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首页> 外文期刊>IEEE Transactions on Industrial Electronics >Fuzzy-logic-based torque control strategy for parallel-type hybrid electric vehicle
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Fuzzy-logic-based torque control strategy for parallel-type hybrid electric vehicle

机译：基于模糊逻辑的并联式混合动力汽车转矩控制策略

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摘要

In a parallel-type hybrid electric vehicle (HEV), torque assisting and battery recharging control using the electric machine is the key point for efficient driving. In this paper, by adopting the decision-making property of fuzzy logic, the driving map for an HEV is made according to driving conditions. In this fuzzy logic controller, the induction machine torque command is generated from the acceleration pedal stroke and its rotational speed. To construct a proper rule base of fuzzy logic, the dynamo test and road tests for a hybrid powertrain are carried out, where the torque and the nitrogen oxides (NO/sub x/) emission characteristic of the diesel engine and the driver's driving patterns are acquired, respectively. An HEV, a city bus for shuttle service, with the proposed fuzzy-logic-based driving strategy was built and tested at a real service route. It reveals that the improved NO/sub x/ emission and better charge balance without an extra battery charger over the conventional deterministic-table-based strategy.
机译：在并联型混合动力电动汽车（HEV）中，使用电机的扭矩辅助和电池充电控制是高效驾驶的关键。本文通过采用模糊逻辑的决策属性，根据驾驶条件绘制了混合动力汽车的驾驶图。在该模糊逻辑控制器中，感应电机转矩指令是根据加速踏板行程及其转速生成的。为了构建适当的模糊逻辑规则库，对混合动力总成进行了发电机测试和道路测试，其中柴油发动机的扭矩和氮氧化物（NO / sub x /）排放特性以及驾驶员的驾驶方式为分别获得。建立了HEV，这是一种用于班车服务的城市公交车，具有拟议的基于模糊逻辑的驾驶策略，并在实际服务路线上进行了测试。它表明，与传统的基于确定性表的策略相比，无需额外的电池充电器，NO / sub x /排放得以改善，电荷平衡更好。

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