紧急转向工况轮毂电机电动汽车多目标转矩分配策略

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Multi-objective torque distribution strategy for hub motor electric vehicles under emergency steering conditions

FANXiaobin，PENG Jiaxing

（HenanPolytechnic University，SchoolofMechanicalandPowerEngineering，Jiaozuo454ooo，China）

Abstract：A multi-objective optimization strategy based on thenon-dominated sorting geneticalgorithml （NSGA-ll）was developed to improve steering stabilityand occupant comfort in hub-motor electric vehicles underemergency steering conditions.The strategy adopted a direct yaw moment control method to design the optimizedobjective function for handling stabilityand occupant comfort，taking intoaccount generalized force equationconstraints such as longitudinaldesired torqueand additional yaw moment.The optimal torque solution was selected in the pareto frontcalculated by NSGA-llaccording to the dynamicconditions of thevehicle.The resultsshow thatcompared to theaxle loadratio （ALR）and weighted least squares （WLS）strategies，for highspeed steering，theroot-mean-squareerrorsof thevehicle sideslipangleandtheyawrateof theoptimization strategy with respect to the reference valuesare reduced by 37.45% 52.08% ，and 41.98% 56.95% respectively， and theamplitudesof its lateralaccelerationand torquearealso smaler.Theefectivenessof the proposed strategyfor torque distributionduring emergency steering of hub-motorelectric vehicles is demonstrated to improve the vehicle steering stability and occupant comfort.

Key words： hub-motor electric vehicles； non-dominated sorting genetic algorithmll （NSGA-ll）； torque distribution；handling stability；occupant comfort

近年来，轮毂电机电动汽车越来越受到汽车行业和学术界的关注[1，其具有优异的直接横摆力矩控制性能和车辆空间利用率[2]。（剩余11865字）