation strategy and dynamic control allocation-based optimal power management strategy is improved by 8.84% and 7.52% in New European Driving Cycle and Worldwide harmonised Light Vehicle Test Cycle, respectively, compared with the benchmark algorithm-based strategy.
机译：本文提出了一种自适应等效的消耗最小化策略和基于动态控制分配的四轮驱动插入式混合动力电动车辆的最佳电力管理策略。自适应等效消费最小化策略的等效因素是基于几种典型驱动周期的iSight软件的离线优化，与AVL Cruise和Matlab / Simulink集成。为了根据预测速度自适应地更新等效因子，构建了神经网络的最佳等效项预测模型，可以在线使用。考虑基于能量管理战略优化结果和车辆动力学控制分布的扭矩分布策略：这包括双轮驱动扭矩分布，四轮驱动扭矩分布和制动扭矩分布。拟议的能源管理策略在新的欧洲驾驶周期和全球统一的轻型车辆测试周期驾驶模式中核实，仿真结果表明，适应等效消费最小化战略和动态控制分配的最优电源管理策略的燃油经济性得到了改善与基于基于基于基准算法的策略相比，新欧洲驾驶周期和全球谐波的轻型车辆测试周期分别为8.84％和7.52％。

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