通过系统级建模优化电动方程式赛车的性能
技术
- 其他 - 电池
- 传感器 - 自动驾驶传感器
适用行业
- 汽车
- 电网
适用功能
- 采购
- 产品研发
用例
- 智能停车
- 车辆到基础设施 (V2I)
服务
- 系统集成
- 测试与认证
关于客户
本例中的客户是领先的电动方程式车队。电动方程式锦标赛是一类仅使用电动汽车的赛车比赛。该系列赛于2012年构思，首届锦标赛于2014年9月在北京拉开帷幕。该系列赛得到了国际汽联的认可。客户团队认识到标准化电池带来的局限性，试图通过开发汽车的动态模型来优化汽车的性能。他们的目标是利用这些模型针对不同赛道、天气条件和进站情况制定定制的赛车策略，确保电池电量的最佳利用。
挑战
竞技比赛，尤其是电动方程式赛车的全电动赛事，对车手技术和工程创新的要求都达到最高水平。然而，该领域的法规非常严格，所有车辆的电池都已标准化。这使得团队的定制和性能增强领域有限。领先的电动方程式团队认识到这些限制，寻求开发汽车的动态模型，以找到优化系统以获得最佳性能的新方法。该团队的目标是针对不同赛道、天气条件和进站情况制定定制的赛车策略，确保电池电量的最佳利用。他们还希望结合实时模拟，以便在比赛期间变量发生变化时向团队更新信息，如果没有系统级建模工具，这一功能通常无法实现。
解决方案
Maplesoft 被要求开发一个动态汽车模型，该模型将根据真实世界的性能数据进行验证。该模型需要整合几个重要的系统，包括底盘、转向、轮胎、电池、逆变器、电机和变速箱。使用系统级建模工具 MapleSim，工程师能够捕获一个多域环境中每个系统的动态。该过程中的一个关键步骤是将模型参数与电动方程式团队提供的测试数据相关联，以确保在各种操作条件下获得准确的数据。通过将所有这些组件整合到一个系统中，电动方程式团队可以在尝试设计更好的赛车和更快的赛车策略时更好地了解权衡。该模型可以模拟各种场景下的理想性能，并为团队提供新的见解，例如修改驾驶员在某些转弯时加速的方式或在各种天气下使用 FanBoost 加速的理想时机。
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