机译:基于MOEA / D算法的电液制动系统多目标优化
Nanjing Univ Aeronaut & Astronaut, Coll Energy & Power Engn, Nanjing 210016, Peoples R China|Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China;
Nanjing Univ Aeronaut & Astronaut, Coll Energy & Power Engn, Nanjing 210016, Peoples R China|Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China;
Nanjing Univ Aeronaut & Astronaut, Coll Energy & Power Engn, Nanjing 210016, Peoples R China;
China Univ Petr, Coll Electromech Engn, Qingdao 257091, Peoples R China;
regenerative braking; evolutionary computation; optimisation; electric vehicles; electric motors; brakes; valves; multiobjective optimisation; electro-hydraulic composite braking system; MOEA-D algorithm; electric vehicle; motor regenerative braking; endurance mileage; energy flow processes; energy recovery; energy consumption; hydraulic pump; brake line; brake valve; brake sense; energy loss; evaluation index; optimisation objectives; ECE regulations; multiobjective evolutionary algorithm-based-on-decomposition;
机译:基于遗传算法的电动汽车电动液压复合制动系统控制策略的多目标优化:
机译:基于速度伺服系统的电动液压制动系统与防锁制动系统的合作工作主缸压力减小逻辑
机译:基于非线性和不确定性压力估计的电液制动系统制动压力控制
机译:基于精确控制液压制动力的电液制动,对四轮驱动电动汽车的防姑式制动控制系统
机译:开发用于电动液压系统的位移,速度和压力控制的高级算法。
机译:基于甲壳虫天线搜索算法的电液位置伺服控制系统优化PID控制器
机译:基于遗传算法的电动汽车电液复合制动系统控制策略的多目标优化